Teaching

Current courses

Winter Term 17

Winter Term 2017

Title Type Semester
Key Competences for Computer Science
Dr. Johannes Fuchs
Lecture WS 2017/18
Programming Course 1 (Imperative Programming)
Dr. Johannes Fuchs
Lecture WS 2017/18
Research Seminar Data Mining & Information Visualization
Prof. Dr. Daniel Keim
Doctoral student seminar WS 2017/18
Computational Methods for Document Analysis
Jun.-Prof. Dr. Bela Gipp, Dr. Johannes Fuchs, Norman Meuschke
Lecture WS 2017/18
Information Visualization I
Dr. Alexandra Diehl, Prof. Dr. Daniel Keim
Lecture WS 2017/18
Analysis and Visualization (Exercise)
Prof. Dr. Daniel Keim
Exercise WS 2017/18
Analysis and Visualization (Exercise)
Prof. Dr. Daniel Keim
Exercise WS 2017/18
Analysis and Visualization (Exercise)
Prof. Dr. Daniel Keim
Exercise WS 2017/18
Programming Course 1 (Imperative Programming) (Exercise)
Dr. Johannes Fuchs
Exercise WS 2017/18
Programming Course 1 (Imperative Programming) (Exercise)
Dr. Johannes Fuchs
Exercise WS 2017/18
Programming Course 1 (Imperative Programming) (Exercise)
Dr. Johannes Fuchs
Exercise WS 2017/18
Programming Course 1 (Imperative Programming) (Exercise)
Dr. Johannes Fuchs
Exercise WS 2017/18
Programming Course 1 (Imperative Programming) (Exercise)
Dr. Johannes Fuchs
Exercise WS 2017/18
Programming Course 1 (Imperative Programming) (Exercise)
Dr. Johannes Fuchs
Exercise WS 2017/18
Key Competences for Computer Science (Exercise)
Dr. Johannes Fuchs
Exercise WS 2017/18
Key Competences for Computer Science (Exercise)
Dr. Johannes Fuchs
Exercise WS 2017/18
Computational Methods for Document Analysis (Exercise)
Jun.-Prof. Dr. Bela Gipp, Dr. Johannes Fuchs
Exercise WS 2017/18
Information Visualization I (Exercise)
Prof. Dr. Daniel Keim, Dr. Alexandra Diehl
Exercise WS 2017/18
Analysis and Visualization
Prof. Dr. Daniel Keim
Lecture WS 2017/18
Applications for Powerwall and Virtual Reality Environments
Juri Buchmüller, Prof. Dr. Daniel Keim
Lecture/Practical course WS 2017/18
Data Mining: Basic Concepts
Dr. Johannes Fuchs, Prof. Dr. Daniel Keim
Lecture WS 2017/18
Data Mining: Basic Concepts (Exercise)
Prof. Dr. Daniel Keim, Dr. Johannes Fuchs
Exercise WS 2017/18
Data Mining: Basic Concepts (Exercise)
Prof. Dr. Daniel Keim, Dr. Johannes Fuchs
Exercise WS 2017/18
Data Mining and Visualization
Michael Blumenschein, Prof. Dr. Daniel Keim
Seminar WS 2017/18

Past courses

Summer Term 17

Winter Term 16/17

Summer Term 16

Student projects

If you are  interested in Bachelor or Master projects or  thesis topics please contact any group member or Prof. Dr. Falk Schreiber. We have a range of potential projects related to our research topics and are always open to suggestions for new topics. We also do projects together with colleagues from Biology and Chemistry for students from the life sciences who have a strong interest in computational and/or modelling approaches.