Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage Echtzeitvisualisierungsalgorithmen zu verstehen und zu implementieren. Sie sind befähigt, interaktive Systeme um visuell große und komplexe Daten zu analysieren, umzusetzen. 

In particular, the aims and scope of the course are: 

• learn advanced theoretical concepts and algorithms for real-time visualization (e.g., in-situ visualization, parallel rendering & visualization, scalable visual analytics approaches, advanced volume rendering techniques)
• learn practical skills in programming on graphics hardware (e.g., shader programming, GPGPU computing, distributed visualization, real-time visualization on the web using WebGL and WebGPU)
• see bleeding edge real-time visualization applications (e.g., molecular visualization, flood simulation and visualization) 
• implement a real-time visualization project (i.e., interactive visualization of a very large dataset). 

More detailed information, the detailed schedule, and all course materials can be found on TUWEL. 

• Frontal lectures about theoretical concepts and algorithms with slides. 
• Tutorial lectures about about graphics programming techniques (CUDA, WebGPU). 
• Guest lectures about domain-specific real-time visualization (e.g., molecular visualization, flood simulation and visualization). 
• Real-time visualization project in pairs (implementation and presentation). 

ECTS breakdown:  3 ECTS = 75 Stunden

37.5 Stunden - Implementierung, Presentation, und Dokumentation von der Übungsaufgabe

37.5 Stunden - Anwesenheit bei den Vorlesungseinheiten und Vorbereitung für die mündliche Prüfung

Oral examination, project presentations, and submission interview.

Visualization knowledge and OpenGL programming skills