Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
After the course a student is able to...
- analyse and assess how global water resources are distributed in relation to human population and how this has changed over time
- recognise the connection between food production and use of water
- analyse the water stress and water scarcity in various scales by using spatial datasets and estimate their impact on human society
- apply GIS software (R, R Studio) on global water challenges
- use different kind of spatial datasets as a part of scientific research
- recognise the basics of visual scientific communication, and create informative maps and graphs
Schedule: 16.04.2019 - 23.05.2019
Teacher in charge (valid 01.08.2020-31.07.2022): Matti Kummu, Matti Kummu
Teacher in charge (applies in this implementation): Matti Kummu, Matti Kummu
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Food security and the overall wellbeing of human kind are threatened by the overexploitation of our water and land resources. Water scarcity is not only a threat to people, but also to many of the planet's key ecosystems. But how have we ended up in this situation, and how does the future look like?
In this course, the aim is to investigate how the world has changed over time, and how these changes have impacted on our water and land resources. Moreover, as the pressure on natural resources is expected to only grow in the future, an overview on future pathways is given.
Within the course, a student will explore and assess these changes using various spatial analyses methods of R, over different global datasets. Moreover, advanced graph and map making is practised with Adobe Illustrator.
Applies in this implementation:
Plaese note: from year 2019 onwards we will be using R and RStudio instead of Matlab for spatial analyses.
Assessment Methods and Criteria
Course consist of lectures, hands-on trainings and workshops. Students do each week individual home assignment, which will be collected to a project work at the end of the course. In both, main emphasis is on illustrations and graphics.
Grading: active participation in lecture-training sessions (1/4), home assignments (2/4), individual project work (1/4)
Note: lecture-training sessions are compulsory and student need to attend to minimum five out of six of them, in order to pass the course.
Contact teaching (lecture-training sessions): 24h (6x4h)
Pre-assignment, orientation to lectures: 24h (6x4h)
Home assignments: 48h (6x8h)
Project work: 35h
Will be given during the course
SDG: Sustainable Development Goals
1 No Poverty
2 Zero Hunger
6 Clean Water and Sanitation
12 Responsible Production and Consumption
13 Climate Action
15 Life on Land