Courses
One of our goals is to prepare future workforce for the up-and-coming autonomous driving industry in Estonia (and elsewhere) — this is a long process. Providing the students here at the Institute of Computer Science with a variety of courses that provide them with an opportunity to get familiar with the basics of self-driving software, is a critical first step.
Here is an overview of the different courses taught at our institute. Be sure to check out the links that take you to the Study Information System, if you’re interested in the specifics!
RELATED FIELDS
Intelligent Transportation Systems
6 ECTS
MTAT.08.040
Lecturer: AMNIR HADACHI
Content and relation to ADL activities:
Topics related to autonomous transportation, such as intelligent traffic management and intelligent infrastructure.
Topics related to autonomous transportation, such as intelligent traffic management and intelligent infrastructure.
RELATED FIELDS
QGIS with Fundamental of GIS
3 ECTS
LTOM.02.034
Lecturer: KIIRA MÕISJA
Content and relation to ADL activities:
Introduces basics of geoinformatics via QGIS freeware. Amongst other things, QGIS is also relevant for creating maps used by self-driving cars.
Introduces basics of geoinformatics via QGIS freeware. Amongst other things, QGIS is also relevant for creating maps used by self-driving cars.
RELATED FIELDS
Spatial Databases
6 ECTS
LTOM.02.040
Lecturer: VALENTINA SAGRIS
Content and relation to ADL activities:
Introduces how spatial data can be represented and treated. Spatial data in the form of maps is crucial for modular approaches in self-driving.
Introduces how spatial data can be represented and treated. Spatial data in the form of maps is crucial for modular approaches in self-driving.
