Lecture Information Visualization

Lecturer: Prof. Andreas Butz
Supervisors: Xuedong Zhang, Michelle Dutoit, Rifat Amin

Tutors: Anahita Marashi

Hours per week: 2 (Lecture) + 2 (Tutorial)
ECTS-Credits: 6
Module: Module Assignments

• News
• Syllabus
• Target Group
• Dates and Locations
• Lecture Schedule
• Tutorial Schedule
• Registration

News

• 17.09.2026 The first lecture will be on Wednesday, 14 October 2026.
• 17.09.2026 There is a parallel course Practical Information Visualization in which the topics of this lecture are applied in a practical project. Spots there are assigned via the central registration for practicals.
• 17.09.2026 All further information, materials and dates are published on Moodle.

---

Syllabus

The lecture introduces core aspects in information visualization. The focus will be on human visual perception, visualization of multivariate data, and interaction concepts for visualization systems. Based on these concepts, strategies will be introduced that allow graphs, networks, trees, text-based data and time-based data to be visualized. Furthermore, the lecture presents techniques to efficiently use limited display space.

---

Target Group

• Students of media informatics (Medieninformatik) (Master) and computer science (Informatik) (Master) with prior knowledge in media informatics (Medieninformatik). This lecture is obligatory for Master MCI (Mensch-Computer Interaktion).

---

Dates and Locations

Lecture: Mittwoch, 12:00 - 14:00, Frauenlobstr. 7a, Rm. 151

Tutorials:
Gruppe 01: Do 14-16 Uhr c.t. Theresienstr. 39 / B133
Gruppe 02: Do 16-18 Uhr c.t. Theresienstr. 39 / B133
Gruppe 04: Fr 12-14 Uhr c.t. Theresienstr. 39 / B133

Lecture Schedule

Lecture topics are subject to change.

Date	Topic
14.10.2026	Lecture 1: Introduction and Motivation
21.10.2026	Lecture 2: Perception and Color
28.10.2026	Lecture 3: Marks and Channels
04.11.2026	No Lecture
11.11.2026	Lecture 4: Good Visualization
18.11.2026	Lecture 5: Tasks and Types
25.11.2026	Lecture 6: Idioms for Multidimensional Data
02.12.2026	Lecture 7: Idioms for Graph Data
09.12.2026	Lecture 8: Idioms for Hierarchies
16.12.2026	Christmas Lecture
06.01.2027	Lecture 9: Idioms for specific data types
13.01.2027	Lecture 10: Interaction
20.01.2027	No Lecture
27.01.2027	Lecture 11: Evaluation
03.02.2027	Presentation of IV Praktikum results

Tutorial Schedule

Topic	Date (Group 1-2)	Date (Group 3-5)
Assignment 1: Perception and Color	05.11.2026	06.11.2026
Assignment 2: Marks and Channel	19.11.2026	20.11.2026
Assignment 3: Good Visualization and Tasks & Types	03.12.2026	04.12.2026
Assignment 4: Idioms and Interaction	28.01.2027	29.01.2027
Q&A	04.02.2027	05.02.2027

---

Registration

Please register via LSF and Moodle for the course. Moodle Key: iv-ws2627