SYS 4021 - Linear Statistical Models

Institution:

University of Virginia-Main Campus

Subject:

Systems and Information Engineering

Description:

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.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.virginia.edu/

Phone Number:

(434) 924-0311

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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