Introduction to GIS in Bioeconomy, 5 ECTS
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.
Good, general computer skills.
Applicants with a background in the bioeconomy or environmental sectors are prioritized if the number of applicants is greater than 30.
Main competencies you will acquire during the course:
You will know how to:
- make useful maps for various purpose
- utilize existing geographical data using GIS
- produce and collect your own geographical data
- produce spatial insights by GIS analysis
- communicate with digital maps
Content and working methods:
The course is an introduction to geographic Information Systems (GIS), primarly 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 and home assignments based on open data and open source software (QGIS3), that the course participant 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.
Form of examination and criteria for assessment:
The course and each home assignments are graded on a scale Passed/Not yet Passed.
All assignments need to be passed for the course to be passed.
Other important information:
Access to a computer where QGIS is or can be installed is necessary.
The course is free of charge for Campusonline students, please use your school mailadress
Fee for OpenUAS students 75€.
This course will be followed by a continuation course at the beginning of year 2022, digging deeper into GIS analysis, especially raster analysis.
Course coordinator and more information: