186.833 Visualization 2
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, VU, 3.0h, 4.5EC


  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to understand advanced theoretical concepts of visualization. Furthermore, students are able to implement programming tasks resulting from a scientific article.

Subject of course

The VU Visualization 2 consists of a lecture part and an exercise part.

The lecture part consists of a series of lectures which take place throughout the semester. Lectures take place Thursdays 9:00 a.m. (c.t.). In the lectures advanced special topics are treated, such as visualization of text data or spatio-temporal data, immersive analytics, or visual analysis of non-destructive tests in material sciences. The lecturers are: 

  • Manuela Waldner
  • Eduard Gröller
  • Johanna Schmidt (VRVis) 
  • Christoph Heinzl (FH Wels) 

The exercise part consists of the implementation of a state-of-the-art visualization technique based on a scientific article. The exercise is ideally implemented in groups of two. Choose from a list of given scientific articles in TUWEL or propose your own paper. There are no requirements regarding programming languages. The lab is supported by a tutor. 

The grade for Visualization 2 will be based on the combination of the practical work and the theoretical knowledge. The exact score for the grading results as follows:

  • the 1st presentation of the article incl. implementation idea (10 points)
  • the implementation and documentation (40 points)
    • implementation of method presented in the paper (15 points)
    • functionality (15 points)
    • usability (5 points)
    • documentation (5 points)
  • the 2nd presentation of the program (10 points)
  • the oral lecture exam (40 points)

For a positive grade, both lecture and exercise must be completed positively!

The schedule, zoom links, recordings, lecture notes, exercise notes and handouts, and exercise forums are located in TUWEL.

See also: Vis2 Hall of Fame

Teaching methods

Lectures with slides on advanced areas of visualization. Discussion groups. Programming exercises.

Mode of examination


Additional information

ECTS breakdown: 4,5 ECTS = 112,5 hours

25 hours - presentation and documentation of article and implementation idea
50 hours - implementation of practical example

37,5 hours - lecture attendance and preparation for oral exam




Course dates

Thu09:00 - 11:0003.03.2022 - 30.06.2022Seminarraum FAV 05 (Seminarraum 186) (LIVE)Lecture
Visualization 2 - Single appointments
Thu03.03.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu10.03.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu17.03.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu24.03.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu31.03.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu07.04.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu28.04.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu05.05.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu12.05.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu19.05.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu02.06.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu09.06.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu23.06.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu30.06.202209:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture

Examination modalities

  • Lecture exam on the theoretical concepts.
  • Submission talk regarding the programming task.
  • Presentation of the program. 

All dates are hybrid (seminar room + Zoom) or remote (Zoom); for remote participation, audio- and video connection is necessary. 

Course registration

Begin End Deregistration end
09.02.2022 00:00 16.03.2022 23:59 26.03.2022 23:59



No lecture notes are available.

Previous knowledge

Programming experience and basic knowledge of visualization is recommended.