Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: "C" or better in CS 3500 AND (MATH 1210 OR MATH 1320).
Description
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.