| 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 | Machine Learning, 2nd year course, CentraleSupélec | 33 hours |
| Foundations of Machine Learning, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School, CentraleSupélec | 27 hours | |
| Machine Learning in Network Science, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School and M.Sc. in Artificial Intelligence, CentraleSupélec | 27 hours | |
| N. Ouzir | Advanced Machine Learning, M.Sc. in Data Sciences and Business Analytics, CentraleSupélec and ESSEC Business School, CentraleSupélec | 24 hours |
| J.-C. Pesquet | Introductory course on Optimization, 2nd year course, CentraleSupélec | 33 hours |
| Introduction to Optimization, M.Sc. in Vision and Machine Learning, ENS Paris-Saclay | 6 hours | |
| Advanced course on Optimization, M.Sc. in Signal Processing and Automatic Control, Univ. Paris-Saclay | 10 hours | |
| Convex Optimization Algorithms, M.Sc. in Optimization, Univ. Paris-Saclay | 15 hours | |
| H. Talbot | Optimisation for AI, M.Sc. in AI, CentraleSupélec and ESSEC Business School | 30 hours |
| High-Performance Computing, 2nd year course, CentraleSupélec | 12 hours | |
| Introduction to Mathematical Morphology, 3rd year course, CentraleSupélec | 12 hours | |
| Introduction to Machine Learning, M.Sc. Management of Technology | 30 hours |