290019 SE Migration and Population Dynamics in the Context of Global Change and Development (2022W)
Research Design, Implemention and Analysis II
Continuous assessment of course work
Labels
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 is only possible for this SE. If you are registered for 290019 after the registration period, you will also be registered for 290025.
Therefore, registration is only possible for this SE. If you are registered for 290019 after the registration period, you will also be registered for 290025.
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 05.09.2022 09:00 to Mo 19.09.2022 09:00
- Registration is open from We 21.09.2022 09:00 to Fr 30.09.2022 12:00
- Deregistration possible until Mo 31.10.2022 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
ATTENTION: Change of the lecture room
Friday 21.10.2022, 09:00 -11:45, Conference room NIG C520
Friday 18.11.2022, 09:00 -11:45, Conference room NIG C520
Friday 25.11.2022, 09:00 -11:45, Conference room NIG C520
Friday 02.12.2022, 09:00 -11:45, Conference room NIG C520
Friday 16.12.2022, 09:00 -11:45, Conference room NIG C520
Friday 13.01.2023, 09:00 -11:45, Conference room NIG C520
Friday 27.01.2023, 09:00 -11:45, Conference room NIG C520
- Friday 14.10. 09:00 - 11:45 Hörsaal 5A Geographie NIG 5.OG A0518
- Friday 21.10. 09:00 - 11:45 Ort in u:find Details
- Friday 18.11. 09:00 - 11:45 Ort in u:find Details
- Friday 25.11. 09:00 - 11:45 Ort in u:find Details
- Friday 02.12. 09:00 - 11:45 Ort in u:find Details
- Friday 16.12. 09:00 - 11:45 Ort in u:find Details
- Friday 13.01. 09:00 - 11:45 Ort in u:find Details
- Friday 27.01. 09:00 - 11:45 Ort in u:find Details
Information
Aims, contents and method of the course
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
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 presentation (40%) and written report (50%) will be marked as well as active participation (10%). 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
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.
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.
Reading list
All texts will be made available in Moodle. The mini-project will be based on data from the Migrating out of Poverty Research Programme. All documentations and migration data are available at : 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/
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
(MG-S4-SE) (MG-S6-SE) (MG-W5-PI) (MG21 APF MIGSPEC)
Last modified: Th 11.05.2023 11:28
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.
• 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).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. However, it is not necessary to have taken the qualitative methods modules in the previous semester to register for these two courses.