Universität Wien

300012 VO Geodata and spatial analysis (2019W)

VO Introduction to GIS (GIS1)

1.00 ECTS (1.00 SWS), SPL 30 - Biologie
Moodle

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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Attention: Attendence to the lecture is compulsory for those who participate in the practical course.
First date is also a preliminary meeting.

  • Wednesday 02.10. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 09.10. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 16.10. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 23.10. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 06.11. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 13.11. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 20.11. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 27.11. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 11.12. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 08.01. 09:15 - 10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

Information

Aims, contents and method of the course

The lecture is provided for students of the second part of all branches of study in Biology but also provided in Computer Science , Landscape Planing and Geography.

Content: This lecture will introduce students to GIS principles and the fundamental GIS concepts. The different topics include spatial data properties, spatial data models and data structures, data collection and transformation, data manipulation. The lecture aims to show the students the important role of Spatial Analysis in all the different fields of environmental analysis, landscape planing, conservation biology and accordingly its human dimension.

Assessment and permitted materials

offline multiple choice test

Minimum requirements and assessment criteria

61% of total points must be achieved

Examination topics

total content of the lecture

Reading list

presented during the lectur

Association in the course directory

MEC-9, MNB W-4

Last modified: Mo 07.09.2020 15:21