- Lesson 1: Introduction
- Lesson 1: Robust Fitting
- Lesson 2: Global Optimization I
- Lesson 3: Global Optimization II
- Lesson 4: Dimensionality Reduction
- Lesson 5: Markov Random Fields and Graph-cuts
- Lesson 6: MLS & Space Transformations
- Lesson 7: Optimal Transport
- Lesson 8: Variational Methods I
- Lesson 9: Variational Methods II
- Lesson 10: Deep Learning I
- Lesson 11: Deep Learning II - GANs
- Lesson 12: Deep Learning III