This seminar is aimed at students from all faculties and fields of study who want to learn how to visualise their research results, designs, analyses and simulations in 3D on the desktop, but also in virtual reality. Another essential goal of the seminar is to promote interdisciplinary cooperation and to support scientific exchange beyond one's own disciplinary boundaries. The seminar is offered in German, but supervision 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's theses or dissertations. However, this is not a prerequisite for attending the course.
Module 1 (week 16), Introduction:
An introduction will provide an overview of visualisation technologies and scientific visualisation and their applications in practice. In the Data Visualisation Space (davis) of the TU WienLibrary, the possibilities of scientific visualisation in virtual reality can be experienced practically. Depending on the participants' interests and subject backgrounds, this can be data from the disciplines of mechanical engineering, civil engineering, architecture, spatial planning, geodesy and geoinformation, process engineering, chemistry, physics, medicine, biology and other subject areas.
Module 2 (week 16), Fundamentals of scientific visualisation in VR/AR:
During a practical introduction, participants can learn the basics for 3D desktop visualisation with COVISE. In addition, how interactive 3D models for virtual environments can be vividly created and how augmented reality visualisations can be implemented will be discussed in the form of a workshop.
The aim of this module is for participants to be able to create visualisations themselves and display them on end devices (monitor, head mounted display (HMD), virtual reality, etc.). This knowledge is to be applied in their own research and study work.
Module 3 (week 24), Bring your own data:
The last module deals with the visualisation of models, analyses and simulations created by the participants themselves in the context of their research, coursework and design. These are presented in the Data Visualisation Space (davis) and subsequently optimised in a workshop and further variants are shown.
