Zeit: Mittwoch, 4. DS (13:00 bis 14:30)
Ort: virtual / APB E023
Umfang: 2V/2Ü/0P SWS
Sprache: Englisch

Leider ist dieser Inhalt nur in Englisch verfügbar. Aus praktischen Gründen wird der Inhalt unten in dieser Sprache angezeigt.

The course is jointly provided with the CGV group:


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.


(topics and schedule are tentative and subject to change!)
Date Live Event Lecture Topic Course Work
27.10. Lecture at 13:00 via BBB Motivation & Introduction Start Assignment 1
03.11. Perception & Visual Variables
10.11. Lecture Q&A at 13:00 Multivariate Data Visualization Part 1 Submission Assignment 1 (Nov 09), start Assignment 2
17.11. Multivariate Data Visualization Part 2
24.11. Visualizing Relations Submission Assignment 2 (Nov 23), start Assignment 3
01.12. Presentation & Interaction
08.12. Lecture Q&A at 13:00 Time Visualization
15.12. Introduction to Scientific Visualization Submission Assignment 3 (Dec 14), start Assignment 4
Christmas & New Year
05.01 Data Preparation
12.01. Volume Visualization Part 1 Submission Assignment 4 (Jan 11), start Assignment 5
19.01. Lecture Q&A at 13:00 Volume Visualization Part 2
26.01. Flow Visualization
02.02. Lecture Q&A at 13:00 Summary & Outlook Submission Assignment 5 (Feb 01)