A doctoral student is holding a laptop and is pointing out a course on the screen where the schedule for different doctoral courses can be seen.

Economics

Introductory Modules

E700 Mathematics for Economists
E700 Mathematics for Economists – Exercise Group 1 (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Date(s):
Monday  (weekly) 07.09.2026 – 28.09.202613:45 – 15:15P 044 Seminarraum; L 7, 3–5
Tuesday  (weekly) 08.09.2026 – 29.09.202613:45 – 15:15P 044 Seminarraum; L 7, 3–5
Wednesday  (weekly) 09.09.2026 – 30.09.202613:45 – 15:15P 044 Seminarraum; L 7, 3–5
Thursday  (weekly) 10.09.2026 – 01.10.202613:45 – 15:15P 044 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E700 Mathematics for Economists – Exercise Group 2 (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Date(s):
Monday  (weekly) 07.09.2026 – 28.09.202613:45 – 15:15211 Seminarraum; B 6, 30–32 Bauteil E-F
Tuesday  (weekly) 08.09.2026 – 29.09.202613:45 – 15:15211 Seminarraum; B 6, 30–32 Bauteil E-F
Wednesday  (weekly) 09.09.2026 – 30.09.202613:45 – 15:15211 Seminarraum; B 6, 30–32 Bauteil E-F
Thursday  (weekly) 10.09.2026 – 01.10.202613:45 – 15:15209 Seminarraum; B 6, 30–32 Bauteil E-F
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E700 Mathematics for Economists – Exercise Group 3 (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Date(s):
Monday  (weekly) 07.09.2026 – 28.09.202615:30 – 17:00P 044 Seminarraum; L 7, 3–5
Tuesday  (weekly) 08.09.2026 – 29.09.202615:30 – 17:00P 044 Seminarraum; L 7, 3–5
Wednesday  (weekly) 09.09.2026 – 30.09.202615:30 – 17:00P 044 Seminarraum; L 7, 3–5
Thursday  (weekly) 10.09.2026 – 01.10.202615:30 – 17:00P 044 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E700 Mathematics for Economists – Exercise Group 4 (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Date(s):
Monday  (weekly) 07.09.2026 – 28.09.202615:30 – 17:00211 Seminarraum; B 6, 30–32 Bauteil E-F
Tuesday  (weekly) 08.09.2026 – 29.09.202615:30 – 17:00211 Seminarraum; B 6, 30–32 Bauteil E-F
Wednesday  (weekly) 09.09.2026 – 30.09.202615:30 – 17:00211 Seminarraum; B 6, 30–32 Bauteil E-F
Thursday  (weekly) 10.09.2026 – 01.10.202615:30 – 17:00209 Seminarraum; B 6, 30–32 Bauteil E-F
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E700 Mathematics for Economists – Lecture (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
On-campus and online, live
Instructor(s):
Dr. Ingo Steinke
Date(s):
Monday  (weekly) 07.09.2026 – 28.09.202610:15 – 11:45001 Hörsaal; L 7, 3–5
Tuesday  (weekly) 08.09.2026 – 29.09.202610:15 – 11:45001 Hörsaal; L 7, 3–5
Wednesday  (weekly) 09.09.2026 – 30.09.202610:15 – 11:45001 Hörsaal; L 7, 3–5
Thursday  (weekly) 10.09.2026 – 01.10.202610:15 – 11:45001 Hörsaal; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E701 Advanced Microeconomics I
E701 Advanced Microeconomics I – Exercise (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Attendance:
Instructor(s):
Prof. Ph. D. Nicolas Schutz
Date(s):
Wednesday  (weekly) 14.10.2026 – 09.12.202615:30 – 17:00P 044 Seminarraum; L 7, 3–5
Friday  (weekly) 16.10.2026 – 11.12.202610:15 – 11:45P 044 Seminarraum; L 7, 3–5
E701 Advanced Microeconomics I – Lecture (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Attendance:
Instructor(s):
Prof. Ph. D. Nicolas Schutz
Date(s):
Monday  (weekly) 12.10.2026 – 07.12.202610:15 – 11:45001 Hörsaal; L 7, 3–5
Wednesday  (weekly) 14.10.2026 – 09.12.202610:15 – 11:45001 Hörsaal; L 7, 3–5
E702 Advanced Macroeconomics I
E702 Advanced Macroeconomics I – Exercise (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Attendance:
Instructor(s):
Qinkun Yao
Date(s):
Monday  (weekly) 12.10.2026 – 07.12.202613:45 – 15:15P 044 Seminarraum; L 7, 3–5
Friday  (weekly) 16.10.2026 – 11.12.202613:45 – 15:15P 044 Seminarraum; L 7, 3–5
E702 Advanced Macroeconomics I – Lecture (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Attendance:
Instructor(s):
Edoardo Acabbi Ph.D.
Date(s):
Wednesday  (weekly) 14.10.2026 – 09.12.202608:30 – 10:00P 044 Seminarraum; L 7, 3–5
Thursday  (weekly) 15.10.2026 – 10.12.202608:30 – 10:00P 044 Seminarraum; L 7, 3–5
E703 Advanced Econometrics I
E703 Advanced Econometrics I – Exercise (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Registration procedure:
Lecturer: Giacomo Opocher
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
Tuesday  (weekly) 13.10.2026 – 08.12.202613:45 – 15:15003 Seminarraum; L 9, 1–2
Thursday  (weekly) 15.10.2026 – 10.12.202613:45 – 15:15003 Seminarraum; L 9, 1–2
E703 Advanced Econometrics I – Lecture (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
Tuesday  (weekly) 13.10.2026 – 08.12.202610:15 – 11:45001 Hörsaal; L 7, 3–5
Thursday  (weekly) 15.10.2026 – 10.12.202610:15 – 11:45001 Hörsaal; L 7, 3–5

Elective Courses

Elective courses from the course offer of the CDSS
Advanced Topics in Comparative Politics: Formal Models in CP (and some in IR) (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
Various chapters of Scott Gehlbach's Formal Models of Domestic Politics (CUP) and journal articles from different fields
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Thomas Bräuninger
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202615:30 – 17:00B 317 Seminarraum; A 5, 6 Bauteil B
Description:
This course is a continuation of the intro into Game Theory and surveys key applications of game theory with a particular emphasis on the link of theories, methods and empirics. Emphasis will be placed on prominent applications of those concepts in political science, in both comparative and international politics. Topics covered include electoral competition, delegation, political agency, governmental veto players, authoritarian politics, manipulation, war and crisis bargaining. While the focus is on understanding applied work, previous training in game theory is required. Students will build upon their previous game theory training to become informed consumers of scholarship utilizing the methodology and begin to learn how to apply game-theoretic logic to their own work. The course is partly taught from lecture notes, at other times students present a research paper and stimulate discussion in class.

