The courses are managed and scheduled by the institutions in which they take place.
Here is a schedule without guarantees.
Period |
Time of day |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
P1 |
Morning |
Knowledge Base
Construction |
Language Modeling |
Image mining and content-based retrieval |
|
Data Visualization |
P1 |
|
|
|
|
|
Robust Computer vision with deep learning, XAI, Uncertainty
quantification |
P1 |
|
|
|
|
|
Topological Data Analysis |
P1 |
|
|
|
|
|
Logics and Symbolic AI |
P1 |
|
|
|
|
|
|
P1 |
|
|
|
|
|
|
P1 |
Afternoon |
Machine Learning:
Shallow & Deep Learning |
AI Ethics |
Algorithmic information and artificial intelligence |
|
Database management systems |
P1 |
|
Machine &
DeepĀ Learning Introduction |
Introduction to
statistical learning () |
|
|
Databases |
P1 |
|
|
|
|
|
Information Theory A: Introduction (=ACCQ202) |
P1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Period |
Time of day |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
P1.5 |
Morning |
Navigation for
autonomous systems |
Machine Learning with
Graphs |
Reinforcement Learning and Autonomous Agents |
|
Programming with GPU for Deep Learning |
P1.5 |
|
|
Learning for robotics |
Representation Learning for Computer Vision and Medical Imaging |
|
Text Mining and NLP |
P1.5 |
|
|
|
Introduction to the verification of neural networks |
|
|
P1.5 |
|
|
|
|
|
|
P1.5 |
Afternoon |
Navigation for
autonomous systems |
Randomization in
Computer Science: Games, Graphs and Algorithms |
Introduction to the verification of neural networks |
|
Programming with GPU for Deep Learning |
P1.5 |
|
Computer Vision: from
Fundamentals to Applications |
Advanced Deep
Learning |
? Graph Machine and Deep Learning for Generative AI |
|
Systems for Big Data |
P1.5 |
|
|
|
|
|
|
P1.5 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Period |
Time of day |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
P2 |
Morning |
Softskills seminar |
Reinforcement
Learning |
Image mining and content-based retrieval |
|
|
P2 |
|
|
|
|
|
|
P2 |
|
|
|
|
|
|
P2 |
|
|
|
|
|
|
P2 |
Afternoon |
Explainable and
Trustworthy AI |
Language Models and
Strcutured Data |
Collective IntelligenceĀ |
|
Error correcting codes |
P2 |
|
|
|
|
|
|
P2 |
|
|
|
|
|
|
P2 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Period |
Time of day |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
P3 |
Morning |
Big Graph Databases |
Foundations of
Multi-Agent Systems Verification |
Graph Learning |
|
|
P3 |
|
|
|
|
|
|
P3 |
|
|
|
|
|
|
P3 |
|
|
|
|
|
|
P3 |
Afternoon |
Foundations of
Multi-Agent Systems Verification |
Audio and Music
Information Retrieval (AMIR) |
Large-scale Generative Models for NLP and Speech Processing |
|
|
P3 |
|
|
Logic, Knowledge
Representation and Probabilities |
|
|
|
P3 |
|
|
|
|
|
|
P3 |
|
|
|
|
|
|
Students of the second year (M2) are not concerned by the last two periods of vacation, as they usually do their internships during this time.