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 |
| 21.02.2023 | Introduction, Robust fitting | No exercise session |
| 28.02.2023 | Global Optimization I | Ex1 out |
| 07.03.2023 | Global Optimization II | Ex2 out |
| 14.03.2023 | Representation and Approximation, Dimensionality Reduction | Ex1 due |
| 21.03.2023 | Markov Random Fields and Graph-cuts | Ex2 due - Ex3 out |
| 28.03.2023 | Space Transformations | Q&A |
| 04.04.2023 | Optimal Transport | Ex3 due - Ex4 out |
| 11.04.2023 | No lecture (Easter break) | - |
| 18.04.2023 | Variational Methods I | Q&A |
| 25.04.2023 | Variational Methods II | Ex4 due - Ex5 out |
| 02.05.2023 | Deep Learning I | Q&A |
| 09.05.2023 | Deep Learning II | Ex5 due - Ex6 out |
| 16.05.2023 | Deep Learning III | Q&A |
| 23.05.2023 | Guest Lecture: Rajesh Sharma - Differentiable Rendering | Q&A |
| 30.05.2023 | Deep Learning IV: Diffusion models | Ex6 due |