Data Science

Catalog description

This class focuses on methods for computer analysis of data with focus on gaining insights. A number of algorithm families (Clustering, Classification, Association Mining, Regression and Bayesian Models) are visited. Practical and efficient implementation of existing algorithms is emphasized together with application of developed implementations on actual datasets. Lecture Hours: 3 Repeatability: May be repeated for credit one time. Grade Mode: Normal, Audit College Restrictions: School of Comp & Cyber Science Course Level Restrictions: Graduate Semester Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.