Foundation of informatics

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Digital Neuroscience
    Code UE-SDN.00002
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SA-2023

    Schedules and rooms

    Summary schedule Monday 10:15 - 12:00, Hebdomadaire (Autumn semester)
    Struct. of the schedule 2h during 14 weeks
    Contact's hours
    		28

    Teaching

    Responsibles
    • Lalanne Denis
    Teachers
    • Teran Tamayo Luis Fernando
    Description

    The course Foundations of informatics (SDN.00002) aims at providing the student with some of the fundamental topics to best understand and utilize digital tools. The main topics  include computer and network architecture, classical logics, Boolean operators, algorithm design, data structures, and information theory.

     
    Training objectives

    Students from all backgrounds will receive the foundations for a proficient utilization of computational resources, particularly with a focus towards data processing and analysis.
    Softskills No
    Off field No
    BeNeFri No
    Mobility No
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    18.09.2023 10:15 - 12:00 Cours PER 21, Room G314
    25.09.2023 10:15 - 12:00 Cours PER 21, Room G314
    02.10.2023 10:15 - 12:00 Cours PER 21, Room G314
    09.10.2023 10:15 - 12:00 Cours PER 21, Room F205
    16.10.2023 10:15 - 12:00 Cours PER 21, Room F205
    23.10.2023 10:15 - 12:00 Cours PER 21, Room F205
    30.10.2023 10:15 - 12:00 Cours PER 21, Room F205
    06.11.2023 10:15 - 12:00 Cours PER 21, Room F205
    13.11.2023 10:15 - 12:00 Cours PER 21, Room F205
    20.11.2023 10:15 - 12:00 Cours PER 21, Room F205
    27.11.2023 10:15 - 12:00 Cours PER 21, Room F205
    04.12.2023 10:15 - 12:00 Cours PER 21, Room F205
    11.12.2023 10:15 - 12:00 Cours PER 21, Room F205
    18.12.2023 10:15 - 12:00 Cours PER 21, Room F205
  • Assessments methods

    Written exam - SA-2023, Session d'hiver 2024

    Date 30.01.2024 10:00 - 12:00
    Assessments methods By rating
  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Digital Neuroscience (Master level)
    Digital Neuroscience (Specialised Master) 120 [MA]
    Version: 2023_1/V_01
    sp-MSc in Digital Neuroscience, compulsory courses (practical courses, projects, seminars) > sp-MSc in Digital Neuroscience, compulsory courses (from AS2023 on)
    Digital Society 30 [MA]
    Version: SA23_MA_P2_en_V01
    DSS 1 - Interdisciplinary perspectives on digital transformation of society