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 Monday Tuesday Wednesday Thursday Friday
P1 Morning Knowledge Base Construction Language Modeling Image mining and content-based retrieval   Data Visualization
          Robust Computer vision with deep learning, XAI, Uncertainty quantification
          Topological Data Analysis
          Logics and Symbolic AI
           
           
Afternoon Machine Learning: Shallow & Deep Learning AI Ethics Algorithmic information and artificial intelligence   Database management systems
  Machine & Deep Learning Introduction Introduction to statistical learning     Databases
          Information Theory A: Introduction
           
             
Period Time Monday Tuesday Wednesday Thursday Friday
P2 Morning Softskills seminar Reinforcement Learning Image mining and content-based retrieval    
           
           
           
Afternoon Explainable and Trustworthy AI Language Models and Structured Data Collective Intelligence   Error correcting codes
           
           
           
             
Period Time Monday Tuesday Wednesday Thursday Friday
P2.5 Morning Navigation for autonomous systems Machine Learning with Graphs Reinforcement Learning and Autonomous Agents   Programming with GPU for Deep Learning
    Learning for robotics Representation Learning for Computer Vision and Medical Imaging   Text Mining and NLP
      Introduction to the verification of neural networks    
           
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
  Computer Vision: from Fundamentals to Applications Advanced Deep Learning ? Graph Machine and Deep Learning for Generative AI   Systems for Big Data
           
           
             
Period Time Monday Tuesday Wednesday Thursday Friday
P3 Morning Big Graph Databases Foundations of Multi-Agent Systems Verification Graph Learning    
           
           
           
Afternoon Foundations of Multi-Agent Systems Verification Audio and Music Information Retrieval (AMIR) Large-scale Generative Models for NLP and Speech Processing    
    Logic, Knowledge Representation and Probabilities      
           
           
When courses are scheduled in the same slot, students can take only one of them. The periods are: The vacation periods 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.