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 |
| 20.02.2024 | Introduction & Robust Fitting and Optimization | No exercise session |
| 27.02.2024 | Optimization Review | Ex1 out |
| 05.03.2024 | Dimensionality Reduction | Q&A |
| 12.03.2024 | Branch and Bound | Ex1 due - Ex2 out |
| 19.03.2024 | Markov Random Fields and Graph-cuts | Ex3 out |
| 26.03.2024 | Space Transformations | Ex2 due |
| 02.04.2024 | No lecture (Easter break) | - |
| 09.04.2024 | Optimal Transport | Ex3 due - Ex4 out |
| 16.04.2024 | Variational Methods | Q&A |
| 23.04.2024 | Sampling | Ex4 due - Ex5 out |
| 30.04.2024 | Deep Learning I | Q&A |
| 07.05.2024 | Deep Learning II | Ex5 due - Ex6 out |
| 14.05.2024 | Deep Learning III | Q&A |
| 21.05.2024 | Guest Lecture | Q&A |
| 28.05.2024 | Guest Lecture | Ex6 due |