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Mathematics
The master degree in Mathematics of "Université de Lorraine" is organized into tracks.
The track MFA (Fundamental and Applied Mathematics) is research oriented, and offered as a complement to the "SDI/Metz mention".
Warning : You can make your decision and register for this master at the beginning of the scholar year, in september.
Courses adaptation
In green the CS courses that provides you with a score for the master and the master courses that provides you with a score for CS. In red, the courses that you will not attend if you are attending the master. Uncolored courses are those that you will attend for CentraleSupélec only.
CentraleSupelec Courses | Master Courses |
---|---|
Machine Learning | UE1 |
Statistical Models | UE2 |
Reinforcement learning | UE3 |
Statistical learning theory | |
Sparse models | |
Deep Learning | |
Stochastic Algorithms | |
Advanced C++ Programming | |
Computational models of big data | |
GPU programming | |
Software Application Engineering | |
Sound processing | |
Image processing | |
Natural language processing | |
CEI (final project)/PFE (final project) | |
The SAE project "Tweetoscope" | |
Filière Recherche | |
Filière Innovation et Intrapreunariat | |
Training period |