Differences

This shows you the differences between two versions of the page.

--- curriculum [2025/10/29 13:59] – director-llga
+++ curriculum [2026/09/09 07:51] (current) – [Period 2] director-llga
@@ Line 3: / Line 3: @@
 ===== MASTER 1  (M1) =====
-Mandatory:
+Two refresher courses:
   * Refresher in Statistics (APM_51438_EP, Marine Le Morvan, Inria)
   * Refresher in Computer Science (CSC_51440_EP, Amal Dev Parakkat, Telecom Paris)
@@ Line 16: / Line 16: @@
 courses among:
-  * Deep Learning (Recommended option, CSC_51054_EP, Michalis Vazirgiannis and Johannes Lutzeyer, EP)
+  * Deep Learning (Recommended option, CSC_51054_EP, Michalis Vazirgiannis, Johannes Lutzeyer and Ye Zhu, EP)
   * Signal Processing (Recommended option, APM_51055_EP, Rémi Flamary, EP)
   * Emerging Subjects in Machine Learning and Collaborative Learning (Recommended option, APM_51178_EP, Aymeric Dieleveut and El Mahdi El Mhamdi, EP)
@@ Line 23: / Line 23: @@
   * Topological Data Analysis (CSC_51056_EP, Steve Oudot, EP & Inria)
   * Digital Representation and Analysis of Shapes (CSC_51074_EP, Mathieu Desbru and Pooran Memari, EP & Inria)
-  * Probability Theory for ML: Applications to Monte Carlo Methods and Generative Models (APM_51056_EP, Alain Durmus, EP)
   * DataBase Management System (CSC_51053_EP, Loana Manolescu, Inria)
-  * Statistical Learning Theory (APM_51059_EP, Karim Lounici, EP)
 + Mandatory non-scientific courses:
@@ Line 44: / Line 42: @@
 course among:
   * Multimodal Generative AI (Recommended option, CSC_52002_EP, Vicky Kalogeiton, EP)
-  * Statistics in Action (Recommended option, APM_52066_EP, Zacharie Naulet, EP & INRAE)
   * Deep Learning (Recommended option, APM_52183_EP, Kevin Scaman)
   * Computational Optimal Transport for ML and Fairness (Recommended option, Rémi Flamary, EP)