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Undergraduate Record 2023-2024 [ARCHIVED RECORD]
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SYS 4021 - Linear Statistical Models
Effective Start Date: 08/01/2023
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. Prerequisite: CS 2100, APMA 3100 and APMA 3120.
Requisites: Must have completed (CS 2100 or CS 2110) OR (successfully completed the CS 2100 or CS 2110 place out test) AND (APMA 3100 or MATH 3100) AND (APMA 3120 or STAT 3120 or APMA 3110)
Credits: 4
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