Teaching

Our Philosophy
The Department of Sports Analytics sits at the dynamic cross-section of Informatics, Mathematics, and Sports Science. We're dedicated to training the next generation of sports professionals who can bridge the gap between complex data and real-world athletic problems.
In our courses, we focus on teaching students how to analyze sport using rigorous quantitative methods and educate data-literate sports scientists and data scientists in sports. We focus on developing the skills to manage, process, and interpret large-scale datasets, transforming them into strategic advantages for athletes, teams, and organizations.
Through a curriculum that blends statistical theory, programming, and deep sports knowledge, we ensure our graduates are equipped not only to understand the demands of sport but to use data as a fundamental tool for observation, evaluation, and innovation.
Courses
Winter Term 2025/26
Jun-Prof. Pascal Bauer
- I30300 Performance Analysis and Data Science (Master High Performance Sport): Link
- 11121 Evaluation von Individual- und Sozialverhalten (Bachelor Sportwissenschaften): Link
Abdelrahman Abdelsamad
- 8802 Coding Internship and Data Analysis (Master Higher Performance Sport): Link
- l10010 Advanced Statistics (Master High Performance Sport; co-teaching with PD Werner Pitsch): Link
Luis Holzhauer
- 10111 Recherchieren und Präsentieren (Bachelor Sportwissenschaften): Link
- G1010 Statistik (Master Gesundheitssport; co-teaching with PD Werner Pitsch): Link
Summer Term 2025
Jun-Prof. Pascal Bauer
- 15623Tischtennis: Link
- 11123 Messen, Beobachten und Bewerten in Sportarten und Bewegungsfeldern
Winter Term 2024/25
Jun-Prof. Pascal Bauer
- 10111 Recherchieren und Präsentieren (Bachelor Sportwissenschaften)
- 11121 Evaluation von Individual- und Sozialverhalten (Bachelor Sportwissenschaften): Link