List of Courses for the Master ML in the Wintersemester 2020/2021 (Foundations of ML and Diverse Topics in ML)
| Foundations of Machine Learning | Lecturer |
| Deep Learning | Geiger |
| Diverse Topics in Machine Learning - Lectures | |
| Data Literacy | Hennig |
| Mathematics for Machine Learning | Luxburg |
| Convex and nonconvex Optimization | Hein |
| Medical Data Science | Pfeifer |
Kasneci | |
| Reinforcement Learning | Martius |
| Time Series | Tronarp |
| Introduction to Game Theory with Application to Multi-Agent Systems | Maghsudi |
Diverse Topics in Machine Learning - Seminars | |
| Advanced Artifical Neural Nets | Butz |
| Advanced Topics in Computer Graphics and Computer Vision | Lensch |
| Optimization in Deep Neural Networks | Zell |
Eggeling/Pfeifer | |
| Explainable Machine Learning | Akata |
| Machine Learning Methods for Scientific Discovery | Macke |
| Machine Learning and Artificial Neural Networks in Biomedical Applications | Nagel |
| 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 |
The lectures where there is a note "in English" have a German title on the webpage but are given in English. All other lectures are in English anyway.
Course lists of previous semesters: