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 1 Intro E2: Multivariate Data
05.11. —  no lecture or exercise. Please start with the SciVis videos! 
12.11 Visual Variables 2 Online Consultation (Prof. Gumhold): <link>
19.11. — Buß-und Bettag (no lecture or exercise)
26.11. Multivariate Data Visualization 1 E1 Discussion
03.12 Multivariate Data Visualization 2
10.12. Visualizing Relations E2 Discussion + Intro E3: Networks
17.12. Presentation & Interaction 1 Intro E4: Elevation Data
21.12.2025 – 04.01.2026 — Christmas & New Year (no lectures or exercises)
07.01 Presentation & Interaction 2 — 
Scientific Visualization Lectures in Video Format (1 for Intro, 1 for Data Preparation, 2 for Volume Vis, 2 for FlowVis)
14.01 E3+E4 Discussion + Intro E5: Volume Data
21.01 Online Consultation (Prof. Gumhold): <link>
28.01 — 
04.02 Summary & Outlook E5 Discussion + Closing