Master Informatique
Master of Science in Informatics
Directeur :  Pr. Younès Bennani
 Université Paris 13-Institut Galilée, 99 Avenue J-B. Clément -93430 Villetaneuse, France
Secrétariat : Mme Angélique Leite, Tél. : (+33) (0) 1 49 40 35 55 - Fax : (+33) (0) 1 49 40 33 66
E-mail : master.galilee [at] univ-paris13.fr

Candidatez ici


Année M2
Exploration Informatique des Données et Décisionnel (EID2)
Data Science & Machine Learning
  Responsables : Pr. Younès Bennani &  Dr. Basarab Matei
  
Anciennes promotions EID2 (depuis 2001)  Conseil de perfectionnement 		Année M2

Programmation et Logiciels Sûrs (PLS)
Programming Tools and Safety
Responsable : Dr. Pierre Boudes


Master of Science in Informatics at Paris 13 University
Speciality: Programming Tools and Safety


 
The specialty PLS aims to provide students with the basic elements allowing them to work in the computer business or start research in a laboratory or a company.
The training provides the basic techniques related to software applications (development methodology and design, programming tools, safety, including in a web environment) while studying the basic concepts necessary (logics and interaction, automata, software specification). These may be grouped, as follows:
 
    • Fundamental courses
        • Programming Languages and Integrated Development Environment (4 ECTS)
        • Knowledge Representation (4 ECTS)
        • Numerical Methods and Data Analysis (4 ECTS)
 
·       Speciality courses
        • Advanced Functional Programming (3 ECTS)
        • Programs and Proofs (3 ECTS)
        • High Level Petri Nets (3 ECTS)
        • Complex Systems Spécification (3 ECTS)
 
·       Cultural courses
        • English (2 ECTS)
        • Intellectual property (2 ECTS)
        • Jobs in computer science (2 ECTS)
 
The electives courses may be chosen, in consultation with the student's advisor,to meet the interdisciplinary  and the speciality distribution requirements. The full list of available courses may be grouped, as follows:
 
    • Deepening courses (1 or 2 choice among the list)
        • Abstraction and Refinement (4 ECTS)
        • Logics, Interaction and Complexity (4 ECTS)
        • Adaptive Programming and Web Services (4 ECTS)
        • Infinite, Timed, Hybrid and Stochastic Systems (4 ECTS)
 
    • Complementary  courses (1 or 2 choice among the list)
        • Visual data mining (4 ECTS)
        • Speech analytics (4 ECTS)
        • Text mining (4 ECTS)
        • Time series analysis (4 ECTS)
        • Knowledge magement (4 ECTS)
        • Human-machine interaction (4 ECTS)
        • Social networks (4 ECTS)
        • Bioinformatics (4 ECTS)
 
The fourth semester is targeted to the writing of a dissertation during an internship in either a laboratory or a company.
    • Internship  (company/laboratory) (18 ECTS)