010046 SE Research seminar for graduation theses in social ethics (2026W)
Continuous assessment of course work
Labels
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 14.09.2026 10:00 to Mo 28.09.2026 10:00
- Registration is open from Tu 29.09.2026 12:30 to Mo 12.10.2026 23:59
- Deregistration possible until Fr 30.10.2026 23:59
Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 14.10. 13:15 - 16:30 Seminarraum 17, Kolingasse 14-16, OG02
- N Wednesday 28.10. 13:15 - 16:30 Seminarraum 17, Kolingasse 14-16, OG02
- Wednesday 11.11. 13:15 - 16:30 Seminarraum 17, Kolingasse 14-16, OG02
- Wednesday 25.11. 13:15 - 16:30 Seminarraum 17, Kolingasse 14-16, OG02
- Wednesday 09.12. 13:15 - 16:30 Seminarraum 17, Kolingasse 14-16, OG02
- Wednesday 20.01. 13:15 - 16:30 Seminarraum 17, Kolingasse 14-16, OG02
Information
Aims, contents and method of the course
Assessment and permitted materials
Grading is made up of the following components:
Regular attendance, participation in discussions and participation in the respective seminar units (40%).
Independent presentation of a topic unit including the preparation of a handout (20%)
Seminar paper of approx. 20 pages (40%)To achieve the course objectives and pass the assessments, you may use any resources, including AI tools, under certain conditions. Unless otherwise specified, Christian Spannagel’s “Rools for Tools” (Version 2.3) apply: https://github.com/dunkelmunkel/scientific-work/blob/main/rulesfortools/rulesfortools.pdf. Please note in particular: You are responsible for the results and may be required to account for whether and how you ensure the quality of your work when using AI.
Regular attendance, participation in discussions and participation in the respective seminar units (40%).
Independent presentation of a topic unit including the preparation of a handout (20%)
Seminar paper of approx. 20 pages (40%)To achieve the course objectives and pass the assessments, you may use any resources, including AI tools, under certain conditions. Unless otherwise specified, Christian Spannagel’s “Rools for Tools” (Version 2.3) apply: https://github.com/dunkelmunkel/scientific-work/blob/main/rulesfortools/rulesfortools.pdf. Please note in particular: You are responsible for the results and may be required to account for whether and how you ensure the quality of your work when using AI.
Minimum requirements and assessment criteria
Very good: All performances show a demanding, intensive and independent examination of the topics of the course.
Good: All performances are well thought-out and well elaborated.
Satisfactory: The topics of the course were dealt with in a sufficiently critical manner.
Satisfactory: The minimum requirements for a positive assessment were met.
Insufficient: The minimum requirements for a positive assessment were not met.
Good: All performances are well thought-out and well elaborated.
Satisfactory: The topics of the course were dealt with in a sufficiently critical manner.
Satisfactory: The minimum requirements for a positive assessment were met.
Insufficient: The minimum requirements for a positive assessment were not met.
Examination topics
The examination material is what has been worked on in the seminar as well as the contents of the seminar paper.
Reading list
The texts will be selected and announced by the participants together with the course instructor.
Association in the course directory
Last modified: Tu 29.09.2026 12:25
The course is mandatory for all diploma candidates, master’s candidates, doctoral candidates, and postdoctoral candidates in the department. Interested students working in this field may participate in the research seminar after consulting with the course instructor.