ECS 272: Information Visualization

ECS 272
Information Visualization
Effective Term
2016 Fall Quarter
Learning Activities
Lecture: 3 hours
Discussion: 3 hours
Advanced topics in information visualization: perceptually effective display methods, color design and selection, interaction models and techniques, focus-context techniques, distortion methods, large graph visualization techniques, visual data mining methods, and evaluation methods.
ECS 163 or ECS 175 recommended.
Enrollment Restrictions
Pass One and Pass Two open to Graduate Students in Computer Science only.

Summary of Course Content:

  1. Data and Image Models
  2. Visual Perception and Cognition
  3. Process of Data Visualization
  4. Space Perception and Display of Data in Space
  5. Purpose of Color and Principles of Using Color in Visualization and UI Design
  6. Interaction Models
  7. Browsing and Navigation
  8. Multivariate and Multidimensional Data
  9. Trees and Graphs for Representing Hierarchies and Complex Relations
  10. Evaluation of Visualization Design

Illustrative Reading

  • E Tufte, Envioning Information, Graphics Press, 1990
  • C Ware, Information Visualization, 2nd Edition, Morgan Kaufmann, 2004

Potential Course Overlap
Comparison of this course with other existing courses does not indicate any significant overlap. ECS 163 places significant emphasis on user interface design and provides adequate background for ECS 272. ECS 272 focuses on advanced research topics and prepares students for pursuing research in information visualization. ECS 273 was designed for non-CS major graduate students with the objective of exposing them to the latest visualization technology and how to apply the technology to particular application domains of their interest.

Course Category