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 |
| 17.02.2026 | Introduction & Robust Fitting and Optimization | No exercise session |
| 24.02.2026 | Optimization Review | Ex1 out |
| 03.03.2026 | Branch and Bound | Ex2 out |
| 10.03.2026 | Dimensionality Reduction | Ex1 due |
| 17.03.2026 | Markov Random Fields and Graph-cuts | Ex2 due |
| 24.03.2026 | Space Transformations | Ex3 out |
| 31.03.2026 | Optimal Transport | Ex4 out |
| 07.04.2026 | Ester Break | - |
| 14.04.2026 | Variational Methods | Ex5 out - Ex3 due |
| 21.04.2026 | Sampling | Ex4 due |
| 28.04.2026 | Deep Learning I | Ex5 due |
| 05.05.2026 | Deep Learning II | Ex6 out |
| 12.05.2026 | Deep Learning III | Q&A |
| 19.05.2026 | Guest Lecture | Q&A |
| 26.05.2026 | Guest Lecture | Ex6 due |