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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Political Behavior in Context (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Examination achievement:
Term Paper (ca. 8.000 words)
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202612:00 – 13:30B 318 Seminarraum; A 5, 6 Bauteil B
Description:
Political behavior takes place in context. This statement is a truism and implies several challenges at the same time. Context is a multidimensional concept comprising – inter alia – social, political, and institutional features. At the theoretical level, the diversity of dimensions requires careful consideration of how to integrate contextual features into individual-level models of political behavior. Moreover, combining data from different levels of aggregation to examine the role of contexts in individual-level behavior raises several methodological issues. In this seminar, we will address the conceptual, theoretical, and methodological issues in the analysis of contextual effects on individual-level political behavior. Students will review the latest empirical studies in the field and prepare research papers in which they analyze specific questions using available data sets.
Advanced Topics in International Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Class Participation & Discussion: 30%
Presentation: 20%
Research Paper (15 pages): 50%
Instructor(s):
Prof. Dr. Thomas König
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202613:45 – 15:15C 216 Seminarraum; A 5, 6 Bauteil C
Description:
This seminar explores European integration through the lens of quantitative political science. It examines advanced empirical research on EU institutions, legislative behavior, public opinion, integration preferences, policy outcomes, and crisis responses. Students will engage with both canonical and cutting-edge research, replicate empirical analyses, and develop their own research projects.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: The Coalition Life Cycle (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:

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.
Literature:
  • 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.
Examination achievement:
Class Participation & Discussion: 30%
Presentation: 20%
Research Paper (15 pages): 50%
Instructor(s):
Prof. Dr. Thomas König
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202610:15 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Description:
This course examines the life cycle of coalitions in elections, including coalition formation, governance, termination, and their impact on elections. Students will analyze theoretical foundations and empirical applications to the different stages of the coalition life cycle and its dynamics.
AG1/BD1: Advanced Work and Organizational Psychology (Lecture, english)
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Learning target:
This course provides an in-depth overview of current topics in work and organizational psychology. Based on the restricted employee sustainability theory (REST, Barnes et al., 2003) we will discuss processes related to stress, well-being maintenance, social support, and learning & development within organizations. The focus is on reading recent original literature and critical discussions. To gain course credits, students will provide written answers to questions related to the topics and articles discussed in the course.
Literature:
Journal papers; reading assignments will be given at the beginning of the semester.
Examination achievement:
schriftliche Hausarbeit
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202617:15 – 18:45C 217 EduSpace; A 5, 6 Bauteil C
Description:
Diese Vorlesung bietet eine Einführung in das Fach Arbeits- und Organisationspsychologie und stellt dabei wesentliche Themen vor, unter anderem Arbeitsmotivation, Stress, Arbeitsgruppen, Führung, Arbeitsanalyse, Leistungsbeurteilung, Personalauswahl, Training. Es wird ein erster Überblick über wichtige forschungs- und praxisbezogene Fragestellungen vermittelt, wobei insbesondere die empirische Basis des Faches betont wird. Diese Veranstaltung empfiehlt sich für alle Studierenden als Einstieg in das Fach „Arbeits- und Organisationspsychologie”.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BC2 (also AC1): Research and application techniques 2 (Seminar, english)
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
  • 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.
Examination achievement:
Master students (BC2): Marked written exam (90 minutes)
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
Friday  (single date) 11.09.202609:00 – 12:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 16.10.202609:00 – 12:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 20.11.202609:00 – 12:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Description:
Mathematical and Statistical Foundations of Psychology
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BC2 (also AC1): Research and application techniques 2 (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
For incomings only: If you require additional credits, please contact the instructor to discuss possible options for supplementary coursework.
Examination achievement:
Creating an experiment (specific requirements discussed in course)
Instructor(s):
Dr. Sophie Scharf
Date(s):
Friday  (single date) 18.09.202610:15 – 11:45ZOOM-Lehre-069; Virtuelles Gebäude
Friday  (single date) 02.10.202610:15 – 13:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 09.10.202610:15 – 13:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Saturday  (single date) 10.10.202610:15 – 15:15108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 30.10.202610:15 – 13:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 13.11.202610:15 – 13:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Saturday  (single date) 14.11.202610:15 – 15:15108 CIP-Pool; B 6, 30–32 Bauteil E-F
Description:
lab.js is a simple, graphical tool to help you build studies for the web and the laboratory – in addition, it is free and open-source. Many standard tasks can be implemented in lab.js using its graphical user interface. Further, more complex tasks can be realized through the underlying programming language JavaScript.

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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Cross Sectional Data Analysis (Lecture) (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
Books are available in the library. The slides can be downloaded from ILIAS.
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202613:45 – 15:15B 244 Hörsaal; A 5, 6 Bauteil B
Description:
The main focus of this course lies on the introduction to statistical models and estimators beyond linear regression useful to social and economic scientists. Although very useful, the general linear model (linear regression) is not appropriate if the range of the dependent variable Y is restricted (e.g., binary, ordinal, count) and/or the variance of Y depends on the mean of Y . Generalized linear models extend the general linear model to address both of these shortcomings. The course provides an overview of generalized linear models (GLM) that encompass non-normal response distributions to model functions of the mean of Y . GLMs thus relate the expected mean E(Y ) of the dependent variable to the predictor variables via a specific link function. This link function is chosen such that it matches the data generating process of the dependent variable Y, therefore permitting the expected mean E(Y ) to be non-linearly related to the predictor variables. Examples for GLMs are the logistic regression, regressions for ordinal data, or regression models for count data. GLMs are generally estimated by use of maximum likelihood estimation. The course thus not only introduces GLMs but also offers an introduction to the principle of maximum likelihood estimation. We will, however, start with discussing violations of the asymptotic properties of the linear regression model and ways to address these violations (heteroscedasticity, endogeneity, proxy variables, IV-estimator). A good understanding of the classical linear regression model is a prerequisite and required for the course.

