ECS 163: Information Visualization

Subject
ECS 163
Title
Information Visualization
Status
Active
Units
4.0
Effective Term
2019 Winter Quarter
Learning Activities
Lecture: 3 hours
Discussion: 1 hour
Description
Exploration and communication of a variety forms of data through visualization. Design principles of human-computer interaction and data visualization techniques. Authentic practices in designing and evaluating interactive visualization systems to combat information overload and engage users in analytic thinking. GE Prior to Fall 2011: SciEng. GE: SE, VL.
Prerequisites
ECS 032B or ECS 036C
Enrollment Restrictions
Pass One open to Computer Science and Computer Science Engineering Majors only.

Summary of Course Content

Students will gain a comprehensive understanding of the fundamentals of data visualization and develop the ability to create, implement, and assess various visualization designs. Students will acquire hands-on experience in building interactive data visualization applications for exploratory data analysis or compelling storytelling. Students will also work as a team to collaboratively develop a substantial visualization project.

  1. Introduction to Visualization
    1. The Value of Visualization
    2. The Process of Visualization
    3. Data Models
    4. Marks & Channels
    5. Effective Visual Encoding
  2. Perception
    1. Principles of Human-Computer Interaction
    2. Designing for Graphical Perception
    3. Color
  3. Visualization Implementation
    1. Web Programming Basics (HTML/CSS/JS)
    2. Graphing with SVG and Canvas
    3. Implementing Interactions & Animations
  4. Visual Navigation Techniques
    1. Interaction Techniques
    2. Animations
    3. Visual Storytelling
  5. Data Visualization Techniques
    1. Multidimensional and Multivariate Data
    2. Mapping & Cartography
    3. Graph and Network Data
    4. Time-Oriented Data
    5. Text Data
  6. Visualization System Design
    1. User-Centered Designs and Task Analysis
    2. Evaluation and Usability
  7. Advanced Topics
    1. Visual Analytics
    2. Research Frontiers

Illustrative Reading
Visualization Analysis and Design, Tamara Munzner, A K Peters/CRC Press, December 2014.

Potential Course Overlap
This course does not have a significant overlap with any other course.

Course Category