Master 2025/2026

Optimal Transport and Its Applications

Type: Elective course (Math of Machine Learning)

Delivered by: School of Data Analysis and Artificial Intelligence

Where: Faculty of Computer Science

Open to: students of one campus

Instructors: Quentin Paris

Language: English

Contact hours: 40

Course Syllabus

Abstract

This course introduces students to the fundamental concepts of optimal transport theory and its wide range of applications in various fields such as economics, machine learning, image processing, and statistics. Through a combination of theoretical lectures and practical exercises, participants will gain both conceptual understanding and hands-on experience with this powerful mathematical framework.