Interdisciplinary Scientific Visualization

David H. Laidlaw, Daniel Acevedo

Computer Science Department, Brown University

email: dhl[at]cs.brown.edu, daf[at]cs.brown.edu

homepage of authors: http://www.cs.brown.edu/people/dhl/, http://www.cs.brown.edu/people/daf/

homepage of course: http://www.cs.brown.edu/courses/cs237/

• Title of visualization course: Interdisciplinary Scientific Visualization

• Aimed at what category of students: Students of Computer Science

• Objectives of the course:

  • In this class we will learn about solving scientific problems using computer graphics and visualization. Students will work in small multi-disciplinary groups to identify scientific problems, propose solutions involving computational modeling and visualization, design and implement the solutions, apply them to the problems, and evaluate their success. Solutions may be, for example, interactive software systems, immersive CAVE applications, or new applications of existing visualization methods.

• List topics of course:

  • Introduction
  • Open problems in visualization
  • Understanding Imaging Data
  • Data modeling

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