Course Detail
Course Components:
Introduction to the principles, methods, and techniques for effective visual analysis of scientific data. Students will explore many aspects of visualization, including techniques for scalar, vector, and tensor field data; surface and volume geometry representations and scientific animation. Students will acquire hands-on experience using visualization software to study applications including but not limited to those that arise in science, engineering, and medicine. A complementary course - CS 5630/6630 Visualization for Data Science - that focuses on visualization related to tabular data (e.g., graphs, text, and maps), will be taught each Fall Semester.