Time: Wednesday, 4th period (13.00 - 14.30)
Location: virtual
Quantity: 2L/2E/0P semester hours
Language: English

The course is jointly provided with the CGV group:

News

  • The course will start with a live lecture via a video conference tool on Oct 28, 2020 at 13:00! The link will be provided within the OPAL course.
  • The enrollment will start on Oct 5, 2020. CMS students have to enroll via SELMA, all others please enroll via jExam.

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 video and/or live streams.
  • Important: There will be live sessions (via video calls) where course participants are expected to be present, for both lecture and exercise.
  • The course will be managed via OPAL. We will add participants to the OPAL course after the enrollment phase.

Schedule

(topics and schedule are tentative and subject to change!)
Date Live Event Lecture Topic Resources Course Work
28.10. Lecture at 13:00 via BBB Motivation & Introduction Start Assignment 1
04.11. Perception & Visual Variables
11.11. Multivariate Data Visualization Part 1 Submission Assignment 1, start Assignment 2
18.11. Multivariate Data Visualization Part 2
25.11. Visualizing Relations Submission Assignment 2, start Assignment 3
02.12. Presentation & Interaction
09.12. Time Visualization
16.12. Introduction to Scientific Visualization Submission Assignment 3, start Assignment 4
Christmas & New Year
06.01 Data Preparation
13.01. Volume Visualization Part 1 Submission Assignment 4, start Assignment 5
20.01. Volume Visualization Part 2
27.01. Flow Visualization
03.02. Summary & Outlook Submission Assignment 5