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-2021

    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
    • Wegmann Daniel
    Teachers
    • Wegmann Daniel
    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.
    Softskills Yes
    Off field Yes
    BeNeFri Yes
    Mobility Yes
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    20.09.2021 08:15 - 10:00 Cours PER 04, Room 0.110
    20.09.2021 09:15 - 12:00 Cours PER 04, Room 0.109
    20.09.2021 13:15 - 18:00 Cours PER 04, Room 0.110
    22.09.2021 09:15 - 12:00 Cours PER 04, Room 0.110
    22.09.2021 13:15 - 18:00 Cours PER 04, Room 0.109
    27.09.2021 09:15 - 12:00 Cours PER 04, Room 0.109
    27.09.2021 13:15 - 18:00 Cours PER 04, Room 0.110
    29.09.2021 09:15 - 12:00 Cours PER 04, Room 0.110
    29.09.2021 13:15 - 18:00 Cours PER 04, Room 0.109
  • Assessments methods

    Written exam

    Assessments methods By rating
    Descriptions of Exams

    Written exam (90 min.) during the semester. One mark
  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
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    Paquet indépendant des branches > Specialized courses in Biology (Master level)
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    Profils > Archeology > Archeology > Module 10 : Soft Skills
    Biology [3e cycle]
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    MSc in Bioinformatics and Computational Biology [MA] 120
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    MSc in Bioinformatics and computational biology, courses > MSc-BI, Module “Computer Science” (from AS2023 on)
    MSc in Environmental Biology, option Applied Environmental Biology 120 [MA]
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    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]
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    MSc in Molecular Life and Health Sciences, option Biochemistry and Cell Biology 120 [MA]
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    MSc in Molecular Life and Health Sciences, option Teaching 90 [MA]
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    MSc in Molecular Life and Health Sciences, option Teaching, lectures and seminars (from AS2021 on) > MSc-ML, option Teaching, compulsory courses (from AS2023 on)
    Ma - Data Analytics & Economics - 90 ECTS
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    Courses min 63 ECTS > Mandatory Modules (45 to 63 ECTS) > Module I: Data Analytics (Data)