This shows the planned schedule of the lectures and exercies, and will be updated in accordance to the actual course schedule throughout the semester. The information in this page is subject to change and should not be construed as a commitment.
| Date | Class | Exercise Session |
| 18.02.2025 | Introduction & Robust Fitting and Optimization | No exercise session |
| 25.02.2025 | Dimensionality Reduction | Ex1 out |
| 04.03.2025 | Optimization Review | Q&A |
| 11.03.2025 | Branch and Bound | Ex1 due - Ex2 out |
| 18.03.2025 | Markov Random Fields and Graph-cuts | Q&A |
| 25.03.2025 | Space Transformations | Ex2 due - Ex3 out |
| 01.04.2025 | Optimal Transport | Ex4 out |
| 08.04.2025 | Variational Methods | Ex3 due |
| 15.04.2025 | Deep Learning I | Ex4 due |
| 22.04.2025 | No lecture (Easter break) | - |
| 29.04.2025 | Sampling | Ex5 out |
| 06.05.2025 | Deep Learning II | Q&A |
| 13.05.2025 | Deep Learning III | Ex5 due - Ex6 out |
| 20.05.2025 | Guest Lecture | Q&A |
| 27.05.2025 | Guest Lecture | Ex6 due |