290206 UE Exercise on AI Methods in Urban Research (2026S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 09.02.2026 08:00 to Mo 23.02.2026 08:00
- Deregistration possible until Tu 31.03.2026 23:59
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 11.03. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 18.03. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 25.03. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 15.04. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 22.04. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 29.04. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 06.05. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 13.05. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 20.05. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 27.05. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 03.06. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 10.06. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- N Wednesday 17.06. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
- Wednesday 24.06. 08:00 - 09:30 Seminarraum Geographie NIG 5.OG C0528
Information
Aims, contents and method of the course
Objectives: Getting to know the potentials of ki-based analysis methods in urban researchContents: Examination of the potentials of machine learning in an area of urban research. Development of a learning dataset for AI, evaluation and discussion of the results.Methods: Survey and evaluation of first floor locations in the existing city of Vienna.
Assessment and permitted materials
- Proactive collaboration, participation in the discussions
- Conducting an ai-based first floor survey
- Drafting and presentation of a final report
- Conducting an ai-based first floor survey
- Drafting and presentation of a final report
Minimum requirements and assessment criteria
- presence, proactive participation
- conducting an empirical analysis
- presentation
- submission of a final report
- conducting an empirical analysis
- presentation
- submission of a final report
Examination topics
no examination
Reading list
Wird via Moodle bekannt gegeben.
Association in the course directory
(MA UF GW 02) (MGGCST 4.4) (MGGCST M5)In MGGCST 4.4. zu:
1. 1 VU und 1 PS (pi) (je 5 ECTS, 2 SSt.) im Umfang von insgesamt 10 ECTS zu inter- und transdisziplinären und vergleichenden Theorien oder Methoden in der Stadtforschung (Inter- and Transdisciplinary and Comparative Theories or Methods in Urban Studies)
1. 1 VU und 1 PS (pi) (je 5 ECTS, 2 SSt.) im Umfang von insgesamt 10 ECTS zu inter- und transdisziplinären und vergleichenden Theorien oder Methoden in der Stadtforschung (Inter- and Transdisciplinary and Comparative Theories or Methods in Urban Studies)
Last modified: Tu 03.03.2026 11:48