300012 VO Geodata and spatial analysis (2019W)

VO Introduction to GIS (GIS1)

1.00 ECTS (1.00 SWS), SPL 30 - Biologie

Moodle; We 16.10. 09:15-10:30 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

Registration/Deregistration

Details

Language: German

Lecturers

Ingrid Kleinbauer

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
    
    N
    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: Tu 03.09.2019 11:08