Schedule (EDT)¶
EDT means Emploi du temps == Schedule.
These schedules are TENTATIVE and subject to change. For rooms and up-to-date session-level information, see the live calendar below and the official agenda maintained by the secretary (with room information).
See also the OPTIONS page to get an overview of the 2-year organization of the master and the CLASSES page for course descriptions.
Weekly Agenda 2026–2027¶
Slots: morning 09:00–12:30, afternoon 13:30–17:00. Periods align across years: P1=P5 (Sep–Oct), P2=P6 (Nov–Dec), P3=P7 (Jan–Feb).
M1 AI¶
P1 · September–October¶
| Time | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 09:00–12:30 | Opening Foundations of Agent-based systems N. Sabouret · [DKAI] |
— | — | Domain Applied Statistics A. Sclocchi, S. Rivaud, R. Ben Masseoud |
— |
| 13:30–17:00 | — | — | — | Domain Hands-on ML with scikit-learn M. Evrard |
Opening Mathematics for Data Science E. Feillet · [DKAI] |
P2 · November–December¶
| Time | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 09:00–12:30 | — | — | — | Opening High Performance Computing on multicore O. Kaya · [DIPAQ] |
Domain ML Basics 1 F. Landes |
| 13:30–17:00 | Opening Constraint Programming: Theory and Practice N. Lazaar · [DKAI] |
— | — | Domain Optimization F. Chamroukhi |
Domain / Soft History & Societal Impacts of AI K. Gerdes |
P3 · January–February¶
| Time | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 09:00–12:30 | — | — | — | — | Domain Hands-on Natural Language Processing K. Gerdes, N. Naderi |
| 13:30–17:00 | — | — | — | Domain ML Basics 2 F. Chamroukhi, A. Shilova |
Domain Creation of an AI Challenge Lisheng |
P4 · March–April¶
| Time | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 09:00–12:30 | — | — | — | Domain Speech and Language Processing K. Gerdes, M. Evrard |
Domain Deep Learning T. Gerald |
| 13:30–17:00 | — | Opening Trustworthy AI: Fairness, Bias, and Responsibility A. Popescu · [DKAI] |
— | Opening Interactive Machine Learning B. Caramiaux, J. Françoise · [HCI] |
Domain Signal Processing M. Kowalski |
M1 — not on the weekly grid: École thématique / Stage (6 ECTS, S2); soft-skill choices Innovation et Entreprenariat, Impacts Environnementaux du numérique (S2); UE libre / Anglais / Français langue étrangère.
M2 AI¶
P5 · September–October¶
| Time | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 09:00–12:30 | — | — | Domain NLP Today T. Gerald, S. Ghannay |
— | Domain
Signal Processing M2 M. Kowalski · 2026–27 only Soft skill Career Seminar contact V. Peña-Araya |
| 13:30–17:00 | Domain Data Readiness and Evaluation in AI Systems A. Popescu |
— | — | — | — |
P6 · November–December¶
| Time | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 09:00–12:30 | — | — | — | Domain From Symbolic to Neurosymbolic AI Y. Ma · [DKAI] |
Domain Information Retrieval 2 K. Gerdes · seminar |
| 13:30–17:00 | — | — | — | Domain Deep Learning for NLP N. Naderi |
Domain Reinforcement Learning L. Mathelin |
P7 · January–February¶
| Time | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 09:00–12:30 | — | — | — | Domain Probabilistic Generative Models B. Delezoide |
— |
| 13:30–17:00 | — | — | — | Domain Advanced Optimization & Automated ML A. Sclocchi |
Domain Scientific Machine Learning A. Shilova |
M2 — not on the weekly grid: Stage long (30 ECTS, S2, internship); 1 soft skill of choice (3 ECTS).
Weekly planning for M1 and M2¶
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Source: the official agenda maintained by the secretary.