DSCI 301 - Time Series

Institution:

Winthrop University

Subject:

Data Science

Description:

Description: In this course we will study techniques to analyze time series, such as stationary processes, forecasting techniques, ARMA (Autoregressive Moving Average) models, and non-stationary and seasonal models. Applications to areas such as pattern recognition, econometrics, mathematical finance, and weather forecasting will be discussed. Notes: Offered periodically.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.winthrop.edu

Phone Number:

(803) 323-2211

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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