Applied Time Series

Catalog description

The purpose of this course is to introduce students to the theory and methods of statistical time series analysis. Emphasis will be on practical modeling and prediction techniques for data collected sequentially in time. The theory of covariance-stationary stochastic process, which is the mathematical basis for these techniques, will be developed. Prerequisite(s): Undergraduate level STT 3700 Minimum Grade of D Course Level: Undergraduate Schedule Type(s): Lecture Grade Mode: Standard Term(s) Offered: Fall, Spring, Summer