Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.
290164 PS Introduction to spatial analysis in population geography (2017S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mi 15.03.2017 07:00 bis Mo 20.03.2017 07:00
- Abmeldung bis Mo 03.04.2017 07:00
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
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
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
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.
Mindestanforderungen und Beurteilungsmaßstab
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)
Prüfungsstoff
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.
Literatur
A reading list will be provided by the teacher for the course.
Zuordnung im Vorlesungsverzeichnis
(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)
Letzte Änderung: 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.