WAT-E2090 - Water and People in a Changing World D, Lecture, 19.4.2022-25.5.2022

Topic outline

• Schedule and practicalities
  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:

  Week	Lecture date Tue at  12:30-14:00 @ U401;  14:15-16:15 @ U351	Theme	Workshop date Thu at 9:30-11:30  @ U351 / zoom	Home assignment due Mondays by 23:55
  16	Tue 19.4.	1. Global water resources;    + Introduction to the course	Thu 21.4.	Mon 25.4.
  17	Tue 26.4.	2. Population dynamics   + project work kick-off	Thu 28.4.	Mon 2.5.
  18	Tue 3.5.	3. Land cover change and food production	Thu 5.5.	Mon 9.5.
  19	Tue 10.5.	4. Water use	Thu 12.5.	Mon 16.5.
  20	Tue 17.5.	5. Water scarcity	Thu 19.5.	Mon 23.5.
  21	Tue 24.5.	6. Socio-economics of water and food	Wed 25.5. (due to public holiday)	Wed 1.6.
  22	Tue 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)

  Grading

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