*****COURSES ARE SUBJECT TO CHANGE*****
Concepts and methods for data analysis, information and scientific visualization, and effective communication of technical data. Topics include: mathematical foundations; scalar, vector, and tensor field visualization; multivariate visualization; and tree and graph visualizations. Applications are drawn from social-network analysis; environmental and space science; and medical imaging. Evaluation based on examinations, programming exercises, and a project. (Formerly Visualization and Computer Animation.) Prerequisite(s): course 160 or equivalent. Concurrent enrollment in course 161L required. S. Lodha, A. Pang
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