CDSB Course Catalog
Semesters
Accounting
Mandatory Courses
E 700 Mathematics for Economics
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
E 701 Advanced Microeconomics I (for Business)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | O 226–28 Seminarraum; Schloss Ostflügel |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | 009 Seminarraum; L 9, 1–2 |
| ⚠ Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | 009 Seminarraum; L 9, 1–2 |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 15:30 – 17:00 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
| ⚠ Wednesday (weekly) | 14.10.2026 – 02.12.2026 | 10:15 – 11:45 | EO 145 Hörsaal (Bürgerhörsaal); Schloss Ehrenhof Ost |
| Thursday (weekly) | 15.10.2026 – 03.12.2026 | 15:30 – 17:00 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 15.10.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 22.10.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Monday (single date) | 09.11.2026 | 09:30 – 11:30 | EO 150 AbsolventUM Hörsaal; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.12.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
The course is aimed at doctoral students in all fields of business administration. It provides an introduction to microeconomic theory on a graduate level, highlighting aspects which are of specific relevance for business research.
The main topics covered include:
- Theory of consumer choice under certainty and uncertainty
- Theory of the firm, production cost and supply
- Markets, equilibrium, welfare
- Strategic behavior under complete and incomplete information
- Incentives and asymmetric information
E 703 Advanced Econometrics I (for Business)
This course does not have limited capacity.
The course starts in October. The additional September sessions are
voluntary refreshers for those students who do not have to take E700
Mathematics for Economists
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
The course is designed to offer an advanced treatment to econometric theory and applications. Topics covered include: Matrix Algebra and Probability Theory, Ordinary Least Squares, Maximum Likelihood, Generalized Method of Moments, time series and panel data econometrics. Attendance in the lectures and exercise sessions are mandatory. Attempting exercise questions ahead of each session and taking active part during the course of the sessions is essential.
The course is also part of the TRR 266 Accounting for Transparency
ACC/ TAX 910 Area Seminar
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | O 226–28 Seminarraum; Schloss Ostflügel |
ACC 920 Brown Bag Seminar
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (weekly) | 23.09.2026 – 30.09.2026 | 13:45 – 15:15 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
| Wednesday (weekly) | 23.09.2026 – 30.09.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
ACC/ TAX 916 Applied Econometrics I
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 08:30 – 10:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 08:30 – 10:00 | O 226–28 Seminarraum; Schloss Ostflügel |
The course gives an applied introduction to the methodology employed in the empirical research literature. The main topics include: Ordinary least squares, instrumental variables estimation, and panel data econometrics. Further topics may also be included according to demand by participants.
The covered material enables students to apply the econometric methods which are commonly used in economic research. Special attention is given to the interpretation of empirical results and understanding the potential caveats of different approaches.
Academic Writing Course
| Thursday (single date) | 29.10.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (single date) | 19.11.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 11.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 25.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Saturday (single date) | 26.09.2026 | 09:00 – 13:00 | P 043 Seminarraum; L 7, 3–5 |
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
| Thursday (weekly) | 17.09.2026 – 03.12.2026 | 12:00 – 13:30 | ZOOM-Lehre-103; Virtuelles Gebäude |
For Master Students the course will be examined by an oral exam (50% presentation + 50% assignment) . Grading is 50% Oral Presentation + 50% Assignment.
For PhD students, this is a Pass/
- Give a paper presentation in building block 1.
- Participate in an IAT in building block 2.
- Give a conference presentation in building block 3.
- Participate in a negotiation in building block 4.
- Full and active participation in all four building blocks is necessary to pass the course.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Monday (block date) | 26.10.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 02.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 09.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 16.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
This course takes an interdisciplinary approach to examine the gender gap in leadership positions.
We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment.
The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.
The course consists of four core building blocks:
1. Women in Leadership: The Economic Perspective.
This part of the course focusses on (economic) reasons for gender gaps in leadership positions. We start by looking at the status quo of women in leadership. Course participants are introduced to statistics on the fraction of women in various leadership positions (with an emphasis on women in academia). We will discuss time trends and differences across countries. Research evidence on the effectiveness of gender equality measures such as gender quotas and family friendly policies will be discussed and their impact on economic outcome variables such as women’s labor market choices and the gender pay gap will be examined. We will also examine gender differences in risk preferences and in the willingness to compete. The last part of this section deals with role model effects and students will be asked to prepare a short presentation on a female role model.
2. Women in Leadership: The Psychological Perspective.
The psychological perspective addresses gender stereotypes as one of the key barriers to female advancement into attractive organizational positions such as leadership positions. Gender stereotypes reflect widely shared expectations about the characteristics of men and women (descriptive component of gender stereotypes), but they can also prescribe how women and men should or should not behave (prescriptive stereotypes). Both kinds of stereotypical expectations about men and women can impact the way men and women define themselves and are perceived by others. Three sessions dealing with leadership and gender stereotypes will discuss stereotype contents, the changes over time and their impact on gender differences in leadership aspirations and success. In this context, we will address topics such as the “Think Manager – Think Male” – phenomenon, research on the Glass metaphors (glass ceiling, glass escalator, glass cliff), Queen Bee effects, backlash effects, as well as failure-as-an-asset effects. Students will be asked to discuss practical implications of the research presented and develop own ideas regarding interventions to increase the number of female leaders.
3. “Raise Your Voice” – Rhetoric Training
The third block consists of a hands-on training on delivering presentations in an academic context. Students will be instructed to present their research findings in a conference-like scenario. They will learn how to present their work in a convincing and professional manner and how to adequately respond to (critical) questions. Each student will have to give a short presentation and will receive individual feedback by the instructor on how to improve their presentation skills.
For successful training, students are asked to prepare the following items before the beginning of this block:
- Prepare a short presentation (5–7 minutes) on the following question: “What excites me about my research topic?”
- Bring a video-capable device (mobile phone or tablet) for the video exercises.
4. “Raise Your Pay” – Negotiation Training
The final part of this course teaches students negotiation skills. Students learn how to carry their point in a negotiation, how to deal with conflicts, and how to react to verbal attacks. Students will have to participate in a negotiation game and receive individual feedback by the instructor to improve their negotiation skills.
Training concept:
- Develop strategic negotiation skills for career advancement
- Apply theoretical insights through practical exercises
- Improve decision-making and conflict resolution capabilities
- Build a toolkit of negotiation tactics for salary, promotion, and career opportunities
As a prerequisite for participating in this training, students are expected to submit one personal negotiation topic in advance that they would like to address and develop during the course.
Bridge Course from the course offer of the CDSB (Management)
| Thursday (single date) | 17.09.2026 | 10:15 – 12:15 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (single date) | 06.10.2026 | 13:45 – 14:45 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 19.11.2026 | 10:00 – 17:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
Bridge Course from the course offer of the CDSB (Operations Management)
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Friday (weekly) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Thursday (weekly) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Bridge Course from the course offer of the CDSS (Political Science)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Bridge Course from the course offer of the CDSS (Psychology)
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
Bridge Course from the course offer of the CDSS (Sociology)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
Course from the doctoral programs at the CDSE and CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Elective Courses
Course from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Friday (weekly) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Thursday (weekly) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Secondary
analysis enables researchers to explore existing research data from novel
perspectives. Students will learn to critically assess and reinterpret qualitative
and quantitative datasets, identifying opportunities for generating new
insights. By understanding different secondary analysis approaches, learners
will develop skills to extend theoretical understanding, validate prior
findings, and contribute innovative scholarly contributions across various
research domains.
Students analyse the need for secondary studies.
Students review secondary studies
Students develop a research design for a secondary study.
Students report the impact on theory and practice.
