Universität Wien

290408 UE Key Methods in Analysing Migration and Population Dynamics (2025W)

in the Context of Global Change and Development II

5.00 ECTS (2.00 SWS), SPL 29 - Geographie
Prüfungsimmanente Lehrveranstaltung

Note! Modules "290408 UE Key Methods in Analysing Migration and Population Dynamics" and "290409 SE Migration and Population Dynamics in the Context of Global Change and Development" work together and have been developed jointly. They cannot be taken individually, but only paired.
Therefore, registration for this UE is not possible. If you are registered for 290409 after the registration period, you will also be registered for 290408.
Moodle
Di 09.12. 15:00-17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Dienstag 07.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 14.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 21.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 04.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 11.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 18.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 25.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 16.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 13.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 20.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Dienstag 27.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course introduces an approach to quantitative research, with a focus on the use of secondary data in research on migration and population dynamics. How to work with secondary data using R & Rstudio/Posit (looking at examples of secondary data in population and migration studies, preparing datasets, manipulating and exploring them) is the core focus of the course. The basics of EDA (Exploratory Data analysis) is introduced.

This applied course will therefore focus on three key social science skills:
- the ability to immerse oneself in a particular topic (in this case, migration and population dynamics);
- the ability to use exploratory data analysis methods (requiring a basic understanding of multivariate statistics);
- the motivation and ability to start programming with R.

Note! Modules " UE Key Methods in Analysing Migration and Population Dynamics (2025W)" and "SE Migration and Population Dynamics in the Context of Global Change and Development (2025W)" work together and have been developed jointly. They cannot be taken individually, only paired.

Art der Leistungskontrolle und erlaubte Hilfsmittel

• Tutorial Video on one data analysis/EDA chosen from a list of possibilities (50%)
• Short oral interview based on the topics covered during the class (30%)
• Presence, participation & session preparation (20%)

Participants will mainly work individually.

Mindestanforderungen und Beurteilungsmaßstab

Attendance in at least 80% of the course sessions. In the case of illnesses that are confirmed by a doctor's note, additional absenteeism can be compensated by additional written assignments.
The tutorial video (50%) and interview (30%) will be marked as well as active participation and session preparation (20%). Assignments must be passed individually. An assignment is passed with a minimum grade of 4.
Grading scheme:
100 - 87 % - grade 1
86- 75 % - grade 2
74 - 62 % - grade 3
61 - 50 % - grade 4
less than 50% - grade 5

Prüfungsstoff

The examination will cover the work outlined in the course requirements. The examination material includes the documents used to create the tutorial video, the video itself, and the portfolio.
The course and its assessment focus on the ability to manipulate and analyse cross-sectional data with R.
While AI-related applications can be used, their usage must be acknowledged and described. The interests and implications of these tools will be discussed throughout the semester.

Literatur

In Clifford, Cope, Gillespie - Key Methods in Geography 2010 [Chapter 5 Paul White Making Use of Secondary Data; Chapter 6 Sara L. McLafferty Conducting Questionnaire Surveys; Chapter 21 Richard Field Data Handling and Representation; Chapter 23 Danny Dorling Using Statistics to Describe and Explore Data]
Vartanian, T. P. (2010). Secondary data analysis. Oxford University Press.

Website:
R for Data Science (2nd edition) https://r4ds.hadley.nz/
R Cookbook (2nd edition) https://rc2e.com/

Zuordnung im Vorlesungsverzeichnis

(MG21 APF MIGSPEC) (MR1)

Letzte Änderung: Mo 06.10.2025 17:47