| Foundations of Machine Learning | Lecturer |
| Deep Learning | Zell |
| | |
| Diverse Topics in Machine Learning - Lectures | |
| Data Literacy | Hennig |
| Mathematics for Machine Learning | Pons Moll |
| Self-Driving Cars | Geiger |
| Medical Data Science | Pfeifer |
Data Mining and Probabilistic Reasoning | Kasneci |
| Advanced Probabilistic Machine Learning - Modeling and Applications | De Bacco |
| Convex and Nonconvex Optimization | Ochs |
| Introduction to Game Theory with Application to Multi-Agent Systems | Maghsudi |
| Beyond Fairness: a Socio-Technical view of Machine Learning | Williamson | |
| | |
Diverse Topics in Machine Learning - Seminars | |
| Advanced Topics in Computer Graphics and Computer Vision | Lensch |
| Current Topics in Deep Neural Networks | Zell |
Machine Learning for Health | Pfeifer |
| Explainable Machine Learning | Akata |
| Machine Learning Methods for Scientific Discovery | Macke |
| Learning with Limited Labeled Data | Akata |
| Machine Learning for Renewable Energy Systems | Ludwig |
| Machine Learning for Medical Image Analysis | Baumgartner/Koch |
Recent Advances in Recurrent Neural Networks | Butz |
| 3D Vision | Geiger |
| | |
| Diverse Topics in Machine Learning - Practical Sessions | |
| Mobile Robots (in English) | Zell |
| | |
| General Computer Science - Lectures (incomplete) | |
| Foundations of Robotics (in English) | Zell |
| Artificial Intelligence (in English) | Zell |
