Data Visualization [VIS]

This course is jointly provided with the CGV group:

• Prof. Dr. rer. nat. Stefan Gumhold, Exercise: Ludwig Schmutzler

News

• A new link for the hybrid lecture is available on the OPAL lecture page.
• The course will start with a live lecture on Oct 13, 2021 at 13:00 in the APB-E023! The lecture will be streamed for remote participation. The link will be provided within the OPAL course.
• The enrollment will start on Oct 1, 2021. All students need to enroll via the OPAL course. CMS students have to additionally enroll via SELMA.

Description

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.

Organization

• This term, the course will be held virtually.
• Lectures and exercise introductions will be provided as videos and live streams.
• The course will be managed via OPAL.

Schedule

Lecture

Online: Upload on OPAL
Remote: Conference-Link on OPAL
Hybrid: Lecture (APB-E023, 70 max) + Remote (Conference-Link on OPAL, 120 max) + Upload of Capture

Course Work

We will publish the individual assignments on OPAL on the days given in the schedule together with accompanying explanation videos. The empty dates can be used to work on the assignments.