Universität Wien FIND

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290211 VU Advanced methods of statistical analysis (regional analysis), Group B (2016W)

3.00 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. 35 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Friday 07.10. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 14.10. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 21.10. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 28.10. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 04.11. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 11.11. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 18.11. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 25.11. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 02.12. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 09.12. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 16.12. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 13.01. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 20.01. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 27.01. 12:30 - 14:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33

Information

Aims, contents and method of the course

Based on the courses "Einführung in die Statistik I+II", this course aims at a consolidation of statistics for geographers and addresses students in the advanced study period. It centers on the most important multivariate statistical methods such as Regression-, Path-, Cluster- Discriminant- and Factor- Analysis. The course is divided into a lecture and a exercise course. Special emphasize is given to the computer supported use of the methods for geographical questions. The students will be couraged to bring in own research questions and discuss them in the exercise course. Thus the relevance of quantitative methods within scientific work will be pointed out even more clearly.

Assessment and permitted materials

Die Leistungsüberprüfung erfolgt mittels schriftlicher Tests, Hausübungen und in Form von Referaten. Bei den schriftlichen Überprüfungen sind ausschließlich nicht programmierbare Taschenrechner als Hilfsmittel erlaubt.

Minimum requirements and assessment criteria

Die Beurteilung setzt sich aus folgenden Elementen zusammen:

a) Zwischentest: 32%

b) Endtest: 45%

c) Hausübungen: 15%

d) Referat: 8%

Für eine positive Note müssen mindestens 50% erreicht werden.

Examination topics

Reading list

Backhaus, K. et al. (2008): Multivariate Analysemethoden. Eine anwendungsorientierte Einführung. 12. Aufl., Berlin, Heidelberg.

Diaz-Bone, R. (2013): Statistik für Soziologen.2. Aufl., Konstanz, München.

Hatzinger, R. et al. (2014): R. Einführung durch angewandte Statistik. 2. Aufl., Hallbergmoos.

Association in the course directory

(B11-6.6)

Last modified: Mo 07.09.2020 15:42