SYS 4021
Linear Statistical Models
Course Description
Prerequisites
CS 2100 or SYS 2201, and APMA 3100, and APMA 3120 or equivalent
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. Pre-requisites: CS 2100 or SYS 2201, and APMA 3100, and APMA 3120 or equivalent.