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290061 PS Modeling in Geoinformation (2017W)

4.00 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

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).

Details

max. 20 participants
Language: German

Lecturers

Classes

DO 12.10.2017 bis 25.01.2018 16:30-18:30 pünktlich

Ort: Computerkartographie Geographie NIG 1.OG (GIS-Labor)


Information

Aims, contents and method of the course

The course is designed to broaden the contents of the LV Applied Geo . Students are expected to learn and develop the necessary basic knowledge about the formation of models in geo-information.

The lessons are aimed at students that have attended "Angewandte Geoinformation" (applied geoinformation). The students will learn and partly develop on their own the necessary basics to be able to build models in GIS. In the introduction phase of the lessons the basics of model building in GIS, GIS data models and modeling tools will be covered.
One focal point will be working with raster data and raster analysis, where on the one hand the spatial analysis and modeling of surfaces is emphasized on the other hand there will be also a focus on errors, error propagation and uncertainty.
The second focal point is on network models and the analysis of networks.
All theoretical taught basics will be implemented as examples. In the last lessons the students will use the learned methods in combination to work on their self defined projects.

Online - course, discussion and modeling by means of practical examples with ArcGIS , teamwork and group -based learning.

Assessment and permitted materials

course participation, homework/exercises, term-project work, project hearing

Minimum requirements and assessment criteria

The course score is calculated from the scores in course participation (20%), homework/exercises (20%), term-project work (with a subject of ones own interest) (30%), and a final project hearing.
You pass the course if the sum of your scores is higher than 50%.

Examination topics

See Ziele und Inhalte der LV

Reading list

Via E-Learning Plattform

Association in the course directory

(MK1-W2-PI)

Last modified: Mo 07.09.2020 15:42