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290164 PS Introduction to spatial analysis in population geography (2017S)
Continuous assessment of course work
Labels
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).
- Registration is open from We 15.03.2017 07:00 to Mo 20.03.2017 07:00
- Deregistration possible until Mo 03.04.2017 07:00
Details
max. 20 participants
Language: English
Lecturers
Classes
03.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
04.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
05.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
06.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
07.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
24.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
25.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
26.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
28.04.2017, 10-12 h, Multimedia-Mapping-Labor, NIG, 1. Stock, C 110
Information
Aims, contents and method of the course
Assessment and permitted materials
Continuous assessment during the seminar via submissions of take home exercises and voluntary presentations of the homework plus final short exam at the end of the seminar.
Minimum requirements and assessment criteria
Along the semester, the following is obligatory for graduation:
(i) Regular attendance and session preparation (homework) (40%)
(ii) Positive assessment of the final practical test (60%) (population data assessment with interpretation of the analysis outputs carried out with datasets similar to those used during the exercises)
(i) Regular attendance and session preparation (homework) (40%)
(ii) Positive assessment of the final practical test (60%) (population data assessment with interpretation of the analysis outputs carried out with datasets similar to those used during the exercises)
Examination topics
The students have to solve exercises using Excel at home or write about the theoretical aspects (short essay) of the methods studied during the class, and present it orally in the course.
Reading list
A reading list will be provided by the teacher for the course.
Association in the course directory
(MG-S3-PI.m) (MG-S4-PI.m) (MG-W3-PI) (MG-W5-PI) (MG-W6-PI) (MR1-b-PI) (B11-8.1) (L2-FW) (L2b-zlv)
Last modified: Mo 07.09.2020 15:42
The course use real and artificial data to apply spatial analysis theory.
The analyses will be carried out with the Excel program.