Introduction to Information Visualization (GDV)
6/7. Semester
5 ECTS | 4 SWS
Continuous Assessment (CA)
Make Data Visible: Learn how to present information clearly, create your own visualizations, and evaluate what makes them effective.
Contents
- Foundation and history
- Terms and definitions
- Tasks and goals of InfoVis
- Design process and visualization pipeline
- Data and information
- Data sources, formats, and types
- Basic statistics
- Basic principles of cognition and psychology
- Semantics and semiotics
- Visual variables and encoding
- Visualization techniques
- Visualization taxonomy and design patterns
- Interactions and UI in infovis
- Current developments
Competencies
Students are able to
- understand foundational concepts, techniques, and methodologies of information visualization.
- employ relevant cognitive-psychological aspects in the context of visualization.
- identify different visualization and interaction techniques, as well as their benefits and drawbacks.
- critically assess existing visualization systems.
- design and develop custom visualization systems.
Literature
- C. O. Wilke, Fundamentals of Data Visualization. Sebastopol, CA, USA: O’Reilly Media, 2019.
- S. Few, Information Dashboard Design, 2nd ed. Burlingame, CA, USA: Analytics Press, 2013.
- I. Meirelles, Design for Information. Beverly, MA, USA: Rockport Publishers, 2013.
- A. Cairo, The Truthful Art. San Francisco, CA, USA: New Riders, 2016.
- C. Ware, Information Visualization: Perception for Design, 4th ed. Cambridge, MA, USA: Morgan Kaufmann, 2019.
- Q. Wang et al., "A survey on ML4VIS: Applying machine learning advances to data visualization", IEEE TVCG, 2022.
Lecturer
Recommended Previous Knowledge
Module Details
| Semester |
6/7 |
| Lecture Language |
German |
|
Frequency
|
Summer Term
|
| Credit Points (ECTS)
|
5 |
| Course Coordinator |
Prof. Dr. Till Nagel |
| Duration |
1 Semester |
|
Course Achievement
|
None |
|
Prerequisite for exam
|
None |
|
Exam
|
Continuous Assessment (CA) |
Weekly Hours (SWS)
| Lecture |
2 SWS |
| Exercises |
2 SWS |
| Sum |
4 SWS |
Work Load
| Lecture |
30 h |
| Self Study |
90 h |
| Assignments |
30 h |
| Sum |
150 h |
