188.906 Seminar in Visualization
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 author a scientific text in this area and have a good overview of the current state of the art in Visual Analytics science and technology.

Subject of course

Visual Analytics is an emerging area of research and practice that aims for supporting analytical reasoning by interactive visual interfaces. The basic idea is the integration of the outstanding capabilities of humans in terms of visual information exploration and the enormous processing power of computers to form a powerful knowledge discovery environment.

Visual Analytics denotes the science of analytical reasoning facilitated by interactive visual interfaces and appropriate visualization techniques. [Thomas and Cook, 2005]

Visual Analytics is an inherently multi-disciplinary field that aims to combine the findings of various research areas as Human-Computer Interaction (HCI), Usability Engineering, Cognitive and Perceptual Science, Information Visualization, Scientific Visualization, Databases, Data Mining, Statistics, Knowledge Discovery, Data Management & Knowledge Representation, Presentation, Production, and Dissemination.




Teaching methods

Theory lectures

Literature input

Class discussion

Mode of examination


Additional information



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 



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



Examination modalities

Writing a state-of-the art report 

Conduct paper review (peer evaluation)

Presentation of work

Course registration

Begin End Deregistration end
23.02.2023 00:00 16.03.2023 23:59 02.04.2023 23:59


Study CodeObligationSemesterPrecon.Info
066 932 Visual Computing Mandatory elective
066 935 Media and Human-Centered Computing Not specified
066 936 Medical Informatics Mandatory elective


No lecture notes are available.

Preceding courses

  • 188.307 VO Information Visualization


if required in English