Programming with R

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Biochemistry
    Code UE-SBC.07109
    Languages English
    Type of lesson Cours bloc
    Level Master
    Semester SA-2022

    Title

    French Programmation avec R
    German Programmieren mit R
    English Programming with R

    Schedules and rooms

    Summary schedule Monday , Cours bloc (Autumn semester)
    Contact's hours 16

    Teaching

    Responsibles
    Teachers
    Description

    This course introduces advanced topics in R programming, with a focus on S3 classes and R packages. The course will be largely “hands-on”. Basic knowledge of R as taught in SBC.07108 is required.

    Condition of access

    Obligatory for Bioinformatics, elective for Biology

    Softskills
    No
    Off field
    No
    BeNeFri
    Yes
    Mobility
    Yes
    UniPop
    No
  • Dates and rooms
    Date Hour Type of lesson Place
    03.10.2022 08:15 - 12:00 Cours PER 21, Room F207
    03.10.2022 13:15 - 17:00 Cours PER 21, Room F130
    05.10.2022 08:15 - 12:00 Cours PER 21, Room C130
    05.10.2022 13:15 - 17:00 Cours PER 21, Room C130
    07.10.2022 13:15 - 17:00 Cours PER 21, Room E130
  • Assessments methods

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

    Date 16.02.2023 15:30 - 16:15
    Assessments methods By rating
    Descriptions of Exams

    Written exam (45 min) during the exam session. One mark is given. 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 Biochemistry (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 Biochemistry (Master level)

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

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

    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)