General Information#
Course Meetings#
The course is held collaboratively between Aalto University and TU Graz. Please note the specific rooms and local times for your institution.
Time Zone Note
Lectures are held simultaneously. 10:00–13:00 in Helsinki (EET/EEST) corresponds to 09:00–12:00 in Graz (CET/CEST).
Aalto University (Espoo)#
Time: Mondays, 10:00–13:00 (Helsinki time)
Format: In-person sessions; recordings shared afterward.
Date |
Location (Otakaari 4) |
|---|---|
16.03. & 23.03. |
Room 201 |
14.04. |
Room 202 |
21.04. |
Room 150 |
28.04. – 19.05. |
Room 202 |
TU Graz (Graz)#
Time: Mondays, 09:00–12:00 (Graz time)
Format: In-person sessions; recordings shared afterward.
Date |
Location |
|---|---|
All Sessions |
Room A306, Steyrergasse 30/III, 8010 Graz |
Instructors#
Aalto University (firstname.lastname@aalto.fi):
Henrikki Tenkanen
Jussi Nikander
Subhrasankha Dey
Farzad Shami
TU Graz (lastname@tugraz.at):
Ivan Majic
Student Assistants (firstname.lastname@student.tugraz.at):
Thomas Gegenleithner
Christina Schauer
Course websites#
Course sites:
Main course site: https://handson-geoai.readthedocs.io/
Slack (Q&A + chat): https://hands-ongeoai2026.slack.com
CSC supercomputer: https://my.csc.fi
Polling / voting (for in-lecture polls): https://slido.com
GitHub classroom: https://classroom.github.com/classrooms/260421565-hands-on-geoai-2026
Other useful resources:
Geo-Python - Introduction to Python for geo-minded people: https://geo-python.github.io
Automating GIS processes - Introduction to geographical analysis with Python: https://autogis.github.io
Geographic Data Science - Introduction to more advanced concepts of geographical analysis: https://geographicdata.science/book/intro.html
Spatial Data Science for Sustainable Development: http://sustainability-gis.readthedocs.org/