Students identify limitations of secondary studies.Presentation 50%; Written Essay 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Finance
Mandatory Courses
E 700 Mathematics for Economics
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
E 701 Advanced Microeconomics I (for Business)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | O 226–28 Seminarraum; Schloss Ostflügel |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | 009 Seminarraum; L 9, 1–2 |
| ⚠ Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | 009 Seminarraum; L 9, 1–2 |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 15:30 – 17:00 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
| ⚠ Wednesday (weekly) | 14.10.2026 – 02.12.2026 | 10:15 – 11:45 | EO 145 Hörsaal (Bürgerhörsaal); Schloss Ehrenhof Ost |
| Thursday (weekly) | 15.10.2026 – 03.12.2026 | 15:30 – 17:00 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 15.10.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 22.10.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Monday (single date) | 09.11.2026 | 09:30 – 11:30 | EO 150 AbsolventUM Hörsaal; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.12.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
The course is aimed at doctoral students in all fields of business administration. It provides an introduction to microeconomic theory on a graduate level, highlighting aspects which are of specific relevance for business research.
The main topics covered include:
- Theory of consumer choice under certainty and uncertainty
- Theory of the firm, production cost and supply
- Markets, equilibrium, welfare
- Strategic behavior under complete and incomplete information
- Incentives and asymmetric information
E 703 Advanced Econometrics I (for Business)
This course does not have limited capacity.
The course starts in October. The additional September sessions are
voluntary refreshers for those students who do not have to take E700
Mathematics for Economists
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
The course is designed to offer an advanced treatment to econometric theory and applications. Topics covered include: Matrix Algebra and Probability Theory, Ordinary Least Squares, Maximum Likelihood, Generalized Method of Moments, time series and panel data econometrics. Attendance in the lectures and exercise sessions are mandatory. Attempting exercise questions ahead of each session and taking active part during the course of the sessions is essential.
The course is also part of the TRR 266 Accounting for Transparency
FIN 801 Asset Pricing
| Wednesday (weekly) | 28.10.2026 – 18.11.2026 | 12:00 – 17:00 | 409 Besprechungsraum; L 9, 1–2 |
| Tuesday (single date) | 24.11.2026 | 12:00 – 17:00 | 409 Besprechungsraum; L 9, 1–2 |
| Tuesday (single date) | 08.12.2026 | 12:00 – 17:00 | 409 Besprechungsraum; L 9, 1–2 |
This course introduces the theoretical foundations of modern discrete-time asset pricing theory and the empirical methods used to test asset pricing models. The course contains a lecture component with exercise sessions and a colloquium where students present a term paper on a topic related to the contents of the course.
The course will cover key concepts from the theory of choice (also known as utility theory) and then move on to the theory of portfolio selection and models of capital market equilibrium (CAPM and APT). Particular emphasis will be put on the consumption-based approach to asset pricing. We introduce concepts such as the stochastic discount factor (or pricing kernel), contingent claims and risk-neutral valuation, and consider the beta representation framework and examples of factor pricing models.
In the empirical part students will be familiarized with the classical and modern approaches to test asset pricing models empirically. Based on these foundations we will then discuss the most recent empirical research on asset pricing.
| Tuesday (single date) | 01.12.2026 | 12:00 – 13:30 | 409 Besprechungsraum; L 9, 1–2 |
This course introduces the theoretical foundations of modern discrete-time asset pricing theory and the empirical methods used to test asset pricing models. The course contains a lecture component with exercise sessions and a colloquium where students present a term paper on a topic related to the contents of the course.
The course will cover key concepts from the theory of choice (also known as utility theory) and then move on to the theory of portfolio selection and models of capital market equilibrium (CAPM and APT). Particular emphasis will be put on the consumption-based approach to asset pricing. We introduce concepts such as the stochastic discount factor (or pricing kernel), contingent claims and risk-neutral valuation, and consider the beta representation framework and examples of factor pricing models.
In the empirical part students will be familiarized with the classical and modern approaches to test asset pricing models empirically. Based on these foundations we will then discuss the most recent empirical research on asset pricing.
FIN 910 Area Seminar
| ⚠ Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | 001 Hörsaal; L 9, 1–2 |
FIN 804 Econometrics of Financial Markets
| Monday (single date) | 07.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Tuesday (single date) | 08.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Monday (single date) | 14.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Tuesday (single date) | 15.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Wednesday (single date) | 30.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Thursday (single date) | 01.10.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
Academic Writing Course
| Thursday (single date) | 29.10.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (single date) | 19.11.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 11.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 25.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Saturday (single date) | 26.09.2026 | 09:00 – 13:00 | P 043 Seminarraum; L 7, 3–5 |
Focus Research Seminar
| Thursday (weekly) | 17.09.2026 – 26.11.2026 | 13:45 – 15:15 | 409 Besprechungsraum; L 9, 1–2 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 12:00 – 13:30 | 210 Seminarraum; L 9, 1–2 |
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
| Thursday (weekly) | 17.09.2026 – 03.12.2026 | 12:00 – 13:30 | ZOOM-Lehre-103; Virtuelles Gebäude |
For Master Students the course will be examined by an oral exam (50% presentation + 50% assignment) . Grading is 50% Oral Presentation + 50% Assignment.
For PhD students, this is a Pass/
- Give a paper presentation in building block 1.
- Participate in an IAT in building block 2.
- Give a conference presentation in building block 3.
- Participate in a negotiation in building block 4.
- Full and active participation in all four building blocks is necessary to pass the course.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Monday (block date) | 26.10.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 02.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 09.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 16.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
This course takes an interdisciplinary approach to examine the gender gap in leadership positions.
We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment.
The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.
The course consists of four core building blocks:
1. Women in Leadership: The Economic Perspective.
This part of the course focusses on (economic) reasons for gender gaps in leadership positions. We start by looking at the status quo of women in leadership. Course participants are introduced to statistics on the fraction of women in various leadership positions (with an emphasis on women in academia). We will discuss time trends and differences across countries. Research evidence on the effectiveness of gender equality measures such as gender quotas and family friendly policies will be discussed and their impact on economic outcome variables such as women’s labor market choices and the gender pay gap will be examined. We will also examine gender differences in risk preferences and in the willingness to compete. The last part of this section deals with role model effects and students will be asked to prepare a short presentation on a female role model.
2. Women in Leadership: The Psychological Perspective.
The psychological perspective addresses gender stereotypes as one of the key barriers to female advancement into attractive organizational positions such as leadership positions. Gender stereotypes reflect widely shared expectations about the characteristics of men and women (descriptive component of gender stereotypes), but they can also prescribe how women and men should or should not behave (prescriptive stereotypes). Both kinds of stereotypical expectations about men and women can impact the way men and women define themselves and are perceived by others. Three sessions dealing with leadership and gender stereotypes will discuss stereotype contents, the changes over time and their impact on gender differences in leadership aspirations and success. In this context, we will address topics such as the “Think Manager – Think Male” – phenomenon, research on the Glass metaphors (glass ceiling, glass escalator, glass cliff), Queen Bee effects, backlash effects, as well as failure-as-an-asset effects. Students will be asked to discuss practical implications of the research presented and develop own ideas regarding interventions to increase the number of female leaders.
3. “Raise Your Voice” – Rhetoric Training
The third block consists of a hands-on training on delivering presentations in an academic context. Students will be instructed to present their research findings in a conference-like scenario. They will learn how to present their work in a convincing and professional manner and how to adequately respond to (critical) questions. Each student will have to give a short presentation and will receive individual feedback by the instructor on how to improve their presentation skills.
For successful training, students are asked to prepare the following items before the beginning of this block:
- Prepare a short presentation (5–7 minutes) on the following question: “What excites me about my research topic?”
- Bring a video-capable device (mobile phone or tablet) for the video exercises.
