Computer Science and Engineering

CSE 161 Introduction to Data Visualization

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 CMPS 161.)


Prerequisite(s): CSE 160 or equivalent. Concurrent enrollment in CSE 161L is required.