This course presents principles and methods for visualizing data resulting from scientific measurements and simulations. The course will rely on lectures and readings to describe the theoretical foundation of a particular technique. Course projects will focus on the practical application of these techniques to real-world datasets. This course is aimed at graduate students and senior undergraduates in the natural sciences, engineering, medicine, and computer science.

Topics include:

• Visualization Software Toolkits
• Perception and Visualization Design
• Surface Extraction
• Volumetric Methods
• Flow Visualization Techniques
• Information Visualization Techniques
• Virtual Reality Interfaces for Visualization

This course is modeled after two excellent scientific visualization courses. The emphasis on perception in design and the use of Colin Ware's book as a text comes from Russell Taylor's UNC-CH course Visualization in the Sciences. The readings and emphasis on rendering algorithms are due to David Ebert's Purdue course Visualization Techniques.