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
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Cross Sectional Data Analysis (Tutorial) (Scientific exercise, english)
Course type:
Scientific exercise
ECTS:
3
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Learning target:
The goal of the lab session is a) to practice the topics you learned in applied form, b) an opportunity for questions, and c) give you and discuss with you hands-on approaches for your further empirical work (e.g., the graphical representation of results).
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202612:00 – 13:30B 143 Seminarraum; A 5, 6 Bauteil B
Description:
Lab sessions will repeat and practice topics from the lecture based on weekly exercises. These exercises follow the lecture so that you will have a week or more to solve each exercise.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
International Political Economy (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202612:00 – 13:30B 243 Hörsaal; A 5, 6 Bauteil B
Description:
International Political Economy:
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Research Design (Lecture, english)
Course type:
Lecture
ECTS:
4
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
written exam (90 min.)
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202613:45 – 15:15C 012 Seminarraum; A 5, 6 Bauteil C
Description:
How do we know which research design fits best our research question? What requirements must be in place for good descriptive, causal and predictive inference? How do we estimate causal effects? How do we design and analyze experiments? Can we make causal claims from observational data? Researchers in the social sciences must be able to answer all of these questions.
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Research Design (Tutorial) (Scientific exercise, english)
Course type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Max Otto
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202615:30 – 17:00B 318 Seminarraum; A 5, 6 Bauteil B
Description:
In the practice sessions, students will learn how to implement causal inference methods in R. Students should bring their own laptop for the all practice sessions. Previous knowledge in R is not necessary although advantageous. Please make also sure to install R and R studio before the first practice session.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Wahlmodul B: Migration and Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Dr. Keonhi Son
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202610:15 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Description:
Care, sometimes described as “love labor,” is often treated as part of the private sphere. Yet as women’s labor force participation has risen, care has increasingly become a public concern, visible in low fertility and growing needs for long-term care, often discussed as a global care crisis. Feminist scholars argue that care work, performed largely by women, has always been essential to societies (just like paid labor) while being historically undervalued and frequently subject to state regulation. The rise of capitalism contributed to the devaluation of unpaid care: housewives were excluded from labor statistics, and domestic labor was framed as secondary to wage work, compensated only indirectly through the male breadwinner’s wage. States also helped institutionalize hierarchies between paid and unpaid labor, reflected in persistent wage penalties in feminized occupations such as domestic work. In response, women mobilized both for equal workplace rights and for recognition of “difference,” including demands to value and compensate domestic labor through measures such as housewife allowances. Yet the extent to which states have rewarded, regulated, or supported care has varied sharply across countries and historical periods. This seminar examines how capitalism and state institutions have shaped the status of care, and why policy responses to care have diverged over time and across countries. This course comprises three parts. The first part introduces economic and sociological functionalist frameworks, which explain how socio-economic transformations shaped women’s labor have—a conventional approach to understanding women’s roles in advanced capitalism. The second part shifts the focus to literature that highlights the significant role of politics and policies on shaping women’s labor. In particular, it examines pivotal moments in history when gender relations underwent significant political transformations, including earlier historical periods when the notion of women’s paid labor was still contested. After familiarizing relevant literature, the seminar culminates in a student-led conference where participants will present their research in 20-minute sessions, integrating course themes and insights.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Comparing welfare states with cross-national and process tracing analyses (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written term paper (5000 words) by mid-January 2026
Instructor(s):
Andrew Zola
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202610:15 – 11:45C 116 Seminarraum; A 5, 6 Bauteil C
Description:
Comparing welfare states has become a major sociological field, using a variety of methods to study institutional differences, historical path dependencies, and societal changes. This elective seminar provides an introduction to comparative strategies and methods, particular those used in cross‐national comparison of modern welfare states, using examples of empirical studies from this filed. In the seminar, the different quantitative and qualitative methods and strategies to compare internationally and to analyse processes over time will be discussed. It begins with an overview of the main approaches to historical and comparative sociology (Durkheim, Weber) and the differences in current research practice between variable‐and case‐oriented sociological analysis. Comparative welfare state analysis and the varieties of capitalism perspective use macro‐comparative typologies to explain cross‐ national differences, using both qualitative and quantitative methods to explore cross‐national differences. Qualitative comparative methods (QCA, fuzzy set), comparative or time‐related quantitative methods (cluster analysis, pooled time series) will be discussed. In addition, the method of within‐case analysis, in particular process tracing, that seeks to establish tests for evaluating evidence about causal mechanism over time will be discussed. The application of these methods and approaches will be illustrated by examples from comparative studies of welfare states and market economies. Finally, recent debates on the pro/cons of using comparative methods will be discussed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Hands on: Factorial Survey Experiments in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202612:00 – 13:30A 102 Seminarraum; B 6, 23–25 Bauteil A
Description:
The colloquium prepares the students to develop an idea for writing the master thesis. It also accompanies the production of the master thesis among those in the final stage of their Master degree
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Organizational Theory (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
  • Two written essays (about 10 pages) on selected topics of organization science
  • Short conference-style presentations of your written essays in class
Instructor(s):
Prof. Ph. D. Henning Hillmann
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202610:15 – 11:45B 143 Seminarraum; A 5, 6 Bauteil B
Description:

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.

More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Game Theory (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
David Avagian
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202613:45 – 15:15B 317 Seminarraum; A 5, 6 Bauteil B
Description:
This tutorial accompanies the graduate-level introductory lecture on game theory. Its main objective is to practice solution concepts for static and dynamic games of complete and incomplete information. The contents are centered around the material covered in the lecture. Thus, the following key areas will be discussed: normal-form games, dominance, Nash equilibria, mixed strategies, continuous strategies, sequential games with perfect and incomplete information, subgames and subgame perfection, Bayesian equilibria, signaling and cheap talk games, expected utility and decision theory, bargaining theory, and social choice. At the substantial level, we will use these concepts to study, as examples, candidate competition, political lobbying, and war and deterrence.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Game Theory (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Thomas Bräuninger
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202613:45 – 15:15B 317 Seminarraum; A 5, 6 Bauteil B
Description:
This tutorial accompanies the graduate-level introductory lecture on game theory. Its main objective is to practice solution concepts for static and dynamic games of complete and incomplete information. The contents are centered around the material covered in the lecture. Thus, the following key areas will be discussed: normal-form games, dominance, Nash equilibria, mixed strategies, continuous strategies, sequential games with perfect and incomplete information, subgames and subgame perfection, Bayesian equilibria, signaling and cheap talk games, expected utility and decision theory, bargaining theory, and social choice. At the substantial level, we will use these concepts to study, as examples, candidate competition, political lobbying, and war and deterrence.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Johann-Friedrich Salzmann
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202608:30 – 10:00A 103 Seminarraum; B 6, 23–25 Bauteil A
Description:
This tutorial accompanies the course “Quantitative Methods” in the M.A. program in Political Science. The lab sessions will focus on the practical issues associated with quantitative methods, including obtaining and preparing data sets, how to use statistical software, which tests to use for different kinds of problems, how to graph data effectively for presentation and analysis, and how to interpret results. The seminar will also serve as a software tutorial. No prior knowledge of statistical programming is expected.
S Quantitative Methods (Tutorial) (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Thomas Gschwend, Or Tuttnauer
Date(s):
Friday  (weekly) 11.09.2026 – 11.12.202610:15 – 11:45B 318 Seminarraum; A 5, 6 Bauteil B
Description:
This tutorial accompanies the course “Quantitative Methods” in the M.A. program in Political Science. The lab sessions will focus on the practical issues associated with quantitative methods, including obtaining and preparing data sets, how to use statistical software, which tests to use for different kinds of problems, how to graph data effectively for presentation and analysis, and how to interpret results. The seminar will also serve as a software tutorial. No prior knowledge of statistical programming is expected.
VL Game Theory (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Exam
Instructor(s):
Prof. Dr. Thomas Bräuninger
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202610:15 – 11:45B 244 Hörsaal; A 5, 6 Bauteil B
Description:
The objective of this course is to provide students with the basics of formal modeling in political science. The course has some breadth in coverage in the sense that it provides a graduate-level introduction and overview to different areas in game theory. It is also narrow in the sense that the emphasis is not on application and model testing but getting trained in reading and writing down formal models. At the conceptual level the course will cover the following topics: normal form games, Nash equilibria, extensive form games, subgame perfect equilibria, repeated games, bargaining, games with incomplete and imperfect information, Bayesian perfect equilibria, signaling games, preferences and individual choices, basics of decision theory and social choice. At the substantial level, we will use these concepts to study, as examples, candidate competition, political lobbying, and war and deterrence.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Examination achievement:
data essay approx. 2000 words
Instructor(s):
Or Tuttnauer
Date(s):
Monday  (single date) 07.09.202612:00 – 13:30B 244 Hörsaal; A 5, 6 Bauteil B
Tuesday  (weekly) 08.09.2026 – 08.12.202608:30 – 10:00B 243 Hörsaal; A 5, 6 Bauteil B
Description:
The course introduces students to quantitative methods in political science. During the first half of the course, we will focus on linear regression models. The topics covered include discussions of the mathematical bases for such models, their estimation and interpretation, model assumptions and techniques for addressing violations of those assumptions, and topics related to model specification and functional forms. During the second half of the course, students will be introduced to likelihood as a theory of inference, including models for binary and count data.

