701-0951-00L  GIS - Introduction into Geoinformation Science and Technology

SemesterAutumn Semester 2017
LecturersM. A. M. Niederhuber
Periodicityyearly recurring course
Language of instructionGerman
CommentNumber of participants limited to 60.


AbstractTheoretical basics and fundamental concepts of Geographic Information Science (GIS) are imparted and subsequently further elaborated with the software ArcGIS.
At the end, the students will be able to independently solve basic realistic GIS problems.
Learning objectiveStudents are able to
- elucidate the theoretical and conceptional foundations of geographic information systems (GIS)
- independently perform normal GIS work using commercial software and practical examples
ContentThe course covers the following topics:
- What is GIS? What are spatial data?
- The representation of reality by means of spatial data models: vector, raster, TIN
- The four phases of data modelling: Spatial, conceptual, logical and physical model
- Possibilities of data collection
- Transition of reference frame
- Spatial Analysis I: query and manipulation of vector data
- Spatial Analysis II: operators and functions with raster data
- Digital elevation models and derived products
- Process modelling with vector and raster data
- Presentation possibilities of spatial data

One Friday is reserved for a field trip or guest speaker;
LiteraturePaul A. Longley, Michael F. Goodchild, David J. Maguire, David W. Rhind (2010): Geographic Information Systems and Science. John Wiley & Son, Ltd. Chichester.

Norbert Bartelme (2005): Geoinformatik - Modelle, Strukturen, Funktionen. Springer Verlag. Heidelberg.

Ralf Bill (2010): Grundlagen der Geo-Informationssysteme. 5., völlig neu bearbeitete Auflage. Wichmann Verlag. Heidelberg.

GI GEOINFORMATIG GmbH (Hrsg.) (2011): ArcGIS 10 - das deutschsprachige Handbuch für ArcView und ArcEditor. Wichmann Verlag. Heidelberg.
Prerequisites / NoticeAufgrund der Grösse des verfügbaren EDV-Schulungsraumes ist die Teilnehmerzahl auf 60 Studierende beschränkt! Für die Übungen werden die Studierenden auf verschiedene Zeitfenster aufgeteilt. Pro Zeitfenster können maximal 20 Studierende betreut werden.