IP Paris

Master Data AI

A Master in Computer Science at Institut Polytechnique de Paris


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            
The periods are: The vacations are: 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.