290027 SE Migration and Population Dynamics in the Context of Global Change and Development (2023W)

Research Design, Implemention and Analysis

5.00 ECTS (2.00 SWS), SPL 29 - Geographie

Continuous assessment of course work

Note! Modules "290026 UE Key Methods in Analysing Migration and Population Dynamics (2023W)" and "290027 SE Migration and Population Dynamics in the Context of Global Change and Development (2023W)" work together and have been developed jointly. They cannot be taken individually, but only paired.
Therefore, registration is only possible for this SE. If you are registered for 290027 after the registration period, you will also be registered for 290026.

Moodle

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 Mo 04.09.2023 09:00 to Mo 18.09.2023 09:00
Registration is open from We 20.09.2023 09:00 to Fr 29.09.2023 12:00
Deregistration possible until Tu 31.10.2023 23:59

Details

max. 25 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

    
    Wednesday
    11.10.
    11:30 - 14:45
    Hörsaal 5A Geographie NIG 5.OG A0518
    
    Wednesday
    25.10.
    11:30 - 14:45
    Hörsaal 5A Geographie NIG 5.OG A0518
    
    Wednesday
    08.11.
    11:30 - 14:45
    Hörsaal 5A Geographie NIG 5.OG A0518
    
    Wednesday
    22.11.
    11:30 - 14:45
    Hörsaal 5A Geographie NIG 5.OG A0518
    
    Wednesday
    06.12.
    11:30 - 14:45
    Hörsaal 5A Geographie NIG 5.OG A0518
    
    Wednesday
    13.12.
    11:30 - 14:45
    Hörsaal 5A Geographie NIG 5.OG A0518
    
    Wednesday
    17.01.
    11:30 - 14:45
    Hörsaal 5A Geographie NIG 5.OG A0518
    
    Wednesday
    24.01.
    11:30 - 14:45
    Hörsaal 5A Geographie NIG 5.OG A0518

Information

Aims, contents and method of the course

This course is intended to be a research immersion in the context of migration studies that use survey data to better understand population dynamics at a fine scale. Through a mini-project, students will be confronted with data processing issues in the field of migration. They will be asked to work in groups to familiarise themselves with empirical data from existing research projects (i.e. (http://www.migratingoutofpoverty.org/) to analyse them and produce a mini research report. The face-to-face sessions will allow us to discuss the different steps related to the exploitation of quantitative data and examples of research using secondary data will be dissected and discussed.
This course is thus a practical implementation of the skills acquired in parallel with the UE in order to strengthen one's ability to be autonomous in the following areas:
• Formulate research questions as part of a mini research project linked to secondary data that has been collected in another setting.
• Download secondary data and manipulate files to create a customised dataset ready to be used for a personal project using an open-source programming language (R).
• Use exploratory data analysis methods to test hypotheses and offer descriptive analysis (with an appropriate interpretation of results) relevant to the personal research project.
• Implementation of good practice in data analysis (research report, documentation of data and creation of a script that clearly outlines each step of the analysis and allows replication of the research work by a third party).

Assessment and permitted materials

The project seminar will be based primarily on case study-related and action-based learning, i.e. the participants will work on a case study in groups, develop mini-research projects and apply Exploratory Data analysis.

The Mini Research Project will be assessed via a written report (50%), & an oral presentation (40%). The presence/participation will also be considered (10%)
For the Mini Research Project, the written report will include the following sections: Research context/RQ/Hypothesis + Description of the secondary data to be used + EDA/data visualisation/data analysis and their interpretation + Perspective/Roadmap/CL.

Minimum requirements and assessment criteria

doctor's note, additional absenteeism can be compensated by additional written assignments.

The presentation (40%) and written report (50%) will be marked as well as active participation (10%). 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

Examination topics

The examination will encompass the work items as outlined in the course requirements. The examination material includes the research report and its related-documents (Dataset, R script) and the presentation.
The ability to acquire the reasoning necessary to manipulate and analyse cross-sectional data with R with the aim of producing a mini-case study in the field of migration is the fundament of the course and thus of its assessment.
AI-related applications can be used. The interests and implications of these tools will be discussed during the semester.

Reading list

All texts will be made available in Moodle. The mini-project will be based on data available online from existing projects such as the Migrating out of Poverty Research Programme (http://www.migratingoutofpoverty.org/ )
For R & Rstudio/Prosit :
https://r4ds.had.co.nz/index.html
https://www.rstudio.com/resources/cheatsheets/
http://www.sthda.com/english/

Association in the course directory

(MG21 APF MIGSPEC) (MR6)

Last modified: Mo 02.10.2023 12:28