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240546 SE MM6 Data Analysis (2026W)
Continuous assessment of course work
Labels
Participation at first session is obligatory!The lecturer can invite students to a grade-relevant discussion about partial achievements. Partial achievements that are obtained by fraud or plagiarized result in the non-evaluation of the course (entry 'X' in certificate). The plagiarism software 'Turnitin' will be used.
The use of AI tools (e.g. ChatGPT) for the attainment of partial achievements is only allowed if explicitly requested by the course instructor.
The use of AI tools (e.g. ChatGPT) for the attainment of partial achievements is only allowed if explicitly requested by the course instructor.
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 Tu 01.09.2026 00:01 to Mo 21.09.2026 23:59
- Deregistration possible until Mo 19.10.2026 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- N Monday 19.10. 16:45 - 18:15 Hörsaal C, NIG 4. Stock
- Thursday 22.10. 16:45 - 18:15 Seminarraum D, NIG 4. Stock
- Thursday 29.10. 16:45 - 18:15 Seminarraum D, NIG 4. Stock
- Thursday 05.11. 16:45 - 18:15 Seminarraum D, NIG 4. Stock
- Monday 09.11. 16:45 - 18:15 Hörsaal C, NIG 4. Stock
- Thursday 12.11. 16:45 - 18:15 Seminarraum D, NIG 4. Stock
- Monday 16.11. 16:45 - 18:15 Hörsaal C, NIG 4. Stock
- Thursday 19.11. 16:45 - 18:15 Seminarraum D, NIG 4. Stock
- Monday 23.11. 16:45 - 18:15 Hörsaal C, NIG 4. Stock
- Thursday 26.11. 16:45 - 18:15 Seminarraum D, NIG 4. Stock
- Thursday 03.12. 16:45 - 18:15 Seminarraum D, NIG 4. Stock
- Thursday 10.12. 16:45 - 18:15 Übungsraum (A414) NIG 4. Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Three partial assignments will be weighted equally in the assessment and grading:
- Reading of mandatory literature, active participation in discussions, and peer feedback;
- Oral presentation(s) of own reserach and data analysis (steps);
- Seminar paper (10 - max. 15 pages, including bibliography) that can serve as basis of a thesis chapter or journal article.
- Reading of mandatory literature, active participation in discussions, and peer feedback;
- Oral presentation(s) of own reserach and data analysis (steps);
- Seminar paper (10 - max. 15 pages, including bibliography) that can serve as basis of a thesis chapter or journal article.
Minimum requirements and assessment criteria
The minimum requirements are regular attendance of the classroom sessions (a maximum of two excused absences permitted) and to sufficiently accomplish the partial achievements listed in the above "Assessment" section.Grading scale:
90-100 points: 1 (“Sehr gut” = excellent)
80-89 points: 2 (“Gut” = good)
70-79 points: 3 (“Befriedigend” = satisfactory)
60-69 points: 4 (“Genügend” = sufficient)
0-59 points: 5 (“Nicht genügend” = insufficient)
90-100 points: 1 (“Sehr gut” = excellent)
80-89 points: 2 (“Gut” = good)
70-79 points: 3 (“Befriedigend” = satisfactory)
60-69 points: 4 (“Genügend” = sufficient)
0-59 points: 5 (“Nicht genügend” = insufficient)
Examination topics
There will be no exams, as the course has seminar character.
For the tasks, which must be fulfilled, and the applied grading scale see above in sections "Assessment" and “Minimum requirements and assessment criteria.”
For the tasks, which must be fulfilled, and the applied grading scale see above in sections "Assessment" and “Minimum requirements and assessment criteria.”
Reading list
A list of recommended literature on social anthropological research and data analysis methods will be provided in the Moodle. Dependent on the course participants´ research topics and types mandatory literature will be agreed upon as the course proceeds.
Association in the course directory
Last modified: Tu 15.09.2026 20:07
Students will have the opportunity to present and discuss the qualitative data they have collected (interviews, field notes, archival and visual data, etc.) as well as how they intend to process, analyze and interpretate it. Participants must therefore have already collected data.
The course is particularly recommended to participants of the ethnographic field school at the World Nomad Games in Kyrgyzstan during the summer semester 2026. However, students who have collected qualitative date elsewhere and would like to turn them into academic texts are also welcome to join.
Over the course of the semester, the various working steps of processing ethnographic data—coding, comparing, analyzing, interpreting, creating narratives, integrating them into theoretical frameworks, and situating them within social anthropological debates—shall be discussed and, in particular, any problems addressed that may arise. Thus, work will be done on the students' actual research data. Peer feedback will be essential and required. The final results of the course activities shall be around 15-pages long texts that can serve as bases of thesis chapters or journal papers.