|Zeit:||Mittwoch, 4. DS (13:00 bis 14:30)|
|Ort:||virtual / APB E023|
This lecture covers the basics and practices of scientific visualization of measurement and experimental data as well as simulation results. It teaches the basics of visual perception and their influence on the design of visualizations. Students will learn to confidently specify data by dimension, feature types, and structure and select appropriate visual attributes for a given specification. They learn the most important visualization forms for 2-, 3- and multidimensional observation spaces as well as for scalar, vectorial, tensor-valued and multidimensional features. They will be able to select suitable techniques for the respective visualization task.
The course work will familiarize students with basic presentation and interaction techniques and teaches them to thoroughly implement them in an interactive visual analysis system. It introduces important visualization frameworks and allows students to gather practical experience with them.