EMEN-5620 (3) Data Mining and Screening Experiments for Engineering Research

Combine intermediate and advanced statistical methods with practical research applications. Develops commonly used statistical models such as Two and Three-Way Analysis of Variance and the analysis of Fractional Factorial Designs for the solution of common business and industrial research problems. The statistical models are implemented and interpreted in the context of actual data sets using available statistical software. Requisites: Requires prerequisite course of EMEN 5610 (minimum grade C+). Restricted to students with 57-180 credits (Junior or Senior) or graduate students only.