Syksy
Opintojakson nimi Introduction to GIS in Bioeconomy
Opintojakson ajankohta 24.10.2022 - 16.12.2022
Korkeakoulu Yrkeshögskolan Novia
Opintojakson kieli Englanti
Opintopisteet 5 OP

Opintojakson ala Kaikille aloille soveltuva
Opettaja Romi Rancken
Email
Tarjotaan avoimen opiskelijoille Maksullinen
Taso AMK

Ilmoittautumiskäytäntöihin liittyvät kyselyt
Ilmoittautumisaika 15.08.2022 - 17.10.2022
Ilmoittaudu
AVOIN AMK ilmoittautuminen

Introduction to GIS in Bioeconomy

24.10.2022 - 16.12.2022

Opintojakson kuvaus

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.

The main themes during the course are:

  • making useful maps for various uses
  • utilisation of existing geographical data using GIS, mainly Finnish open data
  • production and collection of geographical data
  • production of spatial insights by GIS analysis
  • communication with digital maps

Edeltävyysehdot

Good, general computer skills. Applicants with a background in the bioeconomy or environmental sectors are prioritized if the number of applicants is greater than 50.

Arviointikriteerit

The course and each home assignments are graded on a scale Passed/Not yet Passed. All assignments (approximately 7 assignments) need to be passed for the course to be passed.

Opintojakson työskentelytavat ja aikataulutus

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.

Opintojakson tiedot

Access to a computer where QGIS is or can be installed is necessary.

Opintojakson lisätiedot

This course will be followed by a continuation course in the spring semester 2023, digging deeper into GIS analysis, especially raster analysis.