ECE 69500 - Visual Analytics
Note:
The course is heavily project-based, with a semester project for individual or pairs of students working on a visual analytics research topic. The project involves all stages of a research project, including proposal, literature review, design, alpha release, beta release, final release, validation, paper writing, reviewing, and presentation. No final exam; a take-home midterm exam has been held halfway through the course in previous offerings.
Course Details
Lecture Hours: 3 Credits: 3
Counts as:
Experimental Course Offered:
Fall 2009, Fall 2011, Fall 2013
Requisites:
None
Requisites by Topic:
Introductory knowledge of one of the following areas: data analysis, knowledge management, statistics, computer graphics, visualization
Catalog Description:
This course introduces students to visual analytics: the use of interactive visual interfaces to facilitate analytical reasoning. The course contents will include both theoretical foundations of this interdisciplinary science as well as practical applications of integrated visual analysis techniques on real-world problems.
Required Text(s):
None.
Recommended Text(s):
- Illuminating the Path: The Research and Development Agenda for Visual Analytics , J. J. Thomas and K. A. Cook , IEEE Computer Society , 2005 , ISBN No. 13: 978-0769523231
Lecture Outline:
| Week | Major Topics |
|---|---|
| 1 | Course introduction, overview, and review of visualization and data analysis |
| 2-3 | Analytical reasoning and critical thinking |
| 4 | Cognition and perception |
| 5-6 | Data representations, transformations and statistics for visual reasoning |
| 7-8 | Visual representations |
| 9 | Interaction and interface design |
| 10 | Production, presentation and dissemination |
| 11 | Collaborative visual analytics |
| 12 | Evaluation |
| 13 | New technology for visual analytics |
| 14-15 | Advanced topics in visual analytics |