Zeit: Mittwoch, 4. DS (13:00 bis 14:30)
Ort: 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.

This course is jointly provided with the CGV group:

Description

This lecture covers the basics and practices of 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.

Enrollment

  • Official enrollment (e.g., for exam): Selma
  • Communication and learning materials: OPAL
  • Enrollment to OPAL until 15.12.2025!

Schedule

Lectures take place in APB E023, in presence.
Note: Prof. Gumhold is on a research sabbatical, so the SciVis lectures will be provided only in video format. Thus, feel free to manage them at your desired pace.

Date Lecture (13:00 – 14:30) Course Work (14:50 – 16:20)
15.10 Introduction Introduction + E1 Intro: Dear Data
22.10. Perception
29.10. Visual Variables Intro E2: Multivariate Data
05.11. —-  no lecture or exercise. Please feel free to start with the SciVis videos
12.11 Multivariate Data Visualization 1 Online Consultation (Prof. Gumhold): <link>
19.11. —- Buß-und Bettag (no lecture or exercise)
26.11. Multivariate Data Visualization 2 E1+E2 Discussion + Intro E3: Networks
03.12 Visualizing Relations
10.12. Presentation & Interaction 1 E3 Discussion + Intro E4: Elevation Data
17.12. Presentation & Interaction 2
        [Optional] Time Visualization
21.12.2025 – 04.01.2026 —- Christmas & New Year (no lectures or exercises)
07.01 Introduction to Scientific Visualization (video) E4 Discussion + Intro E5: Volume Data
14.01 Data Preparation (video)
21.01. Volume Visualization (videos: 2 lectures) Online Consultation (Prof. Gumhold): <link>
28.01. Flow Visualization (video: 2 lectures) E5 Submission
04.02. Summary & Outlook E5 Discussion + Closing