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 in class room. Lectures and training sessions will be recorded for those who cannot attend due to sickness. It is not possible to do the course fully remotely, as full hybrid teaching is not possible

    Course schedule:

    WeekLecture date
    Tue at 
    12:30-14:00 @ U401

    14:15-16:15 @ U351
    ThemeWorkshop date
    Thu at 9:30-11:30 
    @ U351
    / zoom
    Home assignment
    Mondays by 23:55
    16Tue 19.4.1. Global water resources; 
      + Introduction to the course
    Thu 21.4.Mon 25.4.
    17Tue 26.4.2. Population dynamics
      + project work kick-off
    Thu 28.4.Mon 2.5.
    18Tue 3.5. 3. Land cover change and food productionThu 5.5.Mon 9.5.
    19Tue 10.5. 4. Water use

    Thu 12.5.

    Mon 16.5.
    20Tue 17.5.5. Water scarcityThu 19.5. Mon 23.5.
    21Tue 24.5.6. Socio-economics of water and foodWed 25.5. (due to public holiday)Wed 1.6.
    22Tue 31.5. 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)


    The grading is based on following division: active participation in Tuesday lecture-exercise sessions (12.5%), home assignments (62.5%), final presentation (25%). Please see the Introduction ppt above 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 4.0 or higher. Below are useful links:

    - R:

    - RStudio:

    - Guide to installe these on Windows or Mac:

    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; see instructions in Adobe Illustrator use via VDI -tab.