Data analysis and statistics with the R programming language

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Medical Sciences
    Code UE-SME.07700
    Languages English
    Type of lesson Cours pratique
    Level Master
    Semester SA-2022

    Schedules and rooms

    Summary schedule Thursday , Cours bloc (Autumn semester)
    Struct. of the schedule Irregular schedule
    Contact's hours
    		28

    Teaching

    Responsibles
    • Bresciani Jean-Pierre
    Teachers
    • Bresciani Jean-Pierre
    Description

    The course Data analysis and statistics with the R programming language consists of two parts. The first part is an introduction to the R programming language. The second part of the course focuses on experimental design and statistical analysis, addressing the underlying concepts and presenting the main parametric and non-parametric tests used in inferential statistics.
    Comments

    Dates, rooms and lecturers: see weekly schedule «AS - MSc_EBR1 - Scheduling - » on Moodle

    For non-EBR students:
    If you have enrolled for this course, you can request the link to the corresponding Moodle and the password under this mail
    Softskills No
    Off field No
    BeNeFri Yes
    Mobility Yes
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    13.10.2022 13:15 - 16:00 Cours PER 21, Room F230
    20.10.2022 13:15 - 16:00 Cours PER 21, Room F230
    27.10.2022 13:15 - 16:00 Cours PER 21, Room F230
    03.11.2022 13:15 - 16:00 Cours PER 21, Room F230
    10.11.2022 13:15 - 16:00 Cours PER 21, Room F230
    17.11.2022 13:15 - 16:00 Cours PER 21, Room F230
    24.11.2022 13:15 - 16:00 Cours PER 21, Room F230
    01.12.2022 13:15 - 16:00 Cours PER 21, Room F230
    16.12.2022 13:15 - 16:00 Cours PER 21, Room B230
    21.12.2022 09:15 - 12:00 Cours PER 21, Room B230
    22.12.2022 13:15 - 16:00 Cours PER 21, Room F230
  • Assessments methods

    Written exam - SA-2022, Session d'hiver 2023

    Date 02.02.2023 14:00 - 15:30
    Assessments methods By rating
    Descriptions of Exams Written exam 90 min. One mark

    Written exam - SP-2023, Autumn Session 2023

    Date 05.09.2023 15:45 - 17:15
    Assessments methods By rating
    Descriptions of Exams Written exam 90 min. One mark
  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Biomedical Science (Master level)
    Additional programme requirements for PhD studies [PRE-DOC]
    Version: 2020_1/v_01
    Additional programme requirements for PhD studies (Faculty of Science and Medicine) > Specialized courses in Biomedical Science (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) > Transition for PLE 2022
    sp-MSc in Digital Neuroscience, elective courses (practical courses, projects, seminars) > sp-MSc in Digital Neuroscience, elective courses (from AS2023 on)
    MSc in Chemistry, option Core Skills, Communication and Innovation [MA] 120
    Version: 2022_1/V_01
    MSc in Chemistryoption Chemistry, Communication and Innovation, Transferrable skills module (from AS2021 on) > MSc-CH module, Transferrable skills (from AS2022 on)
    Ma - Accounting and Finance - 120 ECTS
    Version: 2024/SP_V01_DD_Caen
    UniFr courses > Modules "Data Analytics" and "Audit et Fiscalité": min. 2 courses > DAT: Data Analytics
    Ma - Accounting and Finance - 90 ECTS
    Version: 2021/SA_V01 Dès SA-2024
    Course - 72 ECTS > Modules "Data Analytics" and "Audit et Fiscalité": min. 3 courses > DAT: Data Analytics > Elective courses
    Ma - Business Communication : Business Informatics - 90 ECTS
    Version: 2020/SA_V02
    Courses - 60 ECTS > Option Group > Information Management > Cours > Modules management > DAT: Data Analytics
    Ma - Business Informatics - 90 ECTS
    Version: 2020/SA-v01
    Classes - min. 45 ECTS > Modules management - max. 15 ECTS > DAT: Data Analytics
    Ma - International and European Business - 90 ECTS
    Version: 2021/SA_v01 dès SA-2024
    Courses > Modules > One complete module taken from the following list > DAT Module validation element group > DAT: Data Analytics > Elective courses
    Courses > Modules > Elective courses of the management modules > Elective courses of the management modules > Elective courses for the Master in management
    Ma - Management - 90 ECTS
    Version: 2021/SA_v03 dès SA-2024
    Courses: min. 72 ECTS > Modules - min 54 ECTS > Minimum of 3 modules with a minimum of 18 ECTS and 2 core courses > DAT Module validation element group > DAT: Data Analytics > Elective courses
    Courses: min. 72 ECTS > Modules - min 54 ECTS > Elective courses taken outside a validating module > Elective courses in the management modules > Elective courses for the Master in management
    Ma - Marketing - 90 ECTS
    Version: 2021/V03 dès SA-2024
    Courses - 72 ECTS > Complementary module > DAT Module validation element group > DAT: Data Analytics > Elective courses
    Medical Sciences [3e cycle]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Biomedical Science (Master level)
    Medical Sciences [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Biomedical Science (Master level)
    MiMa - Business Informatics - 30 ECTS
    Version: 2020/SA_V01
    Cours > Modules management > DAT: Data Analytics
    MiMa - Gestion d'entreprise - 30 ECTS
    Version: 2021/SA_V01
    Elective courses - 30 ECTS > DAT: Data Analytics
    sp-MSc-EBR, option Infection, Inflammation and Cancer [MA] 120
    Version: 2022_1/V_01
    sp-MSc-EBR, option Infection, Inflammation and Cancer, courses and seminars (from AS2022 on) > sp-MSc-EBR, Common compulsory courses (from AS2022 on)
    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, Common compulsory courses (from AS2022 on)
    sp-MSc-EBR, option Tissue Degeneration and Regeneration [MA] 120
    Version: 2022_1/V_01
    sp-MSc-EBR, option Tissue Degeneration and Regeneration, courses and seminars (from AS2022 on) > sp-MSc-EBR, Common compulsory courses (from AS2022 on)