Program Overview

Program Overview

The Master MIND program at Sorbonne Université offers a comprehensive curriculum that includes various courses and specializations. The program is designed to provide students with a deep understanding of recent concepts in deep learning and their applications in scientific modeling.

Course Structure

The program includes two main course levels: M1 and M2. The M1 level offers courses such as:

• DALAS
• IAMSI
• IDLE
• LRC
• MAPSI
• ML
• MLBDA
• PMIND
• RITAL
• SAM

The M2 level offers courses such as:

• ADL
• DEEP-L
• GDC
• LLM
• LSDA
• MEDS
• RL
• SACE
• XAI

Course Description: ADL - Advanced Deep Learning

The ADL course introduces recent concepts in deep learning, with a focus on generative models and AI for science. The course covers theoretical and practical aspects of recent generative models, including variational, adversarial, normalizing flow, and diffusion models. It also explores the AI4Science paradigm, discussing the role of deep learning in scientific modeling with examples from Physics-informed Machine Learning. Practical work allows students to discover applications related to these themes in various scientific domains.

Program Details

• Period: M2 S1
• Language: French
• Credits: 3 ECTS

Environment and Resources

The program utilizes a specific software environment to support practical work, which is described in detail to ensure optimal conditions for student learning.