Second year of Master's degree (MVA: Mathématiques, Vision, Apprentissage)
First semester at ENS Paris-Saclay. (Ongoing)
- PGM: Probabilistic Graphical models
- GML: Graphs in Machine Learning
- AlteGrad: Advanced learning for text and graph data.
- CO: Convex optimization (Convexity, Duality, Newton's method, Barrier method, ...)
- RL: Reinforcement learning (Policy learning, exploration/exploitation, value iteration, ...)
- RECVIS: Object recognition.
First year of Master's degree
Second semester abroad at EPFL
- BMNN: Biological modeling of neural networks (in the brain, NOT artificial neural networks)
- INLP: Comutational linguistics
- IA: Artificial intelligence (logical inference, perceptrons, genetic algorithms, ...)
- CSP: Computer security and privacy
First semester at ENS Rennes
- SGP: Processor system architecture
- ACF: Formal programming design course
- TS: Signal processing course
- BOX: Experimental bio-informatics course (SNPs, SPARQL, statistics)
- INVITE1: Statistical Machine Learning course (statistics, regression, ACP, spectral clustering, KNN, SVM, kernels)
- AA: Advanced Algorithmics course (Linear programmation, Backtracking, Branch & Bound, Complexity classes)
- XTRA: Initiation to research
Last year of Bachelor (ENS Rennes)
- PROG1: Programmation course (Ocaml, Scala, functionnal programming, OOP)
- ALGO1: Algorithmics course
- ARCSYS: Low-level system architecture course
- FOND1: Theoretical informatics course (Regular expressions, context-free grammar, Turing machine)
- IRESI: introductory networks course
- MATH1: Lebesgue integration course
- PROG2: Programmation course (C++, Lisp, Ocaml)
- ALGO2: Algorithmics course (NP-Hard problems, Approximation algorithms, Probabilistic algorithms)
- IMA: Image processing course
- MATH2: Probabilities course
- XTRA: Initiation to research
- ARCSYS2: System achitecture and networks course