Universität Wien
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290706 KU KU for EX Spatial Data Science Int. Field Trip (2026S)

1.00 ECTS (1.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

Note! "290705 EX Spatial Data Science Int. Field Trip" and "290706 KU for EX Spatial Data Science Int. Field Trip" work together and have been developed jointly. They cannot be taken individually, but only paired.
Therefore, registration for this KU is not possible. If you are registered for 290705 after the registration period, you will also be registered for 290706.
Moodle

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).

Details

max. 16 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

2-3x online meetings for about 90min each in September before we travel

  • Tuesday 10.03. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Tuesday 24.03. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Tuesday 14.04. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Tuesday 23.06. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110

Information

Aims, contents and method of the course

For details please see: 290705-1 EX Spatial Data Science Int. Field Trip (2026S)

Assessment and permitted materials

For details please see: 290705-1 EX Spatial Data Science Int. Field Trip (2026S)

Minimum requirements and assessment criteria

For details please see: 290705-1 EX Spatial Data Science Int. Field Trip (2026S)
For a passing grade the students need to score at least 51% point.
Attendance is mandatory.

Examination topics

For details please see: 290705-1 EX Spatial Data Science Int. Field Trip (2026S)
For a passing grade the students need to score at least 51% point.
Attendance is mandatory.

Reading list

For details please see: 290705-1 EX Spatial Data Science Int. Field Trip (2026S)

Association in the course directory

(SDS-IS) (SDS-S) (MK3) (MA UF GW 02)

Last modified: Mo 27.07.2026 09:27