Teaching

The following courses are offered by members of the DWS group within the degree programs Mannheim Master in Data ScienceBachelor in Business Informatics, and Master in Business Informatics. Professors of the DWS group also teach in the part-time distance-learning Master program in Data Science offered together with Albstadt-Sigmaringen University.

Courses for Master Candidates

CodeTitleLecturerTypeSemesterECTS

IE 500

Data Mining IProf. Dr. Bizer / Prof. Dr. PaulheimLecture / Practical exercises / Student project

Fall / Spring

6

CS 460

Database TechnologyProf. Dr. PaulheimLecture / Practical exercises

Spring

6

CS 560

Large-Scale Data ManagementProf. Dr. GemullaLecture / Practical exercises

Fall

6

IE 560

Decision SupportProf. Dr. Heiner StuckenschmidtLecture / Practical exercises

Fall

6

IE 650

Knowledge GraphsProf. Dr. PaulheimLecture / Practical exercises

Fall

6

IE 661

Text AnalyticsProf. Dr. PonzettoLecture / Practical exercises

Fall

6

IE 663

Information Retrieval and Web SearchProf. Dr. Ponzetto / Dr. Pedro OrtizLecture / Practical exercises / Student projectSpring3+3

IE 670

Web Data IntegrationProf. Dr. BizerLecture / Practical exercises / Student project

Fall

3+3

IE 671

Web MiningProf. Dr. BizerLecture / Practical exercises / Student projectSpring3+3

IE 672

Data Mining IIProf. Dr. PaulheimLecture / Practical exercises / Student projectSpring6
IE 675bMachine LearningProf. Dr. Rainer GemullaLecture / Practical exercisesFall9
IE 678Deep LearningProf. Dr. Gemulla

Lecture / Practical exercises

Spring6

IE 689

Relational LearningProf. Dr. Stuckenschmidt / Dr. MeilickeLecture / Practical exercises

Fall

6
IS 514Process Mining and AnalyticsProf. Dr. Van der Aa, Prof. Dr. Rehse (BWL)Lecture / Practical exercisesFall6
IE 692Advanced Process MiningProf. Dr. Van der AaLecture / Practical ExercisesSpring6

TP

Team ProjectBizer, Paulheim, StuckenschmidtProject Seminar

Fall / Spring

12

CS 704AI SeminarProf. Dr. StuckenschmidtSeminarFall / Spring4

CS 707

Data and Web Science SeminarProf. Dr. GemullaSeminarFall / Spring4

CS 709

Text Analytics SeminarProf. Dr. PonzettoSeminarFall / Spring4

CS 710

Selected Topics in Data Science SeminarProf. Dr. PaulheimSeminar

Spring

4

CS 715

Large-Scale Data Integration SeminarProf. Dr. BizerSeminarSpring4
CS 718AI in Fiction and Society SeminarProf. Dr. PaulheimSeminarFall4
CS 719Process Analysis SeminarProf. Dr. Van der AaSeminarFall/Spring

4

CS 720Seminar on Uncertainty EstimationDr. Tobias WellerSeminarSpring4

All Master's level courses are taught in English.
Courses from previous semesters are found in the Master Course Archive.

Courses for Bachelor Candidates

TitleLecturerTypeSemesterLanguageECTS

Wirtschaftsinformatik II/IV

Prof. Dr. StuckenschmidtLecture / Practical exercises

Spring

German6

Praktische Informatik II

Prof. Dr. Gemulla

Lecture / Practical exercises

SpringGerman6

Einführung in Data Science

Prof. Dr. Ponzetto / Dr. Pedro OrtizLecture / Practical exercisesFallEnglish6

Künstliche Intelligenz

Dr. Christian MeilickeLecture / Practical exercisesFallGerman6

Wirtschaftsinformatik für BaKuWis

Prof. Dr. Bizer / Prof. Dr. PonzettoLecture / Practical exercisesFallGerman 

Wirtschaftsinformatik für WiPäds

Prof. Dr. Bizer / Prof. Dr. PonzettoLecture / Practical exercisesSpringGerman 

KI Seminar

Prof. Dr. StuckenschmidtAcademic talksFall / Spring  
Data and Web Science SeminarProf. Dr. GemullaSeminarFall / SpringEnglish5

Courses from previous semesters are found in the Bachelor Course Archive.

Courses for PhD Candidates

TitleLecturerTypeSemesterLanguageECTS

DWS Colloquium

Prof. Dr. Bizer / Prof. Dr. Gemulla / Prof. Dr. Paulheim / Prof. Dr. Ponzetto / Prof. Dr. StuckenschmidtAkademic talks and dicussion

Fall / Spring

  

Computational Text Analysis

Dr. Federico NanniLecture / Practical Exercises

Fall

English6

 

Lecture Videos

The Data and Web Science Group records core lectures for Master students on video and provides screen casts of  accompanying exercises in order to enable students to be more flexible in their learning patterns. The videos and screen casts are found here.