392207 Scientific Research Methods: Theoretical Basis (S) (WiSe 2026/2027)
Contents, comment
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Das Ziel der Veranstaltung ist es Methoden wissenschaftlicher Arbeit zu vermitteln. Studierende erlernen Grundlagen um eine gute wissenschaftliche Arbeit im Bereich Intelligenter Systeme zu verfassen. Folgende Themenbereiche werden in der Veranstaltung behandelt:
- was ist eine gute wissenschaftliche Arbeit? Analyse anhand von Beispielen
- wissenschaftliche Methoden (Strukturieren, Recherchieren, Motivieren, Argumentieren, Zitieren etc.)
- Hypothesen aufbauen/verifizieren
- Evaluation technischer u./o. interaktiver Systeme (welche Maße wähle ich?)
The aim of the course is to teach methods of scientific work. Students learn the basics to write a good scientific paper in the field of intelligent systems. The following topics will be covered in the course:
- what is a good scientific paper? Analysis based on examples
- scientific methods (structuring, researching, motivating, arguing, citing, etc.)
- hypothesis building/verification
- evaluation of technical and/or interactive systems (which measurements do I choose?)
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Do | 08-10 | V2-105/115 | 12.10.2026-05.02.2027 | Das Seminar findet von 08:30 bis 10:00 Uhr statt! |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-SRM Scientific Research Methods | Scientific Research Methods: Theoretical Seminar | Study requirement
Ungraded examination |
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
NOTE: In this course, the use of AI tools is permitted for the following purposes: grammar/English language check for essay/presentation (e.g. using DeepL). In exercises the use of AI tools is not permitted (exception: the use of specific AI-tools is explicitly authorised as such in the task description). You are required to be transparent about AI use, and should be able to explain and defend your work on request. Use of AI tools beyond this permission will be sanctioned.
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- WS2026_392207@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, August 14, 2026
- Last update times:
- Monday, August 24, 2026
- Last update rooms:
- Monday, August 24, 2026
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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