Systèmes concurrents et distribués

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.05022
    Languages French
    Type of lesson Lecture
    Level Bachelor
    Semester AS-2024

    Title

    French Systèmes concurrents et distribués
    German Konkurrierende und verteilte Systeme
    English Concurrent and distributed computing

    Schedules and rooms

    Summary schedule Friday 09:15 - 12:00, Hebdomadaire, PER 21, Room F130 (Autumn semester)
    Struct. of the schedule 2 + 2h par semaine durant 14 semaines
    Contact's hours 56

    Teaching

    Responsibles
    • Cudré-Mauroux Philippe
    Teachers
    • Felber Pascal
    Assistants
    • Gourraud-Zawislak Yann Marek Stanley
    Description

    Nous aborderons dans ce cours quelques-uns des problèmes principaux en programmation répartie (élection d'un leader, exclusion mutuelle, temps logique et synchronisation, algorithmes de graphe, communication de groupe, consensus, etc.) en version répartie.

    Les paradigmes de programmation concurrente et répartie seront abordés et illustrés par la mise en oeuvre d’algorithmes, principalement dans le langage Erlang.

    Le cours se compose d'une partie théorique (cours et exercices), ainsi que d’une partie pratique (exercices et mini projet, réalisés dans un environnement réparti).

    Pré-requis: une très bonne connaissance d’un langage de programmation, tel C ou Java. Une introduction à Erlang (un langage de programmation concurrent et fonctionnel) sera donnée.

    Training objectives Maîtrise au niveau implémentation et utilisation des primitives de base de la programmation concurrente et initiation aux systèmes répartis (au niveau système et algorithmique).
    Comments

    Les unités d’enseignement se composent généralement de deux heures de cours et deux heures d’exercices par semaine. Nous vous prions de bien vouloir vous conformer aux délais d’inscriptions aux épreuves de la Faculté des sciences et de médecine.

    Softskills No
    Off field No
    BeNeFri Yes
    Mobility Yes
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    20.09.2024 09:15 - 12:00 Cours PER 21, Room F130
    27.09.2024 09:15 - 12:00 Cours PER 21, Room F130
    04.10.2024 09:15 - 12:00 Cours PER 21, Room F130
    11.10.2024 09:15 - 12:00 Cours PER 21, Room F130
    18.10.2024 09:15 - 12:00 Cours PER 21, Room F130
    25.10.2024 09:15 - 12:00 Cours PER 21, Room F130
    08.11.2024 09:15 - 12:00 Cours PER 21, Room F130
    22.11.2024 09:15 - 12:00 Cours PER 21, Room F130
    29.11.2024 09:15 - 12:00 Cours PER 21, Room F130
    06.12.2024 09:15 - 12:00 Cours PER 21, Room F130
    13.12.2024 09:15 - 12:00 Cours PER 21, Room F130
    20.12.2024 09:15 - 12:00 Cours PER 21, Room F130
  • Assessments methods

    Written exam - AS-2024, Session d'hiver 2025

    Assessments methods By rating
    Descriptions of Exams

    Selon modalité A de l'annexe du plan d'études en informatique

    Requirements

    Give in 6 series of exercises and project

    Comment

    Closed book exam

  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Advanced courses in Computer Science (Bachelor level)

    Additional Programme Requirements to the MSc in Bioinformatics and Computational Biology [MA]
    Version: 2022_1/V_01
    Additional Programme Requirements to the MSc Bioinformatics and Computational Biology > Advanced courses in Computer Science (Bachelor level)

    Additional Programme Requirements to the MSc in Computer Science [MA]
    Version: 2022_1/V_01
    Supplement to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)

    Additional Programme Requirements to the MSc in Digital Neuroscience [MA]
    Version: 2023_1/V_01
    Supplement to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)

    Additional TDHSE programme in Computer Science
    Version: 2022_1/V_01
    Additional TDHSE Programme Requirements for Computer Science 60 or +30 > Programmes 60 or +30 > Additional Programme Requirements to Computer Science 60 > Additional TDHSE programme for Computer Science 60 (from AS2020 on)

    Ba - Business Informatics - 180 ECTS
    Version: 2020-SA_V02
    3nd year 60 ECTS > 3rd year courses > Cours obligatoires / Pflichtkurse 32.5 ECTS > Systèmes concurrents et distribués

    Computer Science 120
    Version: 2022_1/V_01
    BSc in Computer science, Major, 2nd-3rd year > Computer Science 2nd and 3th year (from AS2021 on)

    Computer Science 30
    Version: 2022_1/V_01
    Minor in Computer science 30 > Computer Science, Minor 30 or 60 ECTS elective (from AS2019 on)

    Computer Science 60
    Version: 2022_1/V_01
    Minor in Computer Science 60 > Computer Science, Minor 30 or 60 ECTS elective (from AS2019 on)

    Computer Science 50 [BSc/BA SI]
    Version: 2022_1/V_01
    BSc_SI/BA_SI, Computer science 50 ECTS, 1st-3rd years > BSc_SI/BA_SI, Computer Science, 2nd-3rd years, elective courses for 50 ECTS (from AS2020 on)

    Computer Science [3e cycle]
    Version: 2015_1/V_01
    Continuing education > Advanced courses in Computer Science (Bachelor level)

    Computer Science [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Advanced courses in Computer Science (Bachelor level)

    Computer Science [TDHSE] 60
    Version: 2022_1/V_01
    Minor in Computer Science (TDHSE) 60 > Computer Science, Minor TDHSE 60 ECTS elective (from SA2021 on)

    Pre-Master-Programme to the MSc in Bioinformatics and Computational Biology [PRE-MA]
    Version: 2022_1/V_01
    Prerequisite to the MSc in Bioinformatics and Computational Biology > Advanced courses in Computer Science (Bachelor level)

    Pre-Master-Programme to the MSc in Computer Science [PRE-MA]
    Version: 2022_1/V_01
    Prerequisite to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)

    Pre-Master-Programme to the MSc in Digital Neuroscience [PRE-MA]
    Version: 2023_1/V_01
    Pre-Master-Programme to the MSc in Digital Neuroscience > Advanced courses in Computer Science (Bachelor level)