Course Detail
Course Components:
Enrollment Information
Enrollment Requirement:
Prerequisites: 'C' or better in CS 3500 AND ((MATH 1210 AND 1220) OR (MATH 1310 AND 1320) OR (MATH 1311 AND 1321) OR AP Calc BC score of 4+).
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.