Introduction to Matlab I

  • Teaching

    Details

    Faculty Faculty of Humanities
    Domain Psychology
    Code UE-L25.00644
    Languages English
    Type of lesson Seminar
    Level Master
    Semester AS-2022

    Schedules and rooms

    Summary schedule Monday 10:15 - 12:00, Hebdomadaire (Autumn semester)

    Teaching

    Teachers
    • Sokhn Nayla
    Description

    In this course we will learn the following:

     1.       how to initiate variables and how to do some basic calculations with Matlab

    2.       how to generate vectors/matrices

    3.       how to retrieve elements from vectors and matrices

    4.       How to use the following common functions : 1.for loops, 2. while loops, 3. if and else, 4. switch case

    5.       how to import/save and load data

     
    Softskills No
    Off field No
    BeNeFri No
    Mobility No
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    07.11.2022 10:15 - 12:00 Cours PER 21, Room B230
    14.11.2022 10:15 - 12:00 Cours PER 21, Room B230
    21.11.2022 10:15 - 12:00 Cours PER 21, Room B230
    28.11.2022 10:15 - 12:00 Cours PER 21, Room B230
    05.12.2022 10:15 - 12:00 Cours PER 21, Room B230
    12.12.2022 10:15 - 12:00 Cours PER 21, Room B230
    19.12.2022 10:15 - 12:00 Cours PER 21, Room B230
  • Assessments methods

    Examen - AS-2022, Session d'hiver 2023

    Date 13.02.2023 10:00 - 12:00
    Assessments methods By rating, By success/failure

    Examen - SS-2023, Session d'été 2023

    Date 07.06.2023 13:00 - 15:00
    Assessments methods By rating, By success/failure

    Examen - SS-2023, Autumn Session 2023

    Date 04.09.2023 10:00 - 12:00
    Assessments methods By rating, By success/failure

    Examen - AS-2023, Session d'hiver 2024

    Date 12.02.2024 09:00 - 11:00
    Assessments methods By rating, By success/failure
  • Assignment
    Valid for the following curricula:
    Digital Neuroscience (Specialised Master) 120 [MA]
    Version: 2023_1/V_01
    sp-MSc in Digital Neuroscience, elective courses (practical courses, projects, seminars) > sp-MSc in Digital Neuroscience, elective courses (from AS2023 on)
    Italian 120
    Version: SA15_BA_ita_V01
    Soft Skills

    Italian 120
    Version: SA15_BA_ital_V02
    Soft Skills

    Psychology 30 [MA]
    Version: SA21_MA_PS_fr_de_bil_v01
    Option Clinical Neuroscience > Méthodes en neurosciences cognitives
    Option Developmental & School Psychology > Méthodes en neurosciences cognitives
    Option Work & Organisational Psychology > Méthodes en neurosciences cognitives
    Option Clinical Psychology & Health Psychology > 1 module à choix > Méthodes en neurosciences cognitives
    Psychology 30 [MA]
    Version: SA18_MA_P2_fr_de_bil_v01
    Specialisation Module > Cognitive Neuroscience > Methods in Cognitive Neuroscience (NCS B)
    Psychology 30 [MA]
    Version: SA22_MA_PS_fr_de_bil_v01
    Option Clinical Neuroscience > Méthodes en neurosciences cognitives
    Option Clinical Psychology & Health Psychology > 1 module à choix > Méthodes en neurosciences cognitives
    Option Developmental & School Psychology > Méthodes en neurosciences cognitives
    Option Work & Organisational Psychology > Méthodes en neurosciences cognitives
    Psychology 90 [MA]
    Version: SA22_MA_PA_fr_de_bil_v01
    Options > Cognitive Neuroscience > Méthodes en neurosciences cognitives
    Psychology 90 [MA]
    Version: SA21_MA_PA_fr_de_bil_v01
    Options > Cognitive Neuroscience > Méthodes en neurosciences cognitives
    sp-MSc-EBR, option Neuroscience [MA] 120
    Version: 2022_1/V_01
    sp-MSc-EBR, option Neuroscience, courses and seminars (from AS2022 on) > sp-MSc-EBR, option Neuroscience, compulsory courses (from AS2022 on)