290707 SE Research Seminar Spatial Data Science and GeoCommunication (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: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 10.03. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 24.03. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 14.04. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 21.04. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 28.04. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 05.05. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 19.05. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 26.05. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 02.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- N Tuesday 09.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 16.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 23.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Tuesday 30.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
Information
Aims, contents and method of the course
The seminar is a scientific discourse about (student-) selected topics approached via individual contributions through presentations/demos, discussions, and a brief written paper.The seminar focuses on the topic of "Points of Interest (POI) and Volunteered Geographic Information (VGI)" with the aim of gaining a deeper understanding of the spectrum of contributions, methods, datasets, and application areas that relate to the computational representation, processing, analysis, and visualization of places and areas of interest ranging from individual point-like features to larger regions.
Assessment and permitted materials
The assessment is done through an oral presentation/demo, participation in discussions, and the creation and demonstration of an open-content dataset. Students work in teams of 2-3 and prepare a proposal presentation (~10-15 min) , final presentation (~ 40min, 10min interactive in-class experiment, 10min discussion), and introduce their dataset (~10-15 min). Students are expected to participate during all presentations, e.g., from other student teams.
Minimum requirements and assessment criteria
For a passing grade the students need to score at least 51% point. The individual grade depends on the quality of the presentation, the written contribution, quality of the demo and data, and the active participation in discussions. Attendance is mandatory.
Examination topics
Oral presentations, written contributions, dataset, and active participation in discussions.
Reading list
A literature sign-up sheet will be distributed during the first session. Students typically read 2-4 papers.
Association in the course directory
(SDS-DSDS) (MK4)
Last modified: Mo 09.03.2026 14:48