Topic outline

  • From this section you can find the overall schedule for the course and other practical information. 

    Please note: each lecture on Tuesdays (12:30-16:15) is divided into two parts: lecture itself and hands-on training. These Tuesday sessions are compulsory and you need to attend to minimum five out of six of them, in order to pass the course. Workshops on Thursdays are optional. 


    Lectures and other sessions will be given in Zoom / Teams, see Online lectures and other events -tab on the left (you need to be signed in to access it).


    Course schedule:

    WeekLecture date
    Tue at 
    12:30-14:00 @ Zoom

    14:15-16:15 @ Zoom 
    ThemeWorkshop date
    Thu at 9:30-11:30 
    @ Zoom

    Home assignment
    due
    Mondays by 23:55
    16Tue 20.4.1. Global water resources; 
      + Introduction to the course
    Thu 22.4.Mon 26.4.
    17Tue 27.4.2. Population dynamics
      + project work kick-off
    Thu 29.4.Mon 3.5.
    18Tue 4.5. 3. Land cover change and food productionThu 6.5.Mon 10.5.
    19Tue 11.5. 4. Water use

    Wed 12.5. (due to public holiday)

    Mon 17.5.
    20Tue 18.5.5. Water scarcityThu 20.5. Mon 24.5.
    21Tue 25.5.6. Socio-economics of water and foodThu 27.5.Wed 2.6.
    22Tue 1.6. Final presentation - 
    you can decide within the small groups when is the best time for presentations.
    Presentation session takes 2-3 hrs. 
    --

    ** note the change in date; time remains same



    Course plan

    You can download the course plan from here

    Introductory ppt

    Introduction ppt (includes all the practicalities, grading criteria in more details, etc)

    Grading

    The grading is based on following division: active participation in Tuesday lecture-exercise sessions (25%), home assignments (50%), individual project work (25%). Please see the Introduction ppt for more detail description of the grading, criteria, point limits for each grade, etc.


    R for own computer

    We will be using R over RStudio for spatial analyses. You can install these to your own computer; please make sure that you have R version of 3.6. Below are useful links:

    - R: https://www.r-project.org

    - RStudio: https://www.rstudio.com/products/rstudio/download/

    - Guide to installe these on Windows or Mac: https://www.datacamp.com/community/tutorials/installing-R-windows-mac-ubuntu


    Adobe Illustrator for your own computer: 

    we practice and use Adobe Illustrator for making the graphs and maps from R even nicer. You can access to it via VDI-connection.