teaching

Course materials, schedules, and resources for classes taught.

2025

Frugal AI

2024-2025 David Cornu (course assistant - Gregory Sainton)

Hands-on course on efficient and low-cost AI, covering computational optimization of matrix operations (Python, C, GPU) and neural network compression techniques. Part of the PSL Week programme.

2022

Earth Data Science

Antoine Lucas & Alexandre Fournier, Nobuaki Fuji, Grégory Sainton

This course covers the foundational aspects of data science, including data collection, cleaning, analysis, and visualization. Students will learn practical skills for working with real-world datasets oriented on earth data (seismic data, Lidar data, satellite images…)

2021

Earth Data Science

Antoine Lucas & Alexandre Fournier, Nobuaki Fuji, Grégory Sainton

This course covers the foundational aspects of data science, including data collection, cleaning, analysis, and visualization. Students will learn practical skills for working with real-world datasets oriented on earth data (seismic data, Lidar data, satellite images…)

Git Crash course

2019-2021 Grégory Sainton

This course covers the foundational aspects of Git, from create a repository, push/pull your codes and work with collaborators