University of Pittsburgh

Interdisciplinary Modeling and

Visualization

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Instructor: Liz Marai (marai at cs.pitt.edu)

Course Number: CS 2620

Term: Spring 2009

Day, Time, Location: Mon & Wed 11am - 12:15pm, SENSQ 6516

Credits: 3.0

Prerequisites: CS students: programming experience; non-CS students: project ideas. Undergraduate students need to obtain instructor's written permission first.

Grading: Letter grade.

Course Description: Learn how to do interdisciplinary visualization research, from soup to nuts, in one semester.  Or, why not, how to use visualization to analyze your own data!

This class discusses computer graphics, modeling and visualization techniques used to solve scientific problems.  In the second half of the class, students embark on a research progect.  Working in small groups, students identify scienctific problems, propose solutions involving computational modeling and visualization, design and implement the solutions, apply them to the problems, evaluate their success, and report on results.  Examples might include interactive software systems, quantitative analysis tools, or new applications of existing visualization methods.