TEM 550 - Data Mining

3 CR

This course in data mining techniques is designed independent of academic major. In this course, students will explore and analyze data to support intelligent applications. Methods used include cluster analysis, decision trees, classification of data, estimation and prediction, and association techniques. The goal of data mining is to take data and convert collected data into information readily usable by decision makers. (This course is cross-listed with DSC 550.)

Prerequisite(s): Graduate Standing or Permission of the Instructor.