Workshop in statistics and experimental design

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Biology
    Code BL.0203
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SP-2019

    Schedules and rooms

    Summary schedule thursday 14:15 - 16:00, weekly, PER 01 0.367
    Struct. of the schedule 2h par semaines durant 14 semaines
    Contact's hours 28

    Teaching

    Responsibles
    Teachers
    Description Students will learn basic and advanced techniques in statistical data analysis and they will perform exercises with data from ecological experiments. In addition, they will propose various experimental designs and discuss their advantages and disadvantages.
    Training objectives Students understand the philosophy of statistical tests and are able to solve problem oriented questions. They are able to apply classical and Monte Carlo techniques. They are introduced to carry out statistical tests with the program R.
    Softskills
    No
    Off field
    No
    BeNeFri
    Yes
    Mobility
    Yes
    UniPop
    No
  • Dates and rooms
    Date Hour Place
    21.02.2019 14:15 - 16:00 PER 01 , Room 0.367
    28.02.2019 14:15 - 16:00 PER 01 , Room 0.367
    07.03.2019 14:15 - 16:00 PER 01 , Room 0.367
    14.03.2019 14:15 - 16:00 PER 01 , Room 0.367
    21.03.2019 14:15 - 16:00 PER 01 , Room 0.367
    28.03.2019 14:15 - 16:00 PER 01 , Room 0.367
    04.04.2019 14:15 - 16:00 PER 01 , Room 0.367
    11.04.2019 14:15 - 16:00 PER 01 , Room 0.367
    18.04.2019 14:15 - 16:00 PER 01 , Room 0.367
    02.05.2019 14:15 - 16:00 PER 01 , Room 0.367
    09.05.2019 14:15 - 16:00 PER 01 , Room 0.367
    16.05.2019 14:15 - 16:00 PER 01 , Room 0.367
    23.05.2019 14:15 - 16:00 PER 01 , Room 0.367
  • Assessments methods

    Evaluation pratique

    Assessments methods By success/failure
    Descriptions of Exams Practical work
  • Assignment
    Valid for the following curricula:
    Ens. compl. en Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Biology (Master level)