040.005 Scientific Work: Data Visualisation in Virtual and Augmented Reality
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, SE, 3.0h, 3.0EC, to be held in blocked form


  • Semester hours: 3.0
  • Credits: 3.0
  • Type: SE Seminar
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to visualize 3D data in Virtual- and Augmented Reality.

The skills acquired in Module 1 also enable the participants to use the Data Visualization Lab beyond the scope of the course.

Subject of course

This seminar is addressed to students of all faculties and fields of study who want to learn how to visualize their own research results, designs, analyses and simulations on desktop, but also in augmented and virtual reality. Another key objective of the seminar is to promote interdisciplinary cooperation and to support scientific exchange beyond the boundaries of one's own discipline. The seminar is conducted in German, but support can also be provided in English if required.
The knowledge acquired should ideally serve the participants as a supplement and support for other courses, seminar and master theses or dissertations. However, this is not a precondition for attending the course.
The course also supports the "Smart Campus" project.

Module 1, Introduction:
In an introduction, an overview of visualization technologies and scientific visualization and their applications in practice is given. In the Data Visualization Lab of the TU Library, the possibilities of scientific visualization in virtual reality can be experienced practically. Depending on the interests and professional backgrounds of the participants, these can be data from the disciplines of mechanical engineering, civil engineering, architecture, spatial planning, geoinformation and geosciences, chemistry, physics, medicine, biology and other subject areas.

Module 2, Basics of scientific visualization in VR/AR:
During a practical introduction the participants will be able to learn the basics of 3D desktop visualization with COVISE. In addition, a workshop will be held to discuss how to create interactive 3D models for virtual environments and how augmented reality visualizations can be implemented.
The aim of this module is to enable the participants themselves to create visualizations and to visualize them on end devices ( Display, Head Mounted Display (HMD), Virtual Reality etc.). This knowledge is to be applied in own research and study projects.

Module 3, Bring your own data:
The third module deals with the visualisation of models, analyses and simulations created by the participants themselves as part of their research and student research projects. These are to be presented in the Data Visualization Lab and subsequently optimized in a workshop and further variants are to be discussed.

Teaching methods

Scientific visualisation / virtual and augmented reality (VR and AR) at the Data Visualisation Lab of TU Bibliothek 

Mode of examination

Written and oral

Additional information

Further dates for courses in December (module 2) and January (module 3) will be announced as soon as possible.

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



Course dates

Wed09:00 - 17:0021.10.2020 TU Bibliothek, Vortragsraum, Resselgasse 4, 5th floorModule 1: Introduction / Day 1
Thu09:00 - 17:0022.10.2020 TU Bibliothek, Vortragsraum, Resselgasse 4, 5th floorModule 1: Introduction / Day 2
Wed09:00 - 18:0009.12.2020 TU Bibliothek, Data Visualisation Lab (Ground Floor)Modul 2 (Zusatztermin): Grundlagen der wissenschaftlichen Visualisierung in VR/AR
Thu09:00 - 18:0010.12.2020 TU Bibliothek, Data Visualisation Lab (Ground Floor)Module 2: Basics of scientific visualization in VR/AR
Wed09:00 - 17:0013.01.2021 TU Bibliothek, Data Visualisation Lab (Ground Floor)Module 3, day 1: Bring your own data
Thu09:00 - 17:0014.01.2021 TU Bibliothek, Data Visualisation Lab (Ground Floor)Module 3, day 2: Bring your own data
Course is held blocked

Examination modalities

Students have to participate in all three modules and have to create a seminar work in Module 3. This work will be interactively presented at the Data Visualization Lab, will be graded and thus serves as performance record.

Course registration

Begin End Deregistration end
14.09.2020 00:00 20.10.2020 00:00 20.10.2020 00:00

Registration modalities

The modules are conducted in "attendance courses". Should it be necessary for legal health reasons, single modules will be held in online mode. In the latter case, the participants will be notified in good time.


Study CodeObligationSemesterPrecon.Info
066 490 Technical Chemistry Not specified
TRS Transferable Skills Not specified


No lecture notes are available.

Previous knowledge

Previous skills in visualisation are not mandatory, but experience with specialised software is beneficial. 


  • Attendance Required!


if required in English