CSS 402 Advanced Studies in Analytics

This course extends practices learned in previous courses towards advanced statistical techniques. Students use analytics to discover information from large/complex datasets. Topics include dimensional reduction, clustering, classification, and visualization for high dimensional data. Students are also introduced to the data mining (DM) stages and methodologies with examples stemming from domains such as marketing, e-commerce, and information systems. Pre-requisite(s0: Permission of Program Chair or designate. Co-requisite(s): None. 5 quarter hours

Credits

5