Teaching

E. Chouzenoux Advanced Machine Learning, 3rd year course, CentraleSupélec 18 hours
Foundations of Distributed and Large Scale Computing, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School, M.Sc. in Vision and Machine Learning, ENS Paris-Saclay, and M.Sc. in Optimization, Univ. Paris Saclay 26 hours
F. Malliaros Mathematical Modeling of Propagation Phenomena – Propagation on Graphs, 1st year course, CentraleSupélec 15 hours
Introduction to Machine Learning, 2nd year course, CentraleSupélec 33 hours
Machine Learning, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School and M.Sc. in Artificial Intelligence, CentraleSupélec 27 hours
Network Science Analytics, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School and M.Sc. in Artificial Intelligence, CentraleSupélec 24 hours
J.-C. Pesquet Advanced course on Optimization, 2nd year course, CentraleSupélec 33 hours
Introduction to Optimization, M.Sc. in Vision and Machine Learning, ENS Paris-Saclay 6 hours
H. Talbot Discrete Optimisation, 2nd year course, CentraleSupélec 30 hours
Big Data, Techniques and Platforms, M.Sc in Data Science and Business Analytics, CentraleSupélec and ESSEC Business School 30 hours
Optimisation for AI, M.Sc in AI, CentraleSupélec and ESSEC Business School 30 hours
M. Vakalopoulou Observing the Earth for our environment and security, 1st year course, CentraleSupélec 25 hours
Introduction to Machine Learning, 2nd year course, CentraleSupélec 33 hours
Introduction to Visual Computing, 3rd year course, CentraleSupélec 25 hours
Introduction to Deep Learning, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School and M.Sc. in Artificial Intelligence, CentraleSupélec 24 hours
Deep Learning in Medical Imaging, M.Sc. in Vision and Machine Learning, ENS Paris-Saclay 25 hours