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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective courses from the course offer of the CDSB
ACC 922 Decarbonization seminar (Seminar, german)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
german
Attendance:
Instructor(s):
Prof. Ph. D. Stefan Reichelstein, Prof. Dr. Gunther Glenk, Prof. Ph. D. Ulrich Wagner
Corporate Sustainability and Decarbonization (Seminar, german)
Course type:
Seminar
ECTS:
3.0
Course suitable for:
Language of instruction:
german
Attendance:
Instructor(s):
Prof. Ph. D. Stefan Reichelstein, Prof. Dr. Gunther Glenk, Prof. Ph. D. Ulrich Wagner
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202617:15 – 18:45O 133 KPMG Hörsaal; Schloss Ostflügel
European Tax Law (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:

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
Instructor(s):
Dr. Christoph Kiegler
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202613:45 – 15:15EO 169 Seminarraum; Schloss Ehrenhof Ost
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
IS 930 Web Scraping for Researchers (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Jens Förderer
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
OPM 803 Selected Topics in Nonlinear Optimization (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Cornelia Schön-Peterson
Date(s):
Friday  (weekly) 09.10.2026 – 11.12.202612:00 – 15:15SO 322 Seminarraum; Schloss Schneckenhof Ost
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
OPM 918 Business Analytics: Models, Methods, Managerial Insights (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Raik Stolletz
Date(s):
Thursday  (weekly) 10.09.2026 – 28.01.202710:15 – 13:30SO 318 Seminarraum; Schloss Schneckenhof Ost
Secondary Analysis in Quantitative and Qualitative Research (Seminar for doctoral students, german)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Learning target:

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.
Recommended requirement:
Examination achievement:

Presentation 50%; Written Essay 50%

Instructor(s):
Prof. Dr. Dirk Ifenthaler
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202613:45 – 15:15SO 322 Seminarraum; Schloss Schneckenhof Ost
Description:
Foundation and design of secondary studies, reporting secondary studies for systematic impact on theory and practice
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
TAX 923 Reading Course Taxation Research (I) (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Philipp Dörrenberg, Prof. Dr. Johannes Voget
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202610:15 – 11:45O 048 Seminarraum; Schloss Ostflügel
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Elective courses from the course offer of the CDSE
E5100 Economic History / E8042 Economic History (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
9.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Dr. Alexander Donges
Date(s):
Thursday  (single date) 10.09.202612:00 – 13:30P 044 Seminarraum; L 7, 3–5
Thursday  (single date) 17.09.202612:00 – 13:30P 044 Seminarraum; L 7, 3–5
Wednesday  (weekly) 04.11.2026 – 09.12.202610:15 – 11:45P 043 Seminarraum; L 7, 3–5
Wednesday  (weekly) 04.11.2026 – 09.12.202612:00 – 13:30P 043 Seminarraum; L 7, 3–5
Thursday  (weekly) 05.11.2026 – 10.12.202610:15 – 11:45P 044 Seminarraum; L 7, 3–5
Thursday  (weekly) 05.11.2026 – 10.12.202612:00 – 13:30P 044 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8017 Macroeconomic Shocks and Propagation: Methods and Applications (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
7.5
Course suitable for:
Language of instruction:
english
Credit hours 1:
3
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Matthias Meier
Date(s):
Monday  (weekly) 07.09.2026 – 16.11.202608:30 – 10:00P 043 Seminarraum; L 7, 3–5
Monday  (weekly) 07.09.2026 – 16.11.202617:15 – 18:45P 043 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8022 Industrial Organization Empirics (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
9.5
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Instructor(s):
Prof. Ph. D. Kevin Remmy
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202610:15 – 11:45410 Besprechungsraum; L 7, 3–5
Tuesday  (weekly) 08.09.2026 – 08.12.202617:15 – 18:45P 043 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8028 Financial Contract Theory (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Instructor(s):
Prof. Dr. Ernst-Ludwig von Thadden
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202610:15 – 11:45P 043 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8044 Economics of the Environment (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Instructor(s):
Prof. Ph. D. Ulrich Wagner
Date(s):
Monday  (single date) 03.08.202610:15 – 11:45ZOOM-Lehre-039; Virtuelles Gebäude
Monday  (single date) 03.08.202613:00 – 14:00ZOOM-Lehre-039; Virtuelles Gebäude
Monday  (single date) 31.08.202615:00 – 17:00O 048 Seminarraum; Schloss Ostflügel
Tuesday  (single date) 01.09.202608:30 – 16:30O 048 Seminarraum; Schloss Ostflügel
Wednesday  (single date) 02.09.202608:30 – 16:30EO 256 Seminarraum; Schloss Ehrenhof Ost
Thursday  (single date) 03.09.202608:30 – 16:30EO 256 Seminarraum; Schloss Ehrenhof Ost
Friday  (single date) 04.09.202608:30 – 12:00EO 256 Seminarraum; Schloss Ehrenhof Ost
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8069 Computational Macro (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Matthias Meier
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202608:30 – 10:00P 043 Seminarraum; L 7, 3–5
Description:
  • Prerequisites: First year PhD sequence, some programming experience on Python, Julia or Matlab. Course content will be taught in Python or Julia, with the latter being very similiar to Matlab. We briefly review Dynamic Programming, some understanding of it is necessary for following the content.
  • Goals and Contents: The course will introduce different solution methods for macroeconomic models, both global and local, applicable to models with and without heterogeneous agents. Solution methods that will be discussed are value function iteration, policy function iteration, endogenous grid methods, as well as the use of deep learning for solving recursive problems.
  • Expected Competences: Students gain knowledge and understanding how to use and implement numerical methods to solve dynamic programming problems on their computer.
  • Requirements for the assignment of the ECTS-Credits and Grades: Problemsets with one in-class presentation of the solution to an exercise (10%), one presentation on a background topic related to numerical methods (10%), Midterm exam which covers theoretical foundations behind numerical methods (40%), Coding assigment in which students can extend or apply on of the methods discussed in class on predefined topics (40%)
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E846 PhD Reading Course in Industrial Organization (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Instructor(s):
Prof. Dr. Volker Nocke
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202612:00 – 13:30P 044 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E854 Topics in Mechanism Design (Seminar, german)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
german
Attendance:
Instructor(s):
Prof. Dr. Thomas Tröger
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202613:45 – 15:15P 043 Seminarraum; L 7, 3–5
E877 Behavioral Game Theory (and Experiments) (Lecture, german)
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Live & on-campus
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202610:15 – 11:45P 043 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202610:15 – 11:45410 Besprechungsraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E900 PhD Seminar (Seminar, german)
Course type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
german
Attendance:
Live & on-campus
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202617:15 – 18:45P 043 Seminarraum; L 7, 3–5
E920 Uncertainty, Learning and Dynamics (Lecture, english)
Course type:
Lecture
ECTS:
10.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Instructor(s):
Dr. Gregorio Curello
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202612:00 – 13:30P 043 Seminarraum; L 7, 3–5
Wednesday  (weekly) 09.09.2026 – 09.12.202610:15 – 11:45002 Seminarraum; L 9, 1–2
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E931From Idea to Implementation: Developing Your Own Research Project (Seminar, english)
Course type:
Seminar
ECTS:
10.0
Course suitable for:
Language of instruction:
english
Attendance:
On-campus and online, live
Instructor(s):
Prof. Ph. D. Henrik Orzen, Prof. Dr. Wladislaw Mill
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202615:30 – 18:45003 Seminarraum; L 9, 1–2
E939 Topics in Econometrics (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
On-campus and online, live
Instructor(s):
Prof. Dr. Carsten Trenkler, Prof. Ph. D. Mengshan Xu
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202613:45 – 15:15002 Seminarraum; L 9, 1–2
Monday  (weekly) 07.09.2026 – 07.12.202615:30 – 17:00002 Seminarraum; L 9, 1–2
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E942 Inflation Costs and Optimal Inflation (Seminar, german)
Course type:
Seminar
ECTS:
7.5
Course suitable for:
Language of instruction:
german
Credit hours 1:
3
Attendance:
Instructor(s):
Prof. Klaus Adam
Date(s):
Wednesday  (single date) 02.09.202609:00 – 17:00
Thursday  (single date) 03.09.202609:00 – 17:00
Friday  (single date) 04.09.202609:00 – 17:00
Thursday  (single date) 24.09.202610:15 – 11:45
Thursday  (single date) 24.09.202613:15 – 16:15SO 133 Seminarraum; Schloss Schneckenhof Ost
Thursday  (single date) 15.10.202609:00 – 12:00
Thursday  (single date) 05.11.202609:00 – 12:00
Thursday  (single date) 10.12.202609:00 – 12:00
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.

