COURSES

SYS 421: Linear Statistical Models - (Fall 2006, Fall 2005)

Hours: 4.0

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.

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

SYS 730: Time Series Analysis - (Spring 2006)

Hours: 3.0

This course introduces concepts in both univariate and multivariate time series analysis. The course will include both applications and theory. You will learn about different time series models as well as how to estimate them and compute future forecasts using them.

Prerequisites: SYS 421, APMA 311 or 312.

STAT 280: Elementary Applied Statistics - (Fall 2004)

Hours: 4.0

This course is designed to introduce students to statistical methodology useful for data analysis. Emphasis is placed on applications through working examples and computer-assisted data analysis in lab sessions.

Teaching Statement