DSC 450 - Data Mining

3 CR

This course in data mining techniques is designed for both computer information systems majors and business administration majors. In this course, students will explore and analyze data to support business intelligence 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 business managers to determine buying behavior, fraud detection, database marketing, market basket analysis, and information management. (This course is cross-listed with BUA 450 and CIS 450 and MAT 450)

Prerequisite(s): MAT 115, and CIS 255 or CIS 303 or CIS 330 or CIS 360 or permission of instructor.