Mandatory Research Courses

E800 CDSE Seminar
E800 CDSE Seminar (Seminar, english)
Course type:
Seminar
ECTS:
12.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202615:30 – 17:00S 031 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
SKL801 English Academic Writing
E922 English Academic Writing for Business and Economics – Mukherjee (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Date(s):
Thursday  (single date) 29.10.202609:00 – 17:00209 Seminarraum; B 6, 30–32 Bauteil E-F
Thursday  (single date) 19.11.202609:00 – 17:00209 Seminarraum; B 6, 30–32 Bauteil E-F
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E922 English Academic Writing for Business and Economics – Stahl (Course, english)
Course type:
Course
ECTS:
3.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Konrad Stahl
Date(s):
Friday  (single date) 11.09.202609:00 – 17:00P 043 Seminarraum; L 7, 3–5
Friday  (single date) 25.09.202609:00 – 17:00P 043 Seminarraum; L 7, 3–5
Saturday  (single date) 26.09.202609:00 – 13:00P 043 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB or CDSS
Bridge Course – from the GESS course offer
IE 697 Data Science in Action (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Recommended requirement:
Literature:
Recommended Papers from invited speakers
Examination achievement:
Written Essay
Instructor(s):
Prof. Dr. Heiner Stuckenschmidt, Ricarda Link
Date(s):
Thursday  (weekly) 17.09.2026 – 03.12.202612:00 – 13:30ZOOM-Lehre-103; Virtuelles Gebäude
Description:
The Mannheim Center for Data Science (MCDS) offers a lecture series on “Data Science in Action” together with the European University ENGAGE.EU (Signature Course). Renowned researchers from the University of Mannheim and its partner universities Université Toulouse Capitole, Tilburg University, Hanken School of Economics, Norwegian School of Economics (NHH) and  WU Vienna University of Economics and Business will provide insights into their data-based research. The speakers represent various disciplines, including business administration, computer science, political science, business education, media and communication studies, sociology, psychology and linguistics. The lecture series thus represents the relevance of data science in its entire breadth for science and society.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Women in Leadership (PhD + Mastercourse in HWS 2026) (Lecture, english)
Course type:
Lecture
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:

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/Fail course. To successfully pass the course, each student has to:

  • 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.
Instructor(s):
Prof. Dr. Alexandra Niessen-Ruenzi, Sehrish Usman Ph.D.
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202610:15 – 11:45O 129 Göhringer Hörsaal; Schloss Ostflügel
Monday  (block date) 26.10.202610:15 – 13:30004 EduSpace; L 9, 1–2
Monday  (block date) 02.11.202610:15 – 13:30004 EduSpace; L 9, 1–2
Monday  (block date) 09.11.202610:15 – 13:30004 EduSpace; L 9, 1–2
Monday  (block date) 16.11.202610:15 – 13:30004 EduSpace; L 9, 1–2
Description:

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.
 

More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Accounting)
MET: Applied Data Science: Machine Learning for Economics and Business Data (Lecture, english)
Course type:
Lecture
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Attendance:
Instructor(s):
Prof. Dr. Davud Rostam-Afschar
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202615:30 – 17:00O 226–28 Seminarraum; Schloss Ostflügel
Bridge Course from the course offer of the CDSB (Management)
MAN 802 Fundamentals of Non-Profit Management Science (Lecture, english)
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
4
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Bernd Helmig
Date(s):
Thursday  (single date) 17.09.202610:15 – 12:15EO 256 Seminarraum; Schloss Ehrenhof Ost
Tuesday  (single date) 06.10.202613:45 – 14:45EO 256 Seminarraum; Schloss Ehrenhof Ost
Thursday  (single date) 19.11.202610:00 – 17:30EO 256 Seminarraum; Schloss Ehrenhof Ost
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSB (Operations Management)
OPM 801 Optimization and Heuristics (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Raik Stolletz
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202615:30 – 18:45SO 322 Seminarraum; Schloss Schneckenhof Ost
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
OPM 803 Selected Topics in Nonlinear Optimization (Lecture w/ Exercise, english)
Course type:
Lecture w/ Exercise
ECTS:
8.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Cornelia Schön-Peterson
Date(s):
Friday  (weekly) 09.10.2026 – 11.12.202612:00 – 15:15SO 322 Seminarraum; Schloss Schneckenhof Ost
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
OPM 918 Business Analytics: Models, Methods, Managerial Insights (Lecture, english)
Course type:
Lecture
ECTS:
Course suitable for:
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Raik Stolletz
Date(s):
Thursday  (weekly) 10.09.2026 – 28.01.202710:15 – 13:30SO 318 Seminarraum; Schloss Schneckenhof Ost
Bridge Course from the course offer of the CDSS (Political Science)
Advanced Topics in Comparative Politics: Formal Models in CP (and some in IR) (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Literature:
Various chapters of Scott Gehlbach's Formal Models of Domestic Politics (CUP) and journal articles from different fields
Examination achievement:
Term paper
Instructor(s):
Prof. Dr. Thomas Bräuninger
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202615:30 – 17:00B 317 Seminarraum; A 5, 6 Bauteil B
Description:
This course is a continuation of the intro into Game Theory and surveys key applications of game theory with a particular emphasis on the link of theories, methods and empirics. Emphasis will be placed on prominent applications of those concepts in political science, in both comparative and international politics. Topics covered include electoral competition, delegation, political agency, governmental veto players, authoritarian politics, manipulation, war and crisis bargaining. While the focus is on understanding applied work, previous training in game theory is required. Students will build upon their previous game theory training to become informed consumers of scholarship utilizing the methodology and begin to learn how to apply game-theoretic logic to their own work. The course is partly taught from lecture notes, at other times students present a research paper and stimulate discussion in class.

