Introduction to GIS in Bioeconomy (5 cr)
Code: VAL2001-3003
General information
Enrollment
24.09.2022 - 23.10.2022
Timing
24.10.2022 - 16.12.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Campus
Ekenäs, Raseborgsvägen 9
Teaching languages
- English
Seats
10 - 50
Degree programmes
- Degree Programme in bioeconomy
Teachers
- Romi Rancken
Teacher in charge
Romi Rancken
Objective
You will know how to
1. make useful maps for various uses
2. utilize existing geographical data using GIS
3. produce and collect your own geographical data
4. find relevant data in big GIS-databases
5. produce clever spatial insights by GIS analysis
6. communicate with digital maps
Content
- open source databases with geographical information
- GIS-applications
- presentation of GIS-material
Location and time
Webex lecturer once a week, usually on Mondays at 13:00, plus prerecorded videos
Materials
Listed in Moodle
Teaching methods
The course is practice oriented and includes a number of demonstrations and exercises, based on open data and open source software (QGIS 3) which the student can download for free.
Evaluation scale
H-5
Assessment methods and criteria
The course and each home assignment are graded on a scale Passed/Not yet Passed. All assignments (about 7 of them) need to be passed for the course to be passed.
Assessment criteria, fail (0)
Not all of the assignments have been handed in and accepted.
Qualifications
Not required
Further information
Bioeconomy is largely based on spatial data concerning the quantity and quality of various resources. Professionals within the bioeconomy sector often have to make decisions where spatial thinking ability is necessary. Therefore GIS (Geographical Information Systems, paikkatietojärjestelmät) can be seen as an important decision support system tool for planning and monitoring of ecosystem services, the built environment, transport services, etc.
This online course is an introduction to GIS, primarily for students in the bioeconomy and environmental sectors. You will learn how to use tools and methods that helps you handle, visualize, analyze and share geographical information in your work.
The course is practice oriented and includes a number of exercises, based on open data and open source software that the student can download for free. As a general rule, exercises will result in maps, some of which are to be uploaded to Moodle in PDF format for evaluation and feed-back from the teacher.