BA 512 Data Mining for Predictive Decision Making 3 Cr.
This course introduces data mining or knowledge discovery to provide business intelligence by analyzing massive amounts of data to find interesting patterns that can be used to assist decision making or provide predictions. Topics include decision trees, Bayesian classification, clustering, sequence clustering, association rules, time series analysis, neural networks, and others. Students are expected to analyze real-world data in business using data mining software. Pre-req: successful completion of BA 500 and BA 501 COURSE UNDER CONSTRUCTION; AWAITING APPROVAL BY UNIVERSITY CURRICULUM COMMITTEE.