4. “Raise Your Pay” – Negotiation Training
The final part of this course teaches students negotiation skills. Students learn how to carry their point in a negotiation, how to deal with conflicts, and how to react to verbal attacks. Students will have to participate in a negotiation game and receive individual feedback by the instructor to improve their negotiation skills.
Training concept:
- Develop strategic negotiation skills for career advancement
- Apply theoretical insights through practical exercises
- Improve decision-making and conflict resolution capabilities
- Build a toolkit of negotiation tactics for salary, promotion, and career opportunities
As a prerequisite for participating in this training, students are expected to submit one personal negotiation topic in advance that they would like to address and develop during the course.
Bridge Course from the course offer of the CDSB (Accounting)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
Bridge Course from the course offer of the CDSB (Management)
| Thursday (single date) | 17.09.2026 | 10:15 – 12:15 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (single date) | 06.10.2026 | 13:45 – 14:45 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 19.11.2026 | 10:00 – 17:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
Bridge Course from the course offer of the CDSB (Operations Management)
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Friday (weekly) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Thursday (weekly) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Bridge Course from the course offer of the CDSS (Political Science)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Bridge Course from the course offer of the CDSS (Psychology)
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
Bridge Course from the course offer of the CDSS (Sociology)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Elective Courses
Courses from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
Secondary
analysis enables researchers to explore existing research data from novel
perspectives. Students will learn to critically assess and reinterpret qualitative
and quantitative datasets, identifying opportunities for generating new
insights. By understanding different secondary analysis approaches, learners
will develop skills to extend theoretical understanding, validate prior
findings, and contribute innovative scholarly contributions across various
research domains.
Students analyse the need for secondary studies.
Students review secondary studies
Students develop a research design for a secondary study.
Students report the impact on theory and practice.
Students identify limitations of secondary studies.Presentation 50%; Written Essay 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Information Systems
Mandatory Courses
IS 801 Design Science Research
| Thursday (single date) | 17.09.2026 | 17:15 – 18:45 | 714–715 Seminarraum; L 15, 1–6 (Hochhaus) |
IS/ OPM 910 Area Seminar
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | O 142 Engelhorn Hörsaal; Schloss Ostflügel |
IS 807 Designing Qualitative Research Projects
| Thursday (single date) | 10.09.2026 | 17:15 – 18:45 | 714–715 Seminarraum; L 15, 1–6 (Hochhaus) |
Academic Writing Course
| Thursday (single date) | 29.10.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (single date) | 19.11.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 11.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 25.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Saturday (single date) | 26.09.2026 | 09:00 – 13:00 | P 043 Seminarraum; L 7, 3–5 |
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
| Thursday (weekly) | 17.09.2026 – 03.12.2026 | 12:00 – 13:30 | ZOOM-Lehre-103; Virtuelles Gebäude |
For Master Students the course will be examined by an oral exam (50% presentation + 50% assignment) . Grading is 50% Oral Presentation + 50% Assignment.
For PhD students, this is a Pass/
- Give a paper presentation in building block 1.
- Participate in an IAT in building block 2.
- Give a conference presentation in building block 3.
- Participate in a negotiation in building block 4.
- Full and active participation in all four building blocks is necessary to pass the course.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Monday (block date) | 26.10.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 02.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 09.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 16.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
This course takes an interdisciplinary approach to examine the gender gap in leadership positions.
We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment.
The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.
The course consists of four core building blocks:
1. Women in Leadership: The Economic Perspective.
This part of the course focusses on (economic) reasons for gender gaps in leadership positions. We start by looking at the status quo of women in leadership. Course participants are introduced to statistics on the fraction of women in various leadership positions (with an emphasis on women in academia). We will discuss time trends and differences across countries. Research evidence on the effectiveness of gender equality measures such as gender quotas and family friendly policies will be discussed and their impact on economic outcome variables such as women’s labor market choices and the gender pay gap will be examined. We will also examine gender differences in risk preferences and in the willingness to compete. The last part of this section deals with role model effects and students will be asked to prepare a short presentation on a female role model.
2. Women in Leadership: The Psychological Perspective.
The psychological perspective addresses gender stereotypes as one of the key barriers to female advancement into attractive organizational positions such as leadership positions. Gender stereotypes reflect widely shared expectations about the characteristics of men and women (descriptive component of gender stereotypes), but they can also prescribe how women and men should or should not behave (prescriptive stereotypes). Both kinds of stereotypical expectations about men and women can impact the way men and women define themselves and are perceived by others. Three sessions dealing with leadership and gender stereotypes will discuss stereotype contents, the changes over time and their impact on gender differences in leadership aspirations and success. In this context, we will address topics such as the “Think Manager – Think Male” – phenomenon, research on the Glass metaphors (glass ceiling, glass escalator, glass cliff), Queen Bee effects, backlash effects, as well as failure-as-an-asset effects. Students will be asked to discuss practical implications of the research presented and develop own ideas regarding interventions to increase the number of female leaders.
3. “Raise Your Voice” – Rhetoric Training
The third block consists of a hands-on training on delivering presentations in an academic context. Students will be instructed to present their research findings in a conference-like scenario. They will learn how to present their work in a convincing and professional manner and how to adequately respond to (critical) questions. Each student will have to give a short presentation and will receive individual feedback by the instructor on how to improve their presentation skills.
For successful training, students are asked to prepare the following items before the beginning of this block:
- Prepare a short presentation (5–7 minutes) on the following question: “What excites me about my research topic?”
- Bring a video-capable device (mobile phone or tablet) for the video exercises.
4. “Raise Your Pay” – Negotiation Training
The final part of this course teaches students negotiation skills. Students learn how to carry their point in a negotiation, how to deal with conflicts, and how to react to verbal attacks. Students will have to participate in a negotiation game and receive individual feedback by the instructor to improve their negotiation skills.
Training concept:
- Develop strategic negotiation skills for career advancement
- Apply theoretical insights through practical exercises
- Improve decision-making and conflict resolution capabilities
- Build a toolkit of negotiation tactics for salary, promotion, and career opportunities
As a prerequisite for participating in this training, students are expected to submit one personal negotiation topic in advance that they would like to address and develop during the course.
Bridge Course from the course offer of the CDSB (Accounting)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
Bridge Course from the course offer of the CDSB (Management)
| Thursday (single date) | 17.09.2026 | 10:15 – 12:15 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (single date) | 06.10.2026 | 13:45 – 14:45 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 19.11.2026 | 10:00 – 17:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
Bridge Course from the course offer of the CDSB (Operations Management)
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Friday (weekly) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Thursday (weekly) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Bridge Course from the course offer of the CDSS (Political Science)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Bridge Course from the course offer of the CDSS (Psychology)
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
Bridge Course from the course offer of the CDSS (Sociology)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Elective Courses
Courses from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
Secondary
analysis enables researchers to explore existing research data from novel
perspectives. Students will learn to critically assess and reinterpret qualitative
and quantitative datasets, identifying opportunities for generating new
insights. By understanding different secondary analysis approaches, learners
will develop skills to extend theoretical understanding, validate prior
findings, and contribute innovative scholarly contributions across various
research domains.
Students analyse the need for secondary studies.
Students review secondary studies
Students develop a research design for a secondary study.
Students report the impact on theory and practice.
