Deliberation

    Apprentissage automatique

    l'apprentissage automatique (Machine L earning - ML), constituent l’un des piliers les plus importants de l’intelligence artificielle (IA). Nous partons donc essentiellement de ce concept.

    Objectifs

    Ce module a pour objectif de développer les connaissances des techniques de l'apprentissage automatique, les outils qui s'y attachent, ainsi que les applications de l'apprentissage automatique dans le domaine de l'intelligence artificielle st aussi dans notre vraie vie.

    Big Data

    Représentation des Connaissances et Raisonnement

    Introduction aux Blockchain

    Meta-heuristics and Evolutionary Algorithms

    Initiation à la Recherche et Rédaction Scientifique

    Target skills:The aim of  IRRS is to introduce students to scientific research by presenting the methodology and basic rules to be mastered, and to define the procedure for understanding, evaluating and writing scientific research.

    Target audience: First year Master's degree, specializing in Artificial Intelligence. 

    Distributed Artificial Intelligence

    The objective of the course is to introduce distributed artificial intelligence to students.
    The concept of agent which is perhaps seen as an extension of the concept of object is introduced.
    The two types of agents, namely the cognitive agent which simulates human behavior and the reactive agent which simulates particles, are studied through their architecture.
    At a second level, the multi-agent system is presented through its theory, its different architectures and the  languages ​​dedicated to its implementation.