Email:
Meeting time and venue:
Melville Library W4530, Tu Th 6:50 - 8:10 pm
Summary:
The course emphasizes a hands-on
approach to scientific, medical, and information visualization, and
visual analytics. Topics include: traditional visualization techniques,
the visualization process, visual perception and cognition, basic
graphics and imaging concepts, volume and surface visualization, volume
graphics, visualization of sampled, observed, and computed data, flow
and vector field visualization. information visualization, and the
coupling of intelligent computing with visualization (visual
analytics). This course presents introductory as well as more
advanced topics on visualization, and students will have the opportunity
to further explore a topic of their choice by ways of a final
programming project. This year, the course will have a focus on information visualization and visual analytics. Topics on GPU acceleration have been (and will be) taught in a Special Topics course (Fall CSE 591) on GPU Programming.
Be sure to check out the
HALL
OF FAME 2005 and the
HALL
OF FAME 2007 that shows some of the images that students in previous
years produced for the labs and final project.
Graduate standing
Working knowledge of C/C++
Texts:
Required:
- Now You See It: Simple Visualization Techniques for Quantitative Analysis
by Stephen Few, Analytics Press, 2009.
For additional reference and on reserve in the Science
& Engineering library:
- "Information Visualization: Perception for
Design" 2nd edition, by Colin Ware, Morgan-Kaufman, 2004.
- "Visualization in Medicine" by B. Preim, D.
Bartz, Morgan-Kaufman, 2007.
- "Computer Graphics: Principles and Practice -
Second Edition in C" by J. D. Foley, A. van Dam, S.K. Feiner, J.F.
Hughes, Addison-Wesley, 1995.
- "Visualization Toolkit" by W. Schroeder, K.
Martin, and W. Lorensen, 2nd ed., Prentice Hall, 1998.
- "Digital Image Processing" by R. Gonzales and R.
Wood, Prentice-Hall, 2002.
- "The Visual Display of Quantitative Information"
by E. Tufte, Graphics Press, 1983.
- "Envisioning Information" by E. Tufte, Graphics
Press, 1990.
- "The Visual Display of Quantitative Information"
by E. Tufte, Graphics Press, 1983.
- "Real Time Volume Graphics
" by K. Engel, M. Hadwiger, J. Kniss, C. Rezk-Salama, and D. Weiskopf, A K Peters, 2006.
Grading:
Lab assignments: 40%
Final Project: 40%
Quizzes: 10%
Lab assignments:
There will be four labs. The labs are designed to give you a good exposure to standard
programming practices and techniques in visualization.
Final Project:
In the final project you may
choose among several advanced topics or suggest your own. You will first
write a proposal and then keep a log about your activites via a web
page. At the end of the semester, you will present your project to the
rest of the class and document your findings on the web page.
