SYS 4021

Linear Statistical Models

Course Description

Pre-Requisite(s): CS 2100, APMA 3100 and APMA 3120

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.


  • Julianne Quinn

     Rating

     Difficulty

     GPA

    3.65

     Sections

    2

    Last Taught

    Fall 2024