This course page describes the lecture of Wintersemester 2019/2020. See list of other semesters.

Organization

Realtime visualization VU consists of a lecture and an exercise part. The lectures are spread over the semester and take place in the Seminarraum 186, on the 5th floor in Favoritenstrasse 9-11. The lectures are frontal lectures describing real-time visualization concepts, combined with explanation of implementation code examples. The course will be held in English. Each lecture unit is concluded with a short written exam from the previous lecture. The exercise part consists of an implementation of a two real-time visualization techniques. On this page you can find essential information and dates concerning the course, more is explained on the first lecture.

The lectures will be recorded and uploaded to an associated TUWEL course. Information on the exercises is available in TUWEL. Registration to the course is done through TISS.

Schedule

Thursday
10.10.2019
1100-1300
SEM186
Introduction to Real-Time Visualization Course
Real-Time Molecular Visualization
Peter Mindek
Thursday
31.10.2019
1100-1300
SEM186
Real-Time Visual Analytics
Manuela Waldner
Thursday
7.11.2019
1100-1300
SEM186
Real-Time Ultrasound Processing and Rendering
Renata Raidou
Thursday
14.11.2019
1100-1300
SEM186
High-Performance Computing and Visualization
Hsiang-Yun Wu
Thursday
21.11.2019
1100-1300
SEM186
GPGPU for Real-Time Visualization
Nicolas Grossmann
Thursday
28.11.2019
1100-1300
SEM186
Real-Time Volume Rendering and Advanced Illumination
Haichao Miao
Thursday
5.12.2019
1100-1300
SEM186
Real-Time Fluid Simulation and Visualization
David Kouril
Thursday
12.12.2019
1100-1300
SEM186
Real-Time Large Graph Visualization
Peter Mindek

Grading

There is a nominal amount of 100 points. During the written exams maximum of 50 points can be obtained. The exams are written and take place on the next lecture after the frontal lecture is finished and the overall time is 15 minutes per exam. The lab has nominal 50 points plus additional 10 bonus points. The grading scheme is as follows: -49 = 5 … 50-52 = 4 … 63-74 = 3 … 75-87 = 2 … 88- = 1.

Related courses

186.827, VU Visualisierung 1; WS; Eduard Gröller & Tobias Klein
186.833, VU Visualisierung 2; WS; Eduard Gröller & al.
186.105, VU Visualisierung medizinischer Daten 1; SS; Renata Raidou
186.138, VU Visualisierung medizinischer Daten 2; WS; Renata Raidou
188.305, VO Informationsvisualisierung; SS; Kresimir Matkovic
186.143, UE Informationsvisualisierung; SS; Kresimir Matkovic & al.
188.162, VU Informationsvisualisierung; WS; Silvia Miksch
186.166, VU Entwurf und Programmierung einer Rendering-Engine; WS; Harald Steinlechner
186.046, SE aus Visualisierung; Eduard Gröller
186.829, PR Bachelorarbeit für Informatik und Wirtschaftsinformatik; Eduard Gröller et al.
186.834, PR Praktikum aus Visual Computing; Eduard Gröller et al.
Central European Seminar on Computer Graphics; Michael Wimmer et al.