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Course Details

Courses for Master Candidates

Code	Title	Lecturer	Type	Semester	ECTS
IE 500	Data Mining I	Prof. Dr. Bizer / Prof. Dr. Paulheim	Lecture / Practical exercises / Student project	Fall / Spring	6
CS 460	Database Technology	Prof. Dr. Paulheim	Lecture / Practical exercises	Spring	6
CS 560	Large-Scale Data Management	Prof. Dr. Gemulla	Lecture / Practical exercises	Fall	6
IE 560	Decision Support	Prof. Dr. Heiner Stuckenschmidt	Lecture / Practical exercises	Fall	6
IE 650	Semantic Web Technologies	Prof. Dr. Paulheim	Lecture / Practical exercises	Fall	6
IE 661	Text Analytics	Prof. Dr. Ponzetto / Prof. Dr. Glavaš	Lecture / Practical exercises	Fall	6
IE 663	Information Retrieval and Web Search	Prof. Dr. Glavaš	Lecture / Practical exercises / Student project	Spring	3+3
IE 670	Web Data Integration	Prof. Dr. Bizer	Lecture / Practical exercises / Student project	Fall	3+3
IE 671	Web Mining	Prof. Dr. Ponzetto	Lecture / Practical exercises / Student project	Spring	3+3
IE 672	Data Mining II	Prof. Dr. Paulheim	Lecture / Practical exercises / Student project	Spring	6
CS 647	Image Processing	Prof. Dr.-Ing. Margret Keuper	Lecture / Practical exercises / Student project	Fall	6
CS 646	Higher Level Computer Vision	Prof. Dr.-Ing. Margret Keuper	Lecture / Practical exercises / Student project	Spring	6
IE 673	Data Mining and Matrices	Prof. Dr. Gemulla	Lecture / Practical exercises		6
IE 674	Hot Topics in Machine Learning	Prof. Dr. Gemulla	Lecture / Practical exercises	Spring	6
IE 675	Machine Learning	Prof. Dr. Rainer Gemulla	Lecture / Practical exercises	Fall	6
IE 676	Network Analysis	Prof. Dr. Stuckenschmidt	Lecture / Practical exercises	Fall	6
IE 689	Relational Learning	Prof. Dr. Stuckenschmidt / Dr. Meilicke	Lecture / Practical exercises	Fall	6
IS 514	Process Mining and Analytics	Prof. Dr. Van der Aa, Prof. Dr. Rehse (BWL)	Lecture / Practical exercises	Fall	6
IE 677	Advanced Process Mining	Prof. Dr. Van der Aa	Lecture / Practical Exercises	Spring	6
TP	Team Project	Bizer, Paulheim, Stuckenschmidt	Project Seminar	Fall / Spring	12
CS 704	Social Simulation Seminar	Prof. Dr. Stuckenschmidt	Seminar	Spring	4
CS 707	Data and Web Science Seminar	Prof. Dr. Gemulla	Seminar	Fall / Spring	4
CS 709	Text Analytics Seminar	Prof. Dr. Ponzetto	Seminar	Fall / Spring	4
CS 710	Selected Topics in Data Science Seminar	Prof. Dr. Paulheim	Seminar	Spring	4
CS 715	Large-Scale Data Integration Seminar	Prof. Dr. Bizer	Seminar	Spring	4
CS 717	Seminar on Computer Vision	Prof. Dr.-Ing. Margret Keuper	Seminar	Fall/Spring	4
CS 718	AI in Fiction and Society Seminar	Prof. Dr. Paulheim	Seminar	Fall	4
CS 719	Process Analysis Seminar	Prof. Dr. Van der Aa	Seminar	Fall/Spring	4

All Master's level courses are taught in English.

Courses for Bachelor Candidates

Title	Lecturer	Type	Semester	Language	ECTS
Wirtschaftsinformatik II/IV	Prof. Dr. Stuckenschmidt	Lecture / Practical exercises	Spring	German	6
Praktische Informatik II	Prof. Dr. Gemulla	Lecture / Practical exercises	Spring	German	6
Einführung in Data Science	Prof. Dr. Ponzetto	Lecture / Practical exercises	Fall	English	6
Künstliche Intelligenz	Dr. Christian Meilicke	Lecture / Practical exercises	Fall	German	6
Wirtschaftsinformatik für BaKuWis	Prof. Dr. Bizer / Prof. Dr. Ponzetto	Lecture / Practical exercises	Fall	German
Wirtschaftsinformatik für WiPäds	Prof. Dr. Bizer / Prof. Dr. Ponzetto	Lecture / Practical exercises	Spring	German
Seminar	Prof. Dr. Stuckenschmidt	Academic talks	Fall / Spring
Data and Web Science Seminar	Prof. Dr. Gemulla	Seminar	Fall / Spring	English	5

Courses for PhD Candidates

Title	Lecturer	Type	Semester	Language	ECTS
Colloquium	Prof. Dr. Stuckenschmidt / Prof. Dr. Bizer / Prof. Dr. Gemulla / Prof. Dr. Paulheim / Prof. Dr. Ponzetto	Akademic talks and dicussion	Fall / Spring
Computational Text Analysis	Dr. Federico Nanni	Lecture / Practical Exercises	Fall	English	6