MATH 6500 - Factor and Cluster Analysis

Credits: (3)
Typically Taught Spring Semester: Full Sem
Description: Students learn the methodology used in big data applications, learn how to make sense out of large data, understand how to analyze survey data with factor analysis, determine distinct groups with the data using cluster analysis, and understand relationships within data. The course will make use of statistical analysis software, and students will be expected to understand both the results of the output and theoretical considerations of the analysis.
Pre-requisite(s): MATH 2270 and (MATH 3450 or MATH 3410 or MATH 4400 or CS 4580) or permission of instructor.