|Zeit:||Mittwoch, 4. DS (13:00 bis 14:30)|
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.
|Date||Live Event||Lecture Topic||Course Work|
|28.10.||Lecture at 13:00 via BBB||Motivation & Introduction||Start Assignment 1|
|04.11.||Perception & Visual Variables|
|11.11.||Lecture Q&A at 13:00||Multivariate Data Visualization Part 1||Submission Assignment 1 (Nov 10), start Assignment 2|
|18.11.||Multivariate Data Visualization Part 2|
|25.11.||Visualizing Relations||Submission Assignment 2 (Nov 24), start Assignment 3|
|02.12.||Presentation & Interaction|
|09.12.||Lecture Q&A at 13:00||Time Visualization|
|16.12.||Introduction to Scientific Visualization||Submission Assignment 3 (Dec 15), start Assignment 4|
|Christmas & New Year|
|13.01.||Volume Visualization Part 1||Submission Assignment 4 (Jan 12), start Assignment 5|
|20.01.||Lecture Q&A at 13:00||Volume Visualization Part 2|
|03.02.||Lecture Q&A at 13:00||Summary & Outlook||Submission Assignment 5 (Feb 02)|