Students identify limitations of secondary studies.Presentation 50%; Written Essay 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Management
Mandatory Courses
MAN 802 Fundamentals of Non-Profit Management Science
| Thursday (single date) | 17.09.2026 | 10:15 – 12:15 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (single date) | 06.10.2026 | 13:45 – 14:45 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 19.11.2026 | 10:00 – 17:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
MAN 805 Applied Methods in Management Research
| Friday (weekly) | 06.11.2026 – 20.11.2026 | 09:00 – 17:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
MAN 806 Advanced in Organization and Innovation Research
Academic Writing Course
| Thursday (single date) | 29.10.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (single date) | 19.11.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 11.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 25.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Saturday (single date) | 26.09.2026 | 09:00 – 13:00 | P 043 Seminarraum; L 7, 3–5 |
MAN 910 Area Seminar
| Wednesday (fortnightly) | 09.09.2026 – 02.12.2026 | 14:00 – 15:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Wednesday (single date) | 09.09.2026 | 14:00 – 15:00 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
MAN 807 Experimental Research in Management
| Monday (single date) | 12.10.2026 | 10:00 – 14:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Monday (single date) | 23.11.2026 | 10:00 – 17:00 | 001 Hörsaal; L 9, 1–2 |
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
| Thursday (weekly) | 17.09.2026 – 03.12.2026 | 12:00 – 13:30 | ZOOM-Lehre-103; Virtuelles Gebäude |
For Master Students the course will be examined by an oral exam (50% presentation + 50% assignment) . Grading is 50% Oral Presentation + 50% Assignment.
For PhD students, this is a Pass/
- Give a paper presentation in building block 1.
- Participate in an IAT in building block 2.
- Give a conference presentation in building block 3.
- Participate in a negotiation in building block 4.
- Full and active participation in all four building blocks is necessary to pass the course.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Monday (block date) | 26.10.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 02.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 09.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 16.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
This course takes an interdisciplinary approach to examine the gender gap in leadership positions.
We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment.
The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.
The course consists of four core building blocks:
1. Women in Leadership: The Economic Perspective.
This part of the course focusses on (economic) reasons for gender gaps in leadership positions. We start by looking at the status quo of women in leadership. Course participants are introduced to statistics on the fraction of women in various leadership positions (with an emphasis on women in academia). We will discuss time trends and differences across countries. Research evidence on the effectiveness of gender equality measures such as gender quotas and family friendly policies will be discussed and their impact on economic outcome variables such as women’s labor market choices and the gender pay gap will be examined. We will also examine gender differences in risk preferences and in the willingness to compete. The last part of this section deals with role model effects and students will be asked to prepare a short presentation on a female role model.
2. Women in Leadership: The Psychological Perspective.
The psychological perspective addresses gender stereotypes as one of the key barriers to female advancement into attractive organizational positions such as leadership positions. Gender stereotypes reflect widely shared expectations about the characteristics of men and women (descriptive component of gender stereotypes), but they can also prescribe how women and men should or should not behave (prescriptive stereotypes). Both kinds of stereotypical expectations about men and women can impact the way men and women define themselves and are perceived by others. Three sessions dealing with leadership and gender stereotypes will discuss stereotype contents, the changes over time and their impact on gender differences in leadership aspirations and success. In this context, we will address topics such as the “Think Manager – Think Male” – phenomenon, research on the Glass metaphors (glass ceiling, glass escalator, glass cliff), Queen Bee effects, backlash effects, as well as failure-as-an-asset effects. Students will be asked to discuss practical implications of the research presented and develop own ideas regarding interventions to increase the number of female leaders.
3. “Raise Your Voice” – Rhetoric Training
The third block consists of a hands-on training on delivering presentations in an academic context. Students will be instructed to present their research findings in a conference-like scenario. They will learn how to present their work in a convincing and professional manner and how to adequately respond to (critical) questions. Each student will have to give a short presentation and will receive individual feedback by the instructor on how to improve their presentation skills.
For successful training, students are asked to prepare the following items before the beginning of this block:
- Prepare a short presentation (5–7 minutes) on the following question: “What excites me about my research topic?”
- Bring a video-capable device (mobile phone or tablet) for the video exercises.
4. “Raise Your Pay” – Negotiation Training
The final part of this course teaches students negotiation skills. Students learn how to carry their point in a negotiation, how to deal with conflicts, and how to react to verbal attacks. Students will have to participate in a negotiation game and receive individual feedback by the instructor to improve their negotiation skills.
Training concept:
- Develop strategic negotiation skills for career advancement
- Apply theoretical insights through practical exercises
- Improve decision-making and conflict resolution capabilities
- Build a toolkit of negotiation tactics for salary, promotion, and career opportunities
As a prerequisite for participating in this training, students are expected to submit one personal negotiation topic in advance that they would like to address and develop during the course.
Bridge Course from the course offer of the CDSB (Accounting)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
Bridge Course from the course offer of the CDSB (Operations Management)
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Friday (weekly) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Thursday (weekly) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Bridge Course from the course offer of the CDSS (Political Science)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Bridge Course from the course offer of the CDSS (Psychology)
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
Bridge Course from the course offer of the CDSS (Sociology)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Elective Courses
Courses from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
Secondary
analysis enables researchers to explore existing research data from novel
perspectives. Students will learn to critically assess and reinterpret qualitative
and quantitative datasets, identifying opportunities for generating new
insights. By understanding different secondary analysis approaches, learners
will develop skills to extend theoretical understanding, validate prior
findings, and contribute innovative scholarly contributions across various
research domains.
Students analyse the need for secondary studies.
Students review secondary studies
Students develop a research design for a secondary study.
Students report the impact on theory and practice.
Students identify limitations of secondary studies.Presentation 50%; Written Essay 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Marketing
Mandatory Courses
E 703 Advanced Econometrics I (for Business)
This course does not have limited capacity.
The course starts in October. The additional September sessions are
voluntary refreshers for those students who do not have to take E700
Mathematics for Economists
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
The course is designed to offer an advanced treatment to econometric theory and applications. Topics covered include: Matrix Algebra and Probability Theory, Ordinary Least Squares, Maximum Likelihood, Generalized Method of Moments, time series and panel data econometrics. Attendance in the lectures and exercise sessions are mandatory. Attempting exercise questions ahead of each session and taking active part during the course of the sessions is essential.
The course is also part of the TRR 266 Accounting for Transparency
MKT 801 Fundamentals of Marketing Research
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 13:45 – 15:15 | 107 Bibliothek/ |
MKT 903 Advanced Business Econometrics
MKT 910 Area Seminar
Academic Writing Course
| Thursday (single date) | 29.10.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (single date) | 19.11.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 11.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 25.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Saturday (single date) | 26.09.2026 | 09:00 – 13:00 | P 043 Seminarraum; L 7, 3–5 |
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
| Thursday (weekly) | 17.09.2026 – 03.12.2026 | 12:00 – 13:30 | ZOOM-Lehre-103; Virtuelles Gebäude |
For Master Students the course will be examined by an oral exam (50% presentation + 50% assignment) . Grading is 50% Oral Presentation + 50% Assignment.
For PhD students, this is a Pass/
- Give a paper presentation in building block 1.
- Participate in an IAT in building block 2.
- Give a conference presentation in building block 3.
- Participate in a negotiation in building block 4.
- Full and active participation in all four building blocks is necessary to pass the course.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Monday (block date) | 26.10.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 02.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 09.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 16.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
This course takes an interdisciplinary approach to examine the gender gap in leadership positions.
We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment.
The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.
The course consists of four core building blocks:
1. Women in Leadership: The Economic Perspective.
This part of the course focusses on (economic) reasons for gender gaps in leadership positions. We start by looking at the status quo of women in leadership. Course participants are introduced to statistics on the fraction of women in various leadership positions (with an emphasis on women in academia). We will discuss time trends and differences across countries. Research evidence on the effectiveness of gender equality measures such as gender quotas and family friendly policies will be discussed and their impact on economic outcome variables such as women’s labor market choices and the gender pay gap will be examined. We will also examine gender differences in risk preferences and in the willingness to compete. The last part of this section deals with role model effects and students will be asked to prepare a short presentation on a female role model.
