Jul 15, 2018  
Undergraduate Record 2006-2007 
    
Undergraduate Record 2006-2007 [ARCHIVED RECORD]

SYS 421 - Linear Statistical Models


This course shows how to use linear statistical models for analysis in engineering and science. The course emphasizes the use of regression models for description, prediction, and control in a variety of applications. Building on multiple regression, the course also covers principal component analysis, analysis of variance and covariance, logistic regression, time series methods, and clustering. Course lectures concentrate on the theory and practice of model construction while laboratories provide a series of open-ended problem solving situations that illustrate the applicability of the models. (Y)

Prerequisites & Notes
Prerequisite: SYS 360, APMA 312, and major in systems engineering.

Credits: 4