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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Political Behavior in Context (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Examination achievement:
Term Paper (ca. 8.000 words)
Instructor(s):
Prof. Dr. Harald Schoen
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202612:00 – 13:30B 318 Seminarraum; A 5, 6 Bauteil B
Description:
Political behavior takes place in context. This statement is a truism and implies several challenges at the same time. Context is a multidimensional concept comprising – inter alia – social, political, and institutional features. At the theoretical level, the diversity of dimensions requires careful consideration of how to integrate contextual features into individual-level models of political behavior. Moreover, combining data from different levels of aggregation to examine the role of contexts in individual-level behavior raises several methodological issues. In this seminar, we will address the conceptual, theoretical, and methodological issues in the analysis of contextual effects on individual-level political behavior. Students will review the latest empirical studies in the field and prepare research papers in which they analyze specific questions using available data sets.
Advanced Topics in International Politics (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Class Participation & Discussion: 30%
Presentation: 20%
Research Paper (15 pages): 50%
Instructor(s):
Prof. Dr. Thomas König
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202613:45 – 15:15C 216 Seminarraum; A 5, 6 Bauteil C
Description:
This seminar explores European integration through the lens of quantitative political science. It examines advanced empirical research on EU institutions, legislative behavior, public opinion, integration preferences, policy outcomes, and crisis responses. Students will engage with both canonical and cutting-edge research, replicate empirical analyses, and develop their own research projects.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: The Coalition Life Cycle (Seminar, english)
Course type:
Seminar
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Learning target:

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.
Literature:
  • 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.
Examination achievement:
Class Participation & Discussion: 30%
Presentation: 20%
Research Paper (15 pages): 50%
Instructor(s):
Prof. Dr. Thomas König
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202610:15 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Description:
This course examines the life cycle of coalitions in elections, including coalition formation, governance, termination, and their impact on elections. Students will analyze theoretical foundations and empirical applications to the different stages of the coalition life cycle and its dynamics.
International Political Economy (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Valentin Lang
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202612:00 – 13:30B 243 Hörsaal; A 5, 6 Bauteil B
Description:
International Political Economy:
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Game Theory (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
David Avagian
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202613:45 – 15:15B 317 Seminarraum; A 5, 6 Bauteil B
Description:
This tutorial accompanies the graduate-level introductory lecture on game theory. Its main objective is to practice solution concepts for static and dynamic games of complete and incomplete information. The contents are centered around the material covered in the lecture. Thus, the following key areas will be discussed: normal-form games, dominance, Nash equilibria, mixed strategies, continuous strategies, sequential games with perfect and incomplete information, subgames and subgame perfection, Bayesian equilibria, signaling and cheap talk games, expected utility and decision theory, bargaining theory, and social choice. At the substantial level, we will use these concepts to study, as examples, candidate competition, political lobbying, and war and deterrence.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Game Theory (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Thomas Bräuninger
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202613:45 – 15:15B 317 Seminarraum; A 5, 6 Bauteil B
Description:
This tutorial accompanies the graduate-level introductory lecture on game theory. Its main objective is to practice solution concepts for static and dynamic games of complete and incomplete information. The contents are centered around the material covered in the lecture. Thus, the following key areas will be discussed: normal-form games, dominance, Nash equilibria, mixed strategies, continuous strategies, sequential games with perfect and incomplete information, subgames and subgame perfection, Bayesian equilibria, signaling and cheap talk games, expected utility and decision theory, bargaining theory, and social choice. At the substantial level, we will use these concepts to study, as examples, candidate competition, political lobbying, and war and deterrence.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Quantitative Methods (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Johann-Friedrich Salzmann
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202608:30 – 10:00A 103 Seminarraum; B 6, 23–25 Bauteil A
Description:
This tutorial accompanies the course “Quantitative Methods” in the M.A. program in Political Science. The lab sessions will focus on the practical issues associated with quantitative methods, including obtaining and preparing data sets, how to use statistical software, which tests to use for different kinds of problems, how to graph data effectively for presentation and analysis, and how to interpret results. The seminar will also serve as a software tutorial. No prior knowledge of statistical programming is expected.
S Quantitative Methods (Tutorial) (Seminar, english)
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
english
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Thomas Gschwend, Or Tuttnauer
Date(s):
Friday  (weekly) 11.09.2026 – 11.12.202610:15 – 11:45B 318 Seminarraum; A 5, 6 Bauteil B
Description:
This tutorial accompanies the course “Quantitative Methods” in the M.A. program in Political Science. The lab sessions will focus on the practical issues associated with quantitative methods, including obtaining and preparing data sets, how to use statistical software, which tests to use for different kinds of problems, how to graph data effectively for presentation and analysis, and how to interpret results. The seminar will also serve as a software tutorial. No prior knowledge of statistical programming is expected.
VL Game Theory (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Exam
Instructor(s):
Prof. Dr. Thomas Bräuninger
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202610:15 – 11:45B 244 Hörsaal; A 5, 6 Bauteil B
Description:
The objective of this course is to provide students with the basics of formal modeling in political science. The course has some breadth in coverage in the sense that it provides a graduate-level introduction and overview to different areas in game theory. It is also narrow in the sense that the emphasis is not on application and model testing but getting trained in reading and writing down formal models. At the conceptual level the course will cover the following topics: normal form games, Nash equilibria, extensive form games, subgame perfect equilibria, repeated games, bargaining, games with incomplete and imperfect information, Bayesian perfect equilibria, signaling games, preferences and individual choices, basics of decision theory and social choice. At the substantial level, we will use these concepts to study, as examples, candidate competition, political lobbying, and war and deterrence.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
VL Quantitative Methods (Lecture, english)
Course type:
Lecture
ECTS:
8.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Examination achievement:
data essay approx. 2000 words
Instructor(s):
Or Tuttnauer
Date(s):
Monday  (single date) 07.09.202612:00 – 13:30B 244 Hörsaal; A 5, 6 Bauteil B
Tuesday  (weekly) 08.09.2026 – 08.12.202608:30 – 10:00B 243 Hörsaal; A 5, 6 Bauteil B
Description:
The course introduces students to quantitative methods in political science. During the first half of the course, we will focus on linear regression models. The topics covered include discussions of the mathematical bases for such models, their estimation and interpretation, model assumptions and techniques for addressing violations of those assumptions, and topics related to model specification and functional forms. During the second half of the course, students will be introduced to likelihood as a theory of inference, including models for binary and count data.