2. Women in Leadership: The Psychological Perspective.
The psychological perspective addresses gender stereotypes as one of the key barriers to female advancement into attractive organizational positions such as leadership positions. Gender stereotypes reflect widely shared expectations about the characteristics of men and women (descriptive component of gender stereotypes), but they can also prescribe how women and men should or should not behave (prescriptive stereotypes). Both kinds of stereotypical expectations about men and women can impact the way men and women define themselves and are perceived by others. Three sessions dealing with leadership and gender stereotypes will discuss stereotype contents, the changes over time and their impact on gender differences in leadership aspirations and success. In this context, we will address topics such as the “Think Manager – Think Male” – phenomenon, research on the Glass metaphors (glass ceiling, glass escalator, glass cliff), Queen Bee effects, backlash effects, as well as failure-as-an-asset effects. Students will be asked to discuss practical implications of the research presented and develop own ideas regarding interventions to increase the number of female leaders.
3. “Raise Your Voice” – Rhetoric Training
The third block consists of a hands-on training on delivering presentations in an academic context. Students will be instructed to present their research findings in a conference-like scenario. They will learn how to present their work in a convincing and professional manner and how to adequately respond to (critical) questions. Each student will have to give a short presentation and will receive individual feedback by the instructor on how to improve their presentation skills.
For successful training, students are asked to prepare the following items before the beginning of this block:
- Prepare a short presentation (5–7 minutes) on the following question: “What excites me about my research topic?”
- Bring a video-capable device (mobile phone or tablet) for the video exercises.
4. “Raise Your Pay” – Negotiation Training
The final part of this course teaches students negotiation skills. Students learn how to carry their point in a negotiation, how to deal with conflicts, and how to react to verbal attacks. Students will have to participate in a negotiation game and receive individual feedback by the instructor to improve their negotiation skills.
Training concept:
- Develop strategic negotiation skills for career advancement
- Apply theoretical insights through practical exercises
- Improve decision-making and conflict resolution capabilities
- Build a toolkit of negotiation tactics for salary, promotion, and career opportunities
As a prerequisite for participating in this training, students are expected to submit one personal negotiation topic in advance that they would like to address and develop during the course.
Bridge Course from the course offer of the CDSB (Accounting)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
Bridge Course from the course offer of the CDSB (Management)
| Thursday (single date) | 17.09.2026 | 10:15 – 12:15 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (single date) | 06.10.2026 | 13:45 – 14:45 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 19.11.2026 | 10:00 – 17:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
Bridge Course from the course offer of the CDSB (Operations Management)
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Friday (weekly) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Thursday (weekly) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Bridge Course from the course offer of the CDSS (Political Science)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Bridge Course from the course offer of the CDSS (Psychology)
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
Bridge Course from the course offer of the CDSS (Sociology)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Elective Courses
Course from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSB
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Operations Management
Mandatory Courses
E 700 Mathematics for Economics
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
IS/ OPM 910 Area Seminar
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | O 142 Engelhorn Hörsaal; Schloss Ostflügel |
OPM 901 Research Seminar Operations Management & Operations Research
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Academic Writing Course
| Thursday (single date) | 29.10.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (single date) | 19.11.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 11.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 25.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Saturday (single date) | 26.09.2026 | 09:00 – 13:00 | P 043 Seminarraum; L 7, 3–5 |
Mandatory Elective Courses
OPM 801 Optimization and Heuristics
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
OPM 803 Selected Topics in Nonlinear Optimization
| Friday (weekly) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
E 701 Advanced Microeconomics I (for Business)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | O 226–28 Seminarraum; Schloss Ostflügel |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | 009 Seminarraum; L 9, 1–2 |
| ⚠ Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | 009 Seminarraum; L 9, 1–2 |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 15:30 – 17:00 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
| ⚠ Wednesday (weekly) | 14.10.2026 – 02.12.2026 | 10:15 – 11:45 | EO 145 Hörsaal (Bürgerhörsaal); Schloss Ehrenhof Ost |
| Thursday (weekly) | 15.10.2026 – 03.12.2026 | 15:30 – 17:00 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 15.10.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 22.10.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Monday (single date) | 09.11.2026 | 09:30 – 11:30 | EO 150 AbsolventUM Hörsaal; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.12.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
The course is aimed at doctoral students in all fields of business administration. It provides an introduction to microeconomic theory on a graduate level, highlighting aspects which are of specific relevance for business research.
The main topics covered include:
- Theory of consumer choice under certainty and uncertainty
- Theory of the firm, production cost and supply
- Markets, equilibrium, welfare
- Strategic behavior under complete and incomplete information
- Incentives and asymmetric information
E 703 Advanced Econometrics I (for Business)
This course does not have limited capacity.
The course starts in October. The additional September sessions are
voluntary refreshers for those students who do not have to take E700
Mathematics for Economists
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
The course is designed to offer an advanced treatment to econometric theory and applications. Topics covered include: Matrix Algebra and Probability Theory, Ordinary Least Squares, Maximum Likelihood, Generalized Method of Moments, time series and panel data econometrics. Attendance in the lectures and exercise sessions are mandatory. Attempting exercise questions ahead of each session and taking active part during the course of the sessions is essential.
The course is also part of the TRR 266 Accounting for Transparency
OPM 806 Empirical Research in Operations Management
Bridge Course
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 17.09.2026 – 03.12.2026 | 12:00 – 13:30 | ZOOM-Lehre-103; Virtuelles Gebäude |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Thursday (single date) | 17.09.2026 | 10:15 – 12:15 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (single date) | 06.10.2026 | 13:45 – 14:45 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 19.11.2026 | 10:00 – 17:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
For Master Students the course will be examined by an oral exam (50% presentation + 50% assignment) . Grading is 50% Oral Presentation + 50% Assignment.
For PhD students, this is a Pass/
- Give a paper presentation in building block 1.
- Participate in an IAT in building block 2.
- Give a conference presentation in building block 3.
- Participate in a negotiation in building block 4.
- Full and active participation in all four building blocks is necessary to pass the course.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Monday (block date) | 26.10.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 02.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 09.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 16.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
This course takes an interdisciplinary approach to examine the gender gap in leadership positions.
We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment.
The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.
The course consists of four core building blocks:
1. Women in Leadership: The Economic Perspective.
This part of the course focusses on (economic) reasons for gender gaps in leadership positions. We start by looking at the status quo of women in leadership. Course participants are introduced to statistics on the fraction of women in various leadership positions (with an emphasis on women in academia). We will discuss time trends and differences across countries. Research evidence on the effectiveness of gender equality measures such as gender quotas and family friendly policies will be discussed and their impact on economic outcome variables such as women’s labor market choices and the gender pay gap will be examined. We will also examine gender differences in risk preferences and in the willingness to compete. The last part of this section deals with role model effects and students will be asked to prepare a short presentation on a female role model.
2. Women in Leadership: The Psychological Perspective.
The psychological perspective addresses gender stereotypes as one of the key barriers to female advancement into attractive organizational positions such as leadership positions. Gender stereotypes reflect widely shared expectations about the characteristics of men and women (descriptive component of gender stereotypes), but they can also prescribe how women and men should or should not behave (prescriptive stereotypes). Both kinds of stereotypical expectations about men and women can impact the way men and women define themselves and are perceived by others. Three sessions dealing with leadership and gender stereotypes will discuss stereotype contents, the changes over time and their impact on gender differences in leadership aspirations and success. In this context, we will address topics such as the “Think Manager – Think Male” – phenomenon, research on the Glass metaphors (glass ceiling, glass escalator, glass cliff), Queen Bee effects, backlash effects, as well as failure-as-an-asset effects. Students will be asked to discuss practical implications of the research presented and develop own ideas regarding interventions to increase the number of female leaders.
