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188.081 Research seminar for PhD students
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, SE, 2.0h, 3.0EC, to be held in blocked form


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to

  • find solutions for problems of computer science selected for this particular course
  • subject the developed solutions to a critical analysis

Subject of course

Presentation of challenging topics in the fields of Data Engineering, Information & Knowledge Engineering, Process Engineering, Software Engineering and Web Engineering as well as Information Visualization and Visual Analytics.

More information can be found via http://www.ifs.tuwien.ac.at/ifs

Teaching methods

Didactic approach:
- Individual tasks depending on the task at hand.
- Teamwork is possible after consultation with the supervisor.
- Interactive process in consultation with the supervisor.
- Question hours, discussion rounds as required.

Mode of examination


Additional information



  • Silvia Miksch (Informationsvisualisierung, Visual Analytics): TBS

ECTS Breakdown       3 ECTS = 75 hours       5   Lectures 25   Literature search and reading 30   Writing a state-of-the art report 5   Paper review 8   Presentation 2   Class discussion ------    ------------------------------------- 75  

Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)



Examination modalities

   Evaluation of participation and presentation of discussed problems and solutions

Course registration

Registration modalities

persönlich bei den jeweiligen BetreuerInnen



Bei der Vorbesprechung

Previous knowledge

  Individual previous knowledge required depending on subject area. - Topics and requirements are published on the respective information page.