Universität Wien

290125 PS 3D-Modeling (2025S)

3.00 ECTS (1.50 SWS), SPL 29 - Geographie
Continuous assessment of course work
We 11.06. 12:30-14:30 GIS-Labor Geo NIG 1.OG

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. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 05.03. 12:30 - 14:30 GIS-Labor Geo NIG 1.OG
  • Wednesday 19.03. 12:30 - 14:30 GIS-Labor Geo NIG 1.OG
  • Wednesday 26.03. 12:30 - 14:30 GIS-Labor Geo NIG 1.OG
  • Wednesday 09.04. 12:30 - 14:30 GIS-Labor Geo NIG 1.OG
  • Wednesday 30.04. 12:30 - 14:30 GIS-Labor Geo NIG 1.OG
  • Wednesday 07.05. 12:30 - 14:30 GIS-Labor Geo NIG 1.OG
  • Wednesday 14.05. 12:30 - 14:30 GIS-Labor Geo NIG 1.OG
  • Wednesday 21.05. 12:30 - 14:30 GIS-Labor Geo NIG 1.OG

Information

Aims, contents and method of the course

Students acquire knowledge about methods for capturing 3D primary data in remote sensing, various data collection methods, data sources, and their application for creating, analyzing, and visualizing digital models of the Earth's surface at different scales.
This enables them to create digital models using available data from different sources with the help of photogrammetry and GIS software, and they will understand the differences and applications of the various models.
The course consists of a theoretical part, a practical part, and a group project. The practical part includes examples using ArcGIS Pro, Pix4D, and CloudCompare, where the theory and knowledge are applied in practice. For the group project, a self-chosen project must be implemented and demonstrated through a presentation.

Assessment and permitted materials

Participation, Theoretical Test, Group Project

Attendance is mandatory; students are allowed to be absent without excuse twice. The group project must be completed in its entirety (submissions + presentation) for a positive assessment.
Basic knowledge of GIS software and proficiency in Microsoft Office (PowerPoint, Word) are required. Initial theoretical knowledge regarding the capturing of 3D data and remote sensing is beneficial but not necessary.

Minimum requirements and assessment criteria

I. Participation (20%): Attendance, involvement in review sessions, active contribution, and constructive, subject-appropriate input during discussions on the presentations

II. Midterm Test (30%): Theoretical knowledge

III. Group Project (50%): Concept and idea, presentation, documentation, submission on time
If no group project is completed, the course cannot be passed.

A minimum of 51% is required for a positive assessment.

Examination topics

The written midterm test for the theoretical part covers all content (slides, presentation) as well as any referenced literature and supporting learning materials mentioned on Moodle.

Reading list

Provided via Moodle

Association in the course directory

(BA GG 9.1)

Last modified: Tu 25.02.2025 18:06