3. “Raise Your Voice” – Rhetoric Training
The third block consists of a hands-on training on delivering presentations in an academic context. Students will be instructed to present their research findings in a conference-like scenario. They will learn how to present their work in a convincing and professional manner and how to adequately respond to (critical) questions. Each student will have to give a short presentation and will receive individual feedback by the instructor on how to improve their presentation skills.
For successful training, students are asked to prepare the following items before the beginning of this block:
- Prepare a short presentation (5–7 minutes) on the following question: “What excites me about my research topic?”
- Bring a video-capable device (mobile phone or tablet) for the video exercises.
4. “Raise Your Pay” – Negotiation Training
The final part of this course teaches students negotiation skills. Students learn how to carry their point in a negotiation, how to deal with conflicts, and how to react to verbal attacks. Students will have to participate in a negotiation game and receive individual feedback by the instructor to improve their negotiation skills.
Training concept:
- Develop strategic negotiation skills for career advancement
- Apply theoretical insights through practical exercises
- Improve decision-making and conflict resolution capabilities
- Build a toolkit of negotiation tactics for salary, promotion, and career opportunities
As a prerequisite for participating in this training, students are expected to submit one personal negotiation topic in advance that they would like to address and develop during the course.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Elective Courses
Courses from the doctoral programs at the CDSB, CDSE and CDSS or from M. Sc. in Business Informatics
Course from the doctoral programs at the CDSB
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
| Thursday (weekly) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Secondary
analysis enables researchers to explore existing research data from novel
perspectives. Students will learn to critically assess and reinterpret qualitative
and quantitative datasets, identifying opportunities for generating new
insights. By understanding different secondary analysis approaches, learners
will develop skills to extend theoretical understanding, validate prior
findings, and contribute innovative scholarly contributions across various
research domains.
Students analyse the need for secondary studies.
Students review secondary studies
Students develop a research design for a secondary study.
Students report the impact on theory and practice.
Students identify limitations of secondary studies.Presentation 50%; Written Essay 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Taxation
Mandatory Courses
E 700 Mathematics for Economics
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 13:45 – 15:15 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 13:45 – 15:15 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 15:30 – 17:00 | 211 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 15:30 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Monday (weekly) | 07.09.2026 – 28.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 29.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 30.09.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 01.10.2026 | 10:15 – 11:45 | 001 Hörsaal; L 7, 3–5 |
E 701 Advanced Microeconomics I (for Business)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | O 226–28 Seminarraum; Schloss Ostflügel |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | 009 Seminarraum; L 9, 1–2 |
| ⚠ Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | 009 Seminarraum; L 9, 1–2 |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 15:30 – 17:00 | EO 159 Seminarraum; Schloss Ehrenhof Ost |
| ⚠ Wednesday (weekly) | 14.10.2026 – 02.12.2026 | 10:15 – 11:45 | EO 145 Hörsaal (Bürgerhörsaal); Schloss Ehrenhof Ost |
| Thursday (weekly) | 15.10.2026 – 03.12.2026 | 15:30 – 17:00 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 15.10.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 22.10.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
| Monday (single date) | 09.11.2026 | 09:30 – 11:30 | EO 150 AbsolventUM Hörsaal; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.12.2026 | 17:15 – 18:45 | EO 242 Seminarraum; Schloss Ehrenhof Ost |
The course is aimed at doctoral students in all fields of business administration. It provides an introduction to microeconomic theory on a graduate level, highlighting aspects which are of specific relevance for business research.
The main topics covered include:
- Theory of consumer choice under certainty and uncertainty
- Theory of the firm, production cost and supply
- Markets, equilibrium, welfare
- Strategic behavior under complete and incomplete information
- Incentives and asymmetric information
E 703 Advanced Econometrics I (for Business)
This course does not have limited capacity.
The course starts in October. The additional September sessions are
voluntary refreshers for those students who do not have to take E700
Mathematics for Economists
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
The course is designed to offer an advanced treatment to econometric theory and applications. Topics covered include: Matrix Algebra and Probability Theory, Ordinary Least Squares, Maximum Likelihood, Generalized Method of Moments, time series and panel data econometrics. Attendance in the lectures and exercise sessions are mandatory. Attempting exercise questions ahead of each session and taking active part during the course of the sessions is essential.
The course is also part of the TRR 266 Accounting for Transparency
ACC/ TAX 916 Applied Econometrics I
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 08:30 – 10:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 08:30 – 10:00 | O 226–28 Seminarraum; Schloss Ostflügel |
The course gives an applied introduction to the methodology employed in the empirical research literature. The main topics include: Ordinary least squares, instrumental variables estimation, and panel data econometrics. Further topics may also be included according to demand by participants.
The covered material enables students to apply the econometric methods which are commonly used in economic research. Special attention is given to the interpretation of empirical results and understanding the potential caveats of different approaches.
ACC/ TAX 910 Area Seminar
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | O 226–28 Seminarraum; Schloss Ostflügel |
ACC/ TAX 920 Brown Bag Seminar
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (weekly) | 23.09.2026 – 30.09.2026 | 13:45 – 15:15 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
| Wednesday (weekly) | 23.09.2026 – 30.09.2026 | 13:45 – 15:15 | SO 133 Seminarraum; Schloss Schneckenhof Ost |
Academic Writing Course
| Thursday (single date) | 29.10.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Thursday (single date) | 19.11.2026 | 09:00 – 17:00 | 209 Seminarraum; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 11.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Friday (single date) | 25.09.2026 | 09:00 – 17:00 | P 043 Seminarraum; L 7, 3–5 |
| Saturday (single date) | 26.09.2026 | 09:00 – 13:00 | P 043 Seminarraum; L 7, 3–5 |
Mandatory Elective Courses
Bridge Course
Bridge Course – from the GESS course offer
| Thursday (weekly) | 17.09.2026 – 03.12.2026 | 12:00 – 13:30 | ZOOM-Lehre-103; Virtuelles Gebäude |
For Master Students the course will be examined by an oral exam (50% presentation + 50% assignment) . Grading is 50% Oral Presentation + 50% Assignment.
For PhD students, this is a Pass/
- Give a paper presentation in building block 1.
- Participate in an IAT in building block 2.
- Give a conference presentation in building block 3.
- Participate in a negotiation in building block 4.
- Full and active participation in all four building blocks is necessary to pass the course.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 129 Göhringer Hörsaal; Schloss Ostflügel |
| Monday (block date) | 26.10.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 02.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 09.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
| Monday (block date) | 16.11.2026 | 10:15 – 13:30 | 004 EduSpace; L 9, 1–2 |
This course takes an interdisciplinary approach to examine the gender gap in leadership positions.
We will analyze the psychological and economic reasons for the low fraction of women in leadership. While leadership positions are defined broadly and range from politics to public and private institutions, a special emphasis will be on the academic environment.
The course will highlight women’s educational and labor market choices, their fertility decisions, and their preferences. We will also examine structural hurdles for women to reach the top, for example stereotypes, discrimination, and social norms. Finally, the effectiveness of gender equality measures – such as quota systems – will be discussed. In addition to the theoretical and empirical fundamentals, the course also comprises two hands-on practical sessions taught by experienced instructors in which students’ rhetoric and negotiation skills are trained.
The course consists of four core building blocks:
1. Women in Leadership: The Economic Perspective.
This part of the course focusses on (economic) reasons for gender gaps in leadership positions. We start by looking at the status quo of women in leadership. Course participants are introduced to statistics on the fraction of women in various leadership positions (with an emphasis on women in academia). We will discuss time trends and differences across countries. Research evidence on the effectiveness of gender equality measures such as gender quotas and family friendly policies will be discussed and their impact on economic outcome variables such as women’s labor market choices and the gender pay gap will be examined. We will also examine gender differences in risk preferences and in the willingness to compete. The last part of this section deals with role model effects and students will be asked to prepare a short presentation on a female role model.
