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Course Details

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

Semantic Web TechnologiesProf. Dr. PaulheimLecture / Practical exercises

Fall

6

IE 661

Text AnalyticsProf. Dr. Ponzetto / Prof. Dr. GlavašLecture / Practical exercises

Fall

6

IE 663

Information Retrieval and Web SearchProf. Dr. GlavašLecture / Practical exercises / Student projectSpring3+3

IE 670

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

Fall

3+3

IE 671

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

IE 672

Data Mining IIProf. Dr. PaulheimLecture / Practical exercises / Student projectSpring6

CS 647

Image ProcessingProf. Dr.-Ing. Margret KeuperLecture / Practical exercises / Student project

Fall

6

CS 646

Higher Level Computer VisionProf. Dr.-Ing. Margret KeuperLecture / Practical exercises / Student projectSpring6

IE 673

Data Mining and MatricesProf. Dr. GemullaLecture / Practical exercises 6

IE 674

Hot Topics in Machine LearningProf. Dr. GemullaLecture / Practical exercises

Spring

6
IE 675Machine LearningProf. Dr. Rainer GemullaLecture / Practical exercisesFall6
IE 676Network AnalysisProf. Dr. StuckenschmidtLecture / Practical exercisesFall6

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

TP

Team ProjectBizer, Paulheim, StuckenschmidtProject Seminar

Fall / Spring

12

CS 704Social Simulation SeminarProf. Dr. StuckenschmidtSeminarSpring4

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 717Seminar on Computer VisionProf. Dr.-Ing. Margret KeuperSeminarFall/Spring4
CS 718AI in Fiction and Society SeminarProf. Dr. PaulheimSeminarFall4
CS 719Process Analysis SeminarProf. Dr. Van der AaSeminarFall4

All Master's level courses are taught in English.

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. PonzettoLecture / 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 

Seminar

Prof. Dr. StuckenschmidtAcademic talksFall / Spring  

Data and Web Science Seminar

Prof. Dr. GemullaSeminarFall / SpringEnglish5

 

Courses for PhD Candidates

TitleLecturerTypeSemesterLanguageECTS

Colloquium

Prof. Dr. Stuckenschmidt / Prof. Dr. Bizer / Prof. Dr. Gemulla / Prof. Dr. Paulheim / Prof. Dr. PonzettoAkademic talks and dicussion

Fall / Spring

  

Computational Text Analysis

Dr. Federico NanniLecture / Practical Exercises

Fall

English6