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.

.. admonition:: 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.

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   * - 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.

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   * - 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/>`_
  - GeoAI book: `Gao, S., Hu, Y., & Li, W. (Eds.). (2023). Handbook of Geospatial Artificial Intelligence (1st ed.). CRC Press. <https://doi-1org-1t0s4pjfs2da4.ftubhan.tugraz.at/10.1201/9781003308423>`_