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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Psychology)
AG1/BD1: Advanced Work and Organizational Psychology (Lecture, english)
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Learning target:
This course provides an in-depth overview of current topics in work and organizational psychology. Based on the restricted employee sustainability theory (REST, Barnes et al., 2003) we will discuss processes related to stress, well-being maintenance, social support, and learning & development within organizations. The focus is on reading recent original literature and critical discussions. To gain course credits, students will provide written answers to questions related to the topics and articles discussed in the course.
Literature:
Journal papers; reading assignments will be given at the beginning of the semester.
Examination achievement:
schriftliche Hausarbeit
Instructor(s):
Prof. Dr. Sabine Sonnentag
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202617:15 – 18:45C 217 EduSpace; A 5, 6 Bauteil C
Description:
Diese Vorlesung bietet eine Einführung in das Fach Arbeits- und Organisationspsychologie und stellt dabei wesentliche Themen vor, unter anderem Arbeitsmotivation, Stress, Arbeitsgruppen, Führung, Arbeitsanalyse, Leistungsbeurteilung, Personalauswahl, Training. Es wird ein erster Überblick über wichtige forschungs- und praxisbezogene Fragestellungen vermittelt, wobei insbesondere die empirische Basis des Faches betont wird. Diese Veranstaltung empfiehlt sich für alle Studierenden als Einstieg in das Fach „Arbeits- und Organisationspsychologie”.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BC2 (also AC1): Research and application techniques 2 (Seminar, english)
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
  • 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.
Examination achievement:
Master students (BC2): Marked written exam (90 minutes)
Doctoral researchers (CDSS): Individual course criteria (e.g., short presentation, exercises, etc.)
Doctoral researchers from other institutions: Criteria depending on local regulations and requirement
Instructor(s):
Prof. Dr. Thorsten Meiser
Date(s):
Friday  (single date) 11.09.202609:00 – 12:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 16.10.202609:00 – 12:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 20.11.202609:00 – 12:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Description:
Mathematical and Statistical Foundations of Psychology
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.
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1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BC2 (also AC1): Research and application techniques 2 (Intensive seminar, english)
Course type:
Intensive seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Registration procedure:
For incomings only: If you require additional credits, please contact the instructor to discuss possible options for supplementary coursework.
Examination achievement:
Creating an experiment (specific requirements discussed in course)
Instructor(s):
Dr. Sophie Scharf
Date(s):
Friday  (single date) 18.09.202610:15 – 11:45ZOOM-Lehre-069; Virtuelles Gebäude
Friday  (single date) 02.10.202610:15 – 13:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 09.10.202610:15 – 13:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Saturday  (single date) 10.10.202610:15 – 15:15108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 30.10.202610:15 – 13:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 13.11.202610:15 – 13:30108 CIP-Pool; B 6, 30–32 Bauteil E-F
Saturday  (single date) 14.11.202610:15 – 15:15108 CIP-Pool; B 6, 30–32 Bauteil E-F
Description:
lab.js is a simple, graphical tool to help you build studies for the web and the laboratory – in addition, it is free and open-source. Many standard tasks can be implemented in lab.js using its graphical user interface. Further, more complex tasks can be realized through the underlying programming language JavaScript.

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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Bridge Course from the course offer of the CDSS (Sociology)
Cross Sectional Data Analysis (Lecture) (Lecture, english)
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
Books are available in the library. The slides can be downloaded from ILIAS.
Examination achievement:
Written exam (90 minutes)
Instructor(s):
Prof. Dr. Thomas Gautschi
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202613:45 – 15:15B 244 Hörsaal; A 5, 6 Bauteil B
Description:
The main focus of this course lies on the introduction to statistical models and estimators beyond linear regression useful to social and economic scientists. Although very useful, the general linear model (linear regression) is not appropriate if the range of the dependent variable Y is restricted (e.g., binary, ordinal, count) and/or the variance of Y depends on the mean of Y . Generalized linear models extend the general linear model to address both of these shortcomings. The course provides an overview of generalized linear models (GLM) that encompass non-normal response distributions to model functions of the mean of Y . GLMs thus relate the expected mean E(Y ) of the dependent variable to the predictor variables via a specific link function. This link function is chosen such that it matches the data generating process of the dependent variable Y, therefore permitting the expected mean E(Y ) to be non-linearly related to the predictor variables. Examples for GLMs are the logistic regression, regressions for ordinal data, or regression models for count data. GLMs are generally estimated by use of maximum likelihood estimation. The course thus not only introduces GLMs but also offers an introduction to the principle of maximum likelihood estimation. We will, however, start with discussing violations of the asymptotic properties of the linear regression model and ways to address these violations (heteroscedasticity, endogeneity, proxy variables, IV-estimator). A good understanding of the classical linear regression model is a prerequisite and required for the course.

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
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Cross Sectional Data Analysis (Tutorial) (Scientific exercise, english)
Course type:
Scientific exercise
ECTS:
3
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Learning target:
The goal of the lab session is a) to practice the topics you learned in applied form, b) an opportunity for questions, and c) give you and discuss with you hands-on approaches for your further empirical work (e.g., the graphical representation of results).
Instructor(s):
Dr. Sandra Morgenstern
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202612:00 – 13:30B 143 Seminarraum; A 5, 6 Bauteil B
Description:
Lab sessions will repeat and practice topics from the lecture based on weekly exercises. These exercises follow the lecture so that you will have a week or more to solve each exercise.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Research Design (Lecture, english)
Course type:
Lecture
ECTS:
4
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
written exam (90 min.)
Instructor(s):
Prof. Dr. Joseph Sakshaug
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202613:45 – 15:15C 012 Seminarraum; A 5, 6 Bauteil C
Description:
How do we know which research design fits best our research question? What requirements must be in place for good descriptive, causal and predictive inference? How do we estimate causal effects? How do we design and analyze experiments? Can we make causal claims from observational data? Researchers in the social sciences must be able to answer all of these questions.
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.
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1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Research Design (Tutorial) (Scientific exercise, english)
Course type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Max Otto
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202615:30 – 17:00B 318 Seminarraum; A 5, 6 Bauteil B
Description:
In the practice sessions, students will learn how to implement causal inference methods in R. Students should bring their own laptop for the all practice sessions. Previous knowledge in R is not necessary although advantageous. Please make also sure to install R and R studio before the first practice session.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Wahlmodul B: Migration and Integration (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Dr. Keonhi Son
Date(s):
Monday  (weekly) 07.09.2026 – 07.12.202610:15 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Description:
Care, sometimes described as “love labor,” is often treated as part of the private sphere. Yet as women’s labor force participation has risen, care has increasingly become a public concern, visible in low fertility and growing needs for long-term care, often discussed as a global care crisis. Feminist scholars argue that care work, performed largely by women, has always been essential to societies (just like paid labor) while being historically undervalued and frequently subject to state regulation. The rise of capitalism contributed to the devaluation of unpaid care: housewives were excluded from labor statistics, and domestic labor was framed as secondary to wage work, compensated only indirectly through the male breadwinner’s wage. States also helped institutionalize hierarchies between paid and unpaid labor, reflected in persistent wage penalties in feminized occupations such as domestic work. In response, women mobilized both for equal workplace rights and for recognition of “difference,” including demands to value and compensate domestic labor through measures such as housewife allowances. Yet the extent to which states have rewarded, regulated, or supported care has varied sharply across countries and historical periods. This seminar examines how capitalism and state institutions have shaped the status of care, and why policy responses to care have diverged over time and across countries. This course comprises three parts. The first part introduces economic and sociological functionalist frameworks, which explain how socio-economic transformations shaped women’s labor have—a conventional approach to understanding women’s roles in advanced capitalism. The second part shifts the focus to literature that highlights the significant role of politics and policies on shaping women’s labor. In particular, it examines pivotal moments in history when gender relations underwent significant political transformations, including earlier historical periods when the notion of women’s paid labor was still contested. After familiarizing relevant literature, the seminar culminates in a student-led conference where participants will present their research in 20-minute sessions, integrating course themes and insights.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Comparing welfare states with cross-national and process tracing analyses (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
Written term paper (5000 words) by mid-January 2026
Instructor(s):
Andrew Zola
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202610:15 – 11:45C 116 Seminarraum; A 5, 6 Bauteil C
Description:
Comparing welfare states has become a major sociological field, using a variety of methods to study institutional differences, historical path dependencies, and societal changes. This elective seminar provides an introduction to comparative strategies and methods, particular those used in cross‐national comparison of modern welfare states, using examples of empirical studies from this filed. In the seminar, the different quantitative and qualitative methods and strategies to compare internationally and to analyse processes over time will be discussed. It begins with an overview of the main approaches to historical and comparative sociology (Durkheim, Weber) and the differences in current research practice between variable‐and case‐oriented sociological analysis. Comparative welfare state analysis and the varieties of capitalism perspective use macro‐comparative typologies to explain cross‐ national differences, using both qualitative and quantitative methods to explore cross‐national differences. Qualitative comparative methods (QCA, fuzzy set), comparative or time‐related quantitative methods (cluster analysis, pooled time series) will be discussed. In addition, the method of within‐case analysis, in particular process tracing, that seeks to establish tests for evaluating evidence about causal mechanism over time will be discussed. The application of these methods and approaches will be illustrated by examples from comparative studies of welfare states and market economies. Finally, recent debates on the pro/cons of using comparative methods will be discussed.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Hands on: Factorial Survey Experiments in the Social Sciences (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Dr. Tamara Gutfleisch
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202612:00 – 13:30A 102 Seminarraum; B 6, 23–25 Bauteil A
Description:
The colloquium prepares the students to develop an idea for writing the master thesis. It also accompanies the production of the master thesis among those in the final stage of their Master degree
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Organizational Theory (Seminar, english)
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Examination achievement:
  • Two written essays (about 10 pages) on selected topics of organization science
  • Short conference-style presentations of your written essays in class
Instructor(s):
Prof. Ph. D. Henning Hillmann
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202610:15 – 11:45B 143 Seminarraum; A 5, 6 Bauteil B
Description:

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.

More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Support during the dissertation writing process
E8008 Doctoral Colloquium (Colloquium, english)
Course type:
Colloquium
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Instructor(s):
Prof. Klaus Adam
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202613:45 – 15:15410 Besprechungsraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8010 Econometrics Research Seminar (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Christoph Rothe
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202615:30 – 17:00P 043 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8036 Research Seminar in Applied Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
2.5
Course suitable for:
Language of instruction:
english
Credit hours 1:
1
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Philipp Ager, Prof. Dr. Antonio Ciccone
Date(s):
Wednesday  (fortnightly) 16.09.2026 – 02.12.202610:15 – 11:45410 Besprechungsraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8040 Research Seminar – Topics in Experimental Econometrics and Causal Inference (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Markus Frölich
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202612:00 – 13:30410 Besprechungsraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8041Environmental Economics Research Seminar (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
1
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Kathrine von Graevenitz, Jakob Lehr, Prof. Ph. D. Ulrich Wagner
Date(s):
Monday  (single date) 07.09.202613:45 – 15:15S 031 Seminarraum; L 7, 3–5
Tuesday  (single date) 22.09.202612:30 – 14:00
Monday  (single date) 05.10.202613:45 – 15:15P 044 Seminarraum; L 7, 3–5
Tuesday  (single date) 20.10.202612:30 – 14:00
Monday  (single date) 02.11.202613:45 – 15:15210 Seminarraum; L 9, 1–2
Tuesday  (single date) 17.11.202612:30 – 14:00
Monday  (single date) 30.11.202613:45 – 15:15210 Seminarraum; L 9, 1–2
Tuesday  (single date) 15.12.202612:30 – 14:00
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8057 Research Empirical Industrial Organization (Seminar, german)
Course type:
Seminar
ECTS:
7.5
Course suitable for:
Language of instruction:
german
Credit hours 1:
2
Attendance:
Instructor(s):
Prof. Ph. D. Michelle Sovinsky
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202610:15 – 11:45211 Seminarraum; B 6, 30–32 Bauteil E-F
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E8060 Colloquium for Doctoral Students (Colloquium, english)
Course type:
Colloquium
ECTS:
2.5
Course suitable for:
Language of instruction:
english
Credit hours 1:
1
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Antonio Ciccone, Prof. Ph. D. Philipp Ager
Date(s):
Wednesday  (fortnightly) 16.09.2026 – 02.12.202613:45 – 15:15P 043 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E839 Topics in Macroeconomics (Seminar, english)
Course type:
Seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Nina Boberg-Fazlic, Prof. Dr. Michèle Tertilt
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202615:30 – 17:00S 031 Seminarraum; L 7, 3–5
Description:
Course title: Topics in Macroeconomics

Instructor: Michèle Tertilt, Nina Boberg-Fazlic

Offered: every semester

method (hours per week): Seminar (2)

Course level: Ph.D.

Course language: English

ECTS-Credits: 5

Prerequisites: First and second year Ph.D. courses

Course description: Research seminar where Ph.D. students, who have completed their course work, present their own research and receive feedback. Occasionally we will also have an outside speaker.

Requirements for the assignment: Presenting of Research Projects
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E846 PhD Reading Course in Industrial Organization (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Instructor(s):
Prof. Dr. Volker Nocke
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202612:00 – 13:30P 044 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E866 Research Seminar in Economic Policy (Seminar, english)
Course type:
Seminar
ECTS:
5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Grüner
Date(s):
Monday  (fortnightly) 07.09.2026 – 30.11.202613:45 – 15:15O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E873 Research Seminar Public Economics (Research seminar, english)
Course type:
Research seminar
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Eckhard Janeba
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202612:00 – 13:30P 044 Seminarraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E878 Advanced PhD Seminar in Experimental Economics (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
5.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Henrik Orzen
Date(s):
Thursday  (weekly) 10.09.2026 – 10.12.202610:15 – 11:45410 Besprechungsraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E919 Colloquium for students interested in Economic History (Seminar, english)
Course type:
Seminar
ECTS:
2.5
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Live & on-campus
Instructor(s):
Prof. Ph. D. Philipp Ager
Date(s):
Tuesday  (weekly) 08.09.2026 – 08.12.202613:45 – 15:15410 Besprechungsraum; L 7, 3–5
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E940 Research Seminar Freedom and Information (Seminar, english)
Course type:
Seminar
ECTS:
0.0
Course suitable for:
Language of instruction:
english
Credit hours 1:
1
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Hans Grüner
Date(s):
Monday  (fortnightly) 14.09.2026 – 07.12.202613:45 – 15:15O 135 Saal der starken Marken Hörsaal; Schloss Ostflügel
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
E941 Macro Inequality Labor (Seminar for doctoral students, english)
Course type:
Seminar for doctoral students
ECTS:
Course suitable for:
Language of instruction:
english
Credit hours 1:
2
Attendance:
Instructor(s):
Edoardo Acabbi Ph.D., Prof. Dr. Philipp Wangner, Prof. Dr. Moritz Kuhn
Date(s):
Wednesday  (weekly) 09.09.2026 – 09.12.202612:00 – 13:30002 Seminarraum; L 9, 1–2
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.