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This class is taught by varying lecturers in the summer and the winter term. The class is taught in English.
We usually offer 1-2 seminars (Seminar in Computational Engineering, Seminar in Data Science, Seminar in Intelligent Information Systems, Seminar in Networks and Security, Seminar in Pervasive Computing, and/or Seminar in AI) per semester. If you need a different seminar than we currently offer, please contact us.
Information for the current semester (if available):
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General information
Eligibility: Bachelor Seminar Computer Science as well as Master Seminar Computer Science with major subject Computational Engineering, Data Science, Intelligent Information Systems or Pervasive Computing.
Seminar objectives: Improving knowledge and skills in
- literature research,
- independent development of a topic that is novel to the student,
- presentation of results (delivering a written report and giving an oral presentation), and
- critical assessment of scientific work (reviewing reports by others).
Language: English
Specific content and activities to be performed
- Choose your favorite topic from a list (quite comprehensive, provided by course supervisor) of topics selected from the Department's areas of research (at start of semester)
- Find and study relevant literature (6-8 papers), compile annotated bibliography (about 10 lines per paper; approx. 6 weeks time)
- Deliver written seminar report (about 12 pages, until mid-term)
- Review a colleague's report (optional; depending on number of participants)
- Deliver oral seminar presentation (about 20 minutes, end of semester)
