Universität Wien

290707 SE Research Seminar Spatial Data Science and GeoCommunication (2026S)

5.00 ECTS (3.00 SWS), SPL 29 - Geographie
Prüfungsimmanente Lehrveranstaltung
Moodle
Di 19.05. 12:30-15:00 GIS-Labor Geo NIG 1.OG

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Dienstag 10.03. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 24.03. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 14.04. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 21.04. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 28.04. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 05.05. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 26.05. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 02.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 09.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 16.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 23.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
  • Dienstag 30.06. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The seminar is a scientific discourse about (student-) selected topics approached via individual contributions through presentations/demos, discussions, and a brief dataset report/presentation/preparation.

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Mindestanforderungen und Beurteilungsmaßstab

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.

Prüfungsstoff

Oral presentations, written contributions, dataset, and active participation in discussions.

Literatur

A literature sign-up sheet will be distributed during the first session. Students typically read 2-4 papers.

Zuordnung im Vorlesungsverzeichnis

(SDS-DSDS) (MK4)

Letzte Änderung: Mo 09.03.2026 14:48