Practical Applications of Digital Technology, Computing, and Mathematics
2026/01/19 – 2026/01/23
This thematic week is part of the Graduate Program Numerics.
Description
This thematic week is intended for Master’s students, engineering students, and doctoral candidates in mathematics, computer science, and data science. The week primarily focuses on the practical applications of digital sciences, computer science, and mathematics.
Schedule
Mornings: scientific presentations about AI approached from both computer science and mathematical angles
Afternoons: collaborative project work with practical and methodological guidance from one or more tutors, aimed at delving deeper into a specific topic relevant to the theme (five half-days)
| Lundi 19/01 | Mardi 20/01 | Mercredi 21/01 | Jeudi 22/01 | Vendredi 23/01 |
| 9h00-9h30 Introduction of the week | 8h00-10h00 Inverse problems in data science and deep learning (Y. Traonmilin) | 9h00-10h00 An interdisciplinary collaborative research project, bringing together digital sciences at the interface of computer science, mathematics, and medicine(B. Denis de Senneville, N. Papadakis) | 9h00-10h30 Collaborative project work | |
| –Coffee break– | –Coffee break– | –Coffee break– | –Coffee break– | |
| 10h00 – 12h00 Recommendation systems: functioning, role and impact (G. Lagarde) | 10h30-12h30 Explainable artificial intelligence (V. Bourgeais) | 9h30–11h30 Introduction to large language models (N. Fijalkow) | 10h15–11h15 An interdisciplinary collaborative research project, bringing together digital sciences at the interface of computer science, mathematics, and medicine (C. Etchegaray, O. Saut) | 10h30 – 12h30 Collaborative project work + internal presentation |
| —Lunch— | —Lunch— | —Lunch— | —Lunch— | —Lunch— |
| 13h30-17h30 Collaborative project work | 13h30-17h30 Collaborative project work | 13h30-17h30 Collaborative project work | 13h30-17h30 Collaborative project work | 14h00-16h30 Internal presentation + oral summary of the work carried out in each group |