2. Women in Leadership: The Psychological Perspective.
The psychological perspective addresses gender stereotypes as one of the key barriers to female advancement into attractive organizational positions such as leadership positions. Gender stereotypes reflect widely shared expectations about the characteristics of men and women (descriptive component of gender stereotypes), but they can also prescribe how women and men should or should not behave (prescriptive stereotypes). Both kinds of stereotypical expectations about men and women can impact the way men and women define themselves and are perceived by others. Three sessions dealing with leadership and gender stereotypes will discuss stereotype contents, the changes over time and their impact on gender differences in leadership aspirations and success. In this context, we will address topics such as the “Think Manager – Think Male” – phenomenon, research on the Glass metaphors (glass ceiling, glass escalator, glass cliff), Queen Bee effects, backlash effects, as well as failure-as-an-asset effects. Students will be asked to discuss practical implications of the research presented and develop own ideas regarding interventions to increase the number of female leaders.
3. “Raise Your Voice” – Rhetoric Training
The third block consists of a hands-on training on delivering presentations in an academic context. Students will be instructed to present their research findings in a conference-like scenario. They will learn how to present their work in a convincing and professional manner and how to adequately respond to (critical) questions. Each student will have to give a short presentation and will receive individual feedback by the instructor on how to improve their presentation skills.
For successful training, students are asked to prepare the following items before the beginning of this block:
- Prepare a short presentation (5–7 minutes) on the following question: “What excites me about my research topic?”
- Bring a video-capable device (mobile phone or tablet) for the video exercises.
4. “Raise Your Pay” – Negotiation Training
The final part of this course teaches students negotiation skills. Students learn how to carry their point in a negotiation, how to deal with conflicts, and how to react to verbal attacks. Students will have to participate in a negotiation game and receive individual feedback by the instructor to improve their negotiation skills.
Training concept:
- Develop strategic negotiation skills for career advancement
- Apply theoretical insights through practical exercises
- Improve decision-making and conflict resolution capabilities
- Build a toolkit of negotiation tactics for salary, promotion, and career opportunities
As a prerequisite for participating in this training, students are expected to submit one personal negotiation topic in advance that they would like to address and develop during the course.
Bridge Course from the course offer of the CDSB (Accounting)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 15:30 – 17:00 | O 226–28 Seminarraum; Schloss Ostflügel |
Bridge Course from the course offer of the CDSB (Management)
| Thursday (single date) | 17.09.2026 | 10:15 – 12:15 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Tuesday (single date) | 06.10.2026 | 13:45 – 14:45 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 19.11.2026 | 10:00 – 17:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
Bridge Course from the course offer of the CDSB (Operations Management)
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 15:30 – 18:45 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Friday (weekly) | 09.10.2026 – 11.12.2026 | 12:00 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Thursday (weekly) | 10.09.2026 – 28.01.2027 | 10:15 – 13:30 | SO 318 Seminarraum; Schloss Schneckenhof Ost |
Bridge Course from the course offer of the CDSS (Political Science)
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Bridge Course from the course offer of the CDSS (Psychology)
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
Bridge Course from the course offer of the CDSS (Sociology)
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
Course from the doctoral programs at the CDSE and CDSS
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Elective Courses
European Tax Law
European Union Law has an increasing impact on the taxation of private individuals as well as of companies doing business in Europe. While the European Union has no original tax authority its law has a major influence on national tax laws.
The course will start with an introduction into European Union Tax Law, the aims and measures so far taken by European institutions. After that the course will cover the positive harmonization of indirect taxes mainly by European directives. In a third part the course will focus on secondary law harmonizing direct taxes in Europe, e.g. the Parent-Subsidiary Directive. In a last section the course deals with the importance of the fundamental freedoms for the taxation in Europe. A special focus will be put on the case law of the European Court of Justice.
- Basic principles of European Law
- Harmonization of indirect and direct taxes by primary and secondary law
- Fundamental freedoms referring to taxation in Europe
- Important case law
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | EO 169 Seminarraum; Schloss Ehrenhof Ost |
FIN 801 Asset Pricing
| Wednesday (weekly) | 28.10.2026 – 18.11.2026 | 12:00 – 17:00 | 409 Besprechungsraum; L 9, 1–2 |
| Tuesday (single date) | 24.11.2026 | 12:00 – 17:00 | 409 Besprechungsraum; L 9, 1–2 |
| Tuesday (single date) | 08.12.2026 | 12:00 – 17:00 | 409 Besprechungsraum; L 9, 1–2 |
This course introduces the theoretical foundations of modern discrete-time asset pricing theory and the empirical methods used to test asset pricing models. The course contains a lecture component with exercise sessions and a colloquium where students present a term paper on a topic related to the contents of the course.
The course will cover key concepts from the theory of choice (also known as utility theory) and then move on to the theory of portfolio selection and models of capital market equilibrium (CAPM and APT). Particular emphasis will be put on the consumption-based approach to asset pricing. We introduce concepts such as the stochastic discount factor (or pricing kernel), contingent claims and risk-neutral valuation, and consider the beta representation framework and examples of factor pricing models.
In the empirical part students will be familiarized with the classical and modern approaches to test asset pricing models empirically. Based on these foundations we will then discuss the most recent empirical research on asset pricing.
| Tuesday (single date) | 01.12.2026 | 12:00 – 13:30 | 409 Besprechungsraum; L 9, 1–2 |
This course introduces the theoretical foundations of modern discrete-time asset pricing theory and the empirical methods used to test asset pricing models. The course contains a lecture component with exercise sessions and a colloquium where students present a term paper on a topic related to the contents of the course.
The course will cover key concepts from the theory of choice (also known as utility theory) and then move on to the theory of portfolio selection and models of capital market equilibrium (CAPM and APT). Particular emphasis will be put on the consumption-based approach to asset pricing. We introduce concepts such as the stochastic discount factor (or pricing kernel), contingent claims and risk-neutral valuation, and consider the beta representation framework and examples of factor pricing models.
In the empirical part students will be familiarized with the classical and modern approaches to test asset pricing models empirically. Based on these foundations we will then discuss the most recent empirical research on asset pricing.
MKT 903 Advanced Business Econometrics
FIN 804 Econometrics of Financial Markets
| Monday (single date) | 07.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Tuesday (single date) | 08.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Monday (single date) | 14.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Tuesday (single date) | 15.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Wednesday (single date) | 30.09.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
| Thursday (single date) | 01.10.2026 | 08:30 – 11:45 | 409 Besprechungsraum; L 9, 1–2 |
Courses from the doctoral programs at the CDSB, CDSE and CDSS
Course from the doctoral programs at the CDSE
| Thursday (single date) | 10.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (single date) | 17.09.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 04.11.2026 – 09.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 10:15 – 11:45 | P 044 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 05.11.2026 – 10.12.2026 | 12:00 – 13:30 | P 044 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 08:30 – 10:00 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 16.11.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 17:15 – 18:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Monday (single date) | 03.08.2026 | 10:15 – 11:45 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 03.08.2026 | 13:00 – 14:00 | ZOOM-Lehre-039; Virtuelles Gebäude |
| Monday (single date) | 31.08.2026 | 15:00 – 17:00 | O 048 Seminarraum; Schloss Ostflügel |
| Tuesday (single date) | 01.09.2026 | 08:30 – 16:30 | O 048 Seminarraum; Schloss Ostflügel |
| Wednesday (single date) | 02.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (single date) | 03.09.2026 | 08:30 – 16:30 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Friday (single date) | 04.09.2026 | 08:30 – 12:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | P 043 Seminarraum; L 7, 3–5 |
| Monday (fortnightly) | 07.09.2026 – 30.11.2026 | 13:45 – 15:15 | O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | P 043 Seminarraum; L 7, 3–5 |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | 410 Besprechungsraum; L 7, 3–5 |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | P 043 Seminarraum; L 7, 3–5 |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 10:15 – 11:45 | 002 Seminarraum; L 9, 1–2 |
Course from the doctoral programs at the CDSB
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 17:15 – 18:45 | O 133 KPMG Hörsaal; Schloss Ostflügel |
| Monday (single date) | 12.10.2026 | 10:00 – 14:00 | EO 256 Seminarraum; Schloss Ehrenhof Ost |
| Monday (single date) | 23.11.2026 | 10:00 – 17:00 | 001 Hörsaal; L 9, 1–2 |
Secondary
analysis enables researchers to explore existing research data from novel
perspectives. Students will learn to critically assess and reinterpret qualitative
and quantitative datasets, identifying opportunities for generating new
insights. By understanding different secondary analysis approaches, learners
will develop skills to extend theoretical understanding, validate prior
findings, and contribute innovative scholarly contributions across various
research domains.
