Universität Wien
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290025 UE Key Methods in Analysing Migration and Population Dynamics (2022W)

In the Context of Global Change and Development II

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

Note! Modules "290025 UE Key Methods in Analysing Migration and Population Dynamics (2022W)" and "290019 SE Migration and Population Dynamics in the Context of Global Change and Development (2022W)" 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 290019 after the registration period, you will also be registered for 290025.
Moodle

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

Tuesday, 18.10.2022, 14:00-16:00 h, GIS-Lab
Tuesday, 25.10.2022, 14:00-16:00 h, GIS-Lab
Tuesday, 08.11.2022, 14:00-16:00 h, GIS-Lab
Tuesday, 15.11.2022, 14:00-16:00 h, GIS-Lab
Tuesday, 29.11.2022, 14:00-16:00 h, GIS-Lab
Tuesday, 06.12.2022, 14:00-16:00 h, GIS-Lab
Tuesday, 13.12.2022, 14:00-16:00 h, GIS-Lab
Tuesday, 10.01.2023, 15:00-17:00 h, MM-Lab
Tuesday, 17.01.2023, 15:00-17:00 h, MM-Lab
Tuesday, 24.01.2023, 15:00-17:00 h, MM-Lab
All dates in Octover, November and December: GIS Lab (NIG, Universitätsstraße 7, 1st floor, Room number C0109).
The dates in January: MM-Lab (NIG, Universitätsstraße 7, 1st floor, Room number C0110).

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course aims to introduce the approach to quantitative research, especially those involving the use of so-called secondary data in the context of research on migration and population dynamics. How to work with secondary data using R (looking at examples of secondary data in population studies and where to find them, preparing datasets, manipulating, exploring and analysis migration & population data using R & Rstudio (newly named Posit) is the core focus of the course. The basics of EDA (Exploratory Data analysis) is introduced.

This applied course will thus be at the intersection of three important social science skills to be acquired:
• the ability to immerse oneself in a particular topic (that of migration and population dynamics)
• the ability to use exploratory data analysis methods (involving a basic understanding of multivariate statistics)
• the motivation and ability to get started with programming with R.

Note! Modules "290019 SE Migration and Population Dynamics in the Context of Global Change and Development (2022W)" and "290025 UE Key Methods in Analysing Migration and Population Dynamics (2022W)" work together and have been developed jointly. They cannot be taken individually, but only paired. However, it is not necessary to have taken the qualitative methods modules in the previous semester to register for these two courses.

Art der Leistungskontrolle und erlaubte Hilfsmittel

• Tutorial Video on one data analysis/EDA chosen from a list of possibilities provided at the beginning of the semester (50%)
• Portfolio (homework of exercises from one session to another) (30%)
• Presence/participation (20%)

Participants will work in groups to develop the tutorial video and individually (with the portfolio).

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 portfolio (30%) will be marked as well as active participation (20%). Assignments have to 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 encompass the work items as outlined in the course requirements. The examination material includes the documents used to create the tutorial video, the video itself and the portfolio.
The ability to acquire the reasoning necessary to manipulate and analyse cross-sectional data with R is the focus of the course and its assessment.

Literatur

All texts will be made available in Moodle. For selected literature, see below:
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 https://r4ds.had.co.nz/index.html
R Cookbook https://rc2e.com/

Zuordnung im Vorlesungsverzeichnis

(MG-S4) (MG-S6) (MG-W5) (MG21 APF MIGSPEC)

Letzte Änderung: Di 11.10.2022 09:09