MAT 488 - Introduction to Data Mining

This is an introductory course in statistical data mining. The course emphasizes the understanding and application of data mining methods and algorithms. Topics include data preparation, exploratory data analysis and visualization, cluster analysis, logistic regression, decision trees, association rules, model assessment, and other topics. Applications to real-world data will be illustrated using standard computer packages.

Prerequisite(s): MAT 282 or permission of instructor.
Co-requisite(s):
Credits: 3

Meets the Following Core Requirement: Capstone
Course Typically Offered:
Course Type: Mathematics