Students analyse the need for secondary studies.
Students review secondary studies
Students develop a research design for a secondary study.
Students report the impact on theory and practice.
Students identify limitations of secondary studies.Presentation 50%; Written Essay 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | SO 322 Seminarraum; Schloss Schneckenhof Ost |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | O 048 Seminarraum; Schloss Ostflügel |
Course from the doctoral programs at the CDSS
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 15:30 – 17:00 | B 317 Seminarraum; A 5, 6 Bauteil B |
The course may also count as an Advanced Topics Seminar in International Relations. In this case, please indicate this accordingly to the Student Services via email when you register for the exam during exam registration period.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 12:00 – 13:30 | B 318 Seminarraum; A 5, 6 Bauteil B |
Presentation: 20%
Research Paper (15 pages): 50%
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 216 Seminarraum; A 5, 6 Bauteil C |
By the end of the course, students will be able to:
- Understand key theories of elections, coalition formation, coalition governance, coalition termination.
- Analyze the role of political institutions and parties in the coalition life cycle.
- Compare coalition dynamics across different political systems.
- Assess factors influencing coalition stability and duration.
- Conduct empirical research on coalition governance and policy outcomes.
- König, T., Lu, X., and Silva, T. 2025. Learning to Govern Together in Representative Democracy. The Dynamics of Cooperation and Competition in Coalition Governance. Oxford: Oxford University Press.
- Laver, M., & Schofield, N. 1998. Multiparty Government: The Politics of Coalition in Europe.
- Martin, L, Vanberg, G. 2011. Parliaments and Coalitions: The Role of Legislative Institutions in Multiparty Governance. Oxford: Oxford University Press.
- Strøm, K., Müller, W. C., and Bergman, T. 2008. Cabinets and Coalition Bargaining: The Democratic Life Cycle in Western Europe.
- Additional journal articles and case studies will be provided.
Presentation: 20%
Research Paper (15 pages): 50%
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 17:15 – 18:45 | C 217 EduSpace; A 5, 6 Bauteil C |
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
- Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge.
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
- Kline, R. B. (2023). Principles and practice of structural equation modeling. New York: Guilford.
- Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage.
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
| Friday (single date) | 11.09.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 16.10.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 20.11.2026 | 09:00 – 12:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
This course gives an introduction to the basic elements of linear algebra and mathematical calculus that are relevant for statistical modeling and hypothesis testing in psychological research and in related areas of the social sciences. We will go through essential concepts and operations of matrix and vector algebra, differential equations and integral calculus, and we will discuss implications for parameter estimation and measures of statistical uncertainty in multivariate models. Beyond these formal foundations, an advanced overview of applied statistical models will be provided, including linear and generalized linear models, machine learning-based regularization procedures, structural equation models, and multilevel analysis with a particular focus on modeling longitudinal data. The statistical models and procedures will be illustrated with simulated and empirical data. In addition, model specification, parameter estimation and hypothesis testing will be demonstrated and practiced in R. The combination of mathematical foundations and applied statistical analysis enhances the understanding of key concepts of statistical modeling, and it enables students and young researchers to tailor statistical models and tests according to their specific research questions.
| Friday (single date) | 18.09.2026 | 10:15 – 11:45 | ZOOM-Lehre-069; Virtuelles Gebäude |
| Friday (single date) | 02.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 09.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 10.10.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 30.10.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Friday (single date) | 13.11.2026 | 10:15 – 13:30 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
| Saturday (single date) | 14.11.2026 | 10:15 – 15:15 | 108 CIP-Pool; B 6, 30–32 Bauteil E-F |
The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 13:45 – 15:15 | B 244 Hörsaal; A 5, 6 Bauteil B |
Tutorials: Classes will be accompanied by two tutorials to repeat and practice the topics from the lectures. We will use the statistical packages R and Stata.
Credits and Exam: Credits (6+3 ECTS points) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen) in the tutorial.
Requirements tutorial (Studienleistungen): Presentations of weekly exercises; you must hand in the slides of the presentation, the Stata or R syntax file and output of the respective exercise, and a short output interpretation.
Contact: Fon (0621) 181–2049 or mail gautschi@uni-mannheim.de
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 12:00 – 13:30 | B 143 Seminarraum; A 5, 6 Bauteil B |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | B 243 Hörsaal; A 5, 6 Bauteil B |
This lecture offers an introduction to current research topics in the field of International Political Economy (IPE). After introducing what it means to study IPE in the age of globalization, the course addresses four major themes of current IPE research.
1) In the first part on international trade, we will learn about the opportunities and challenges that come with the intensifying exchange of goods across the globe.
2) In the second part on international finance, we will focus on how global financial flows interact with political and economic stability, instability, and crises.
3) In the third part on international development, we will learn about global economic inequality and understand its links to development cooperation and migration.
4) In the fourth part on international institutions, we will focus on the role that international institutions and organizations play in the globalized economy.
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 13:45 – 15:15 | C 012 Seminarraum; A 5, 6 Bauteil C |
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 15:30 – 17:00 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | C 216 Seminarraum; A 5, 6 Bauteil C |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 10:15 – 11:45 | C 116 Seminarraum; A 5, 6 Bauteil C |
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 12:00 – 13:30 | A 102 Seminarraum; B 6, 23–25 Bauteil A |
- Two written essays (about 10 pages) on selected topics of organization science
- Short conference-style presentations of your written essays in class
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 10:15 – 11:45 | B 143 Seminarraum; A 5, 6 Bauteil B |
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? How do heterogeneous organizational teams arrive at successful decision-making under uncertainty? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
| Wednesday (weekly) | 09.09.2026 – 09.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 13:45 – 15:15 | B 317 Seminarraum; A 5, 6 Bauteil B |
| Thursday (weekly) | 10.09.2026 – 10.12.2026 | 08:30 – 10:00 | A 103 Seminarraum; B 6, 23–25 Bauteil A |
| Friday (weekly) | 11.09.2026 – 11.12.2026 | 10:15 – 11:45 | B 318 Seminarraum; A 5, 6 Bauteil B |
| Monday (weekly) | 07.09.2026 – 07.12.2026 | 10:15 – 11:45 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Monday (single date) | 07.09.2026 | 12:00 – 13:30 | B 244 Hörsaal; A 5, 6 Bauteil B |
| Tuesday (weekly) | 08.09.2026 – 08.12.2026 | 08:30 – 10:00 | B 243 Hörsaal; A 5, 6 Bauteil B |
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.
In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
