CS 673 - Artificial Neural Networks and Forecasting

Institution:

California State University-San Marcos

Subject:

Description:

The subjects to be studied first include forecasting using statistical methods such as Box-Jenkins ARIMA models for time series analysis and forecasting with artificial neural networks. The applications include financial forecasting for stock prices, commodity trading volumes or currency exchange rates and other forecasting such as electric load, ocean temperature, river flow volume, and traffic flow. Then the current state-of-art forecasting methodologies from journals, conference proceedings, and books will be discussed. May not be taken for credit by students who have received credit for CS 697A. Enrollment Requirement: MATH 242 and 440. Prerequisite: CS 573 or 575.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.csusm.edu

Phone Number:

(760) 750-4000

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Semester

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