Visualization refers to the use of computer-supported, interactive, visual representations to help people think about data. While scientific visualization focuses primarily on physical or geometric data, information visualization
focuses on abstract data such as tables, networks, hierarchies, and texts.
In this course, we will read and discuss the landmark papers of this new research area as well as some of the recent research papers focusing on the visualization of the World-Wide Web. The objectives are to:
Learn about the variety of information visualization techniques that have already been developed
Develop skills at critiquing visualization techniques and their application to specific tasks
Learn how to design new, innovative information visualizations
The students will be expected to contribute to the seminar through presentations of literature and participation in discussions. The student will also be asked to design a visualization for a task and data of their choosing.
Lecturer
Jock D. Mackinlay
Literature
Primary Text: Readings in Information Visualization: Using Vision to Think by S. K Card, J. D. Mackinlay, and B. Shneiderman
Prerequisites
Human-computer interaction (dHCI) or similar
Course Language
English
Credits
2 points/10 ECTS credits