Introduction to R

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Biology
    Code UE-SBL.30001
    Languages English
    Type of lesson Cours bloc
    Level Master
    Semester SA-2022

    Title

    French Introduction à R
    German Einführung in R
    English Introduction to R

    Schedules and rooms

    Summary schedule Monday , Cours bloc (Autumn semester)
    Struct. of the schedule cours bloc
    Contact's hours 24

    Teaching

    Responsibles
    Teachers
    Description

    This course introduces the basic usage of the statistical programming language R. The focus will be on data structures (vectors, matrices and data frames), import / export of data, basic plotting, writing of functions and scripts for reproducible data analysis. The course will be largely “hands-on” and does not require any prior knowledge on R.

    Comments

    Attention:

    The course SBL.30001 will start at 10.15 on Sept 19th 2022 (Campus Pérolles, Bd de Pérolles 90 - building 21, room C130).

    Welcome Event for the new students Masters in Bioinformatics and Computational Biology at 8.15 am in the same room (Campus Pérolles, Bd de Pérolles 90 - building 21, room C130).

    Softskills
    Yes
    Off field
    Yes
    BeNeFri
    Yes
    Mobility
    Yes
    UniPop
    No
  • Dates and rooms

    Attention:

    The course SBL.30001 will start at 10.15 on Sept 19th 2022 (Campus Pérolles, Bd de Pérolles 90 - building 21, room C130).

    Welcome Event for the new students Masters in Bioinformatics and Computational Biology at 8.15 am in the same room (Campus Pérolles, Bd de Pérolles 90 - building 21, room C130).

    Date Hour Type of lesson Place
    19.09.2022 08:15 - 12:00 Cours PER 21, Room C130
    19.09.2022 13:15 - 17:00 Cours PER 21, Room F130
    21.09.2022 08:15 - 12:00 Cours PER 21, Room G140
    21.09.2022 13:15 - 17:00 Cours PER 21, Room C120
    23.09.2022 13:15 - 17:00 Cours PER 21, Room G230
    26.09.2022 08:15 - 12:00 Cours PER 21, Room C130
    26.09.2022 13:15 - 17:00 Cours PER 21, Room F130
    28.09.2022 08:15 - 12:00 Cours PER 21, Room G140
    28.09.2022 13:15 - 17:00 Cours PER 21, Room C120
    30.09.2022 13:15 - 17:00 Cours PER 21, Room G230
  • Assessments methods

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

    Date 16.02.2023 13:00 - 14:30
    Assessments methods By rating
    Descriptions of Exams

    Written exam (90 min) during the exam session. One mark. To access the exam, the exercises corresponding to the course must have been successfully completed, according to criteria communicated at the beginning of the course

  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Biology (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 Biology (Master level)

    Biology [3e cycle]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Biology (Master level)

    Biology [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Biology (Master level)

    MSc in Bioinformatics and Computational Biology [MA] 120
    Version: 2022_1/V_01
    MSc in Bioinformatics and computational biology, courses > MSc-BI, Module “Computer Science” (form AS2022 on)

    MSc in Environmental Biology, option Applied Environmental Biology 120 [MA]
    Version: 2022_1/V_01
    MSc in Environmental Biology, option Applied Environmental Biology, lectures and seminars (from AS2021 on) > MSc-EB, option Applied Environmental Biology, elective courses (from AS2022 on) > Recommended courses

    MSc in Environmental Biology, option Ecology and Evolution 120 [MA]
    Version: 2022_1/V_01
    MSc in Environmental Biology, option Ecology and Evolution, lectures and seminars (from AS2021 on) > MSc-EB, option Ecology and Evolution, elective courses (from AS2022 on) > Recommended courses

    MSc in Environmental Biology, option Plant and Microbial Sciences 120 [MA]
    Version: 2022_1/V_01
    MSc in Environmental Biology, option Plant and Microbial Sciences, lectures and seminars (from AS2021 on) > MSc-EB, option Plant and Microbial Sciences, elective courses (from AS2022 on) > Recommended courses

    MSc in Molecular Life and Health Sciences, option Biochemistry and Cell Biology 120 [MA]
    Version: 2022_1/V_01
    MSc in Molecular Life and Health Sciences, option Biochemistry and Cell Biology, lectures and seminars (from AS2021 on) > MSc-ML, option Biochemistry and Cell Biology, compulsory courses (from AS2021 on)

    MSc in Molecular Life and Health Sciences, option Developmental Biology and Regeneration 120 [MA]
    Version: 2022_1/V_01
    MSc in Molecular Life and Health Sciences, option Developmental Biology and Regeneration, lectures and seminars (from AS2021 on) > MSc-ML, option Developmental Biology and Regeneration, compulsory courses (from AS2021 on)

    MSc in Molecular Life and Health Sciences, option Marine Biology 120 [MA]
    Version: 2022_1/V_01
    MSc in Molecular Life and Health Sciences, option Marine Biology, lectures and seminars (from AS2021 on) > MSc-ML, option Marine Biology, compulsory courses (from AS2021 on)

    MSc in Molecular Life and Health Sciences, option Neurobiology 120 [MA]
    Version: 2022_1/V_01
    MSc in Molecular Life and Health Sciences, option Neurobiology, lectures and seminars (from AS2021 on) > MSc-ML, option Neurobiology, compulsory courses (from AS2021 on)

    MSc in Molecular Life and Health Sciences, option Teaching 90 [MA]
    Version: 2022_1/V_01
    MSc in Molecular Life and Health Sciences, option Teaching, lectures and seminars (from AS2021 on) > MSc-ML, option Teaching, compulsory courses (from AS2021 on)

    Ma - Data Analytics & Economics - 90 ECTS
    Version: 2020/SA-v01
    Courses min 63 ECTS > Mandatory Modules (45 to 63 ECTS) > Module I: Data Analytics (Data)