ECE 595E - Visualization Techniques
Course Details
Lecture Hours: 3 Credits: 3
This is an experiential learning course.
Counts as:
Experimental Course Offered:
Fall 2006
Catalog Description:
This course will cover topics in visualization: scientific visualization, medical visualization, information visualization, and volume rendering techniques.
Required Text(s):
- The Visualization Toolkit , 2nd Edition , W. Schroeder, M. Martin, and W. Lorenson , Prentice Hall Computer Books , 1997 , ISBN No. 0139546944
Recommended Text(s):
None.
Learning Outcomes:
A student who successfully fulfills the course requirements will have demonstrated:
- an understanding of the design issues for creating effective visualizations. [b,c,j,k]
- an ability to apply visualization techniques to an actual visualization problem and associated dataset. [a,c,e,k]
- an ability to read, evaluate, and present technical papers. [a,g]
- an understanding of scalar, volume, and surface-based visualization techniques. [a]
- an understanding of the issues and techniques for applying visualization to one of the following visualization problems: medical, flow, scientific, and information (abstract data). [a,b,j]
- an ability to design an effective visualization solution for a problem. [a,c,e,k]
- an ability to present their design and resulting system. [g]
Lecture Outline:
Week | Topic |
---|---|
1 | Organization and Introduction to visualization: goals, data sources, data representation |
2 | Scalar Visualization: color, geometry, texture |
3 | Volume Visualization: contouring ray casting |
4 | Volume Visualization: splatting, transfer functions, acceleration |
5 | Perception: visual mechanisms and characteristics, perception of pattern, color, depth, and motion |
6-7 | Visualization Design/Flow Visualization: design of effective visualizations; traditional flow vis techniques |
8 | Review of Latest Work in Volume Rendering and Flow Visualization (review of papers from this past year's visualization conferences) |
9-10 | Medical Visualization: goals, data sources, medical image processing, segmentation, visualization techniques, applications, validity, assessment and accuracy |
11-12 | Information Visualization: Infovis goals and problems, glyph-based visualization, visualization of text, databases, visualization of networks, relationships, high-dimensional data, dynamic infovis, web-based infovis, distortion viewing |
13 | Advanced Display Techniques: interaction, VR, haptics, sonification, true 3D displays |
14 | Future Trends/Project Presentations |
15 | Project Presentations |
Assessment Method:
none