Subject: Commerce
Credit units: 3
Offered: Term 1 only
Weekly hours: 2.5 Lecture hours and .5 Seminar/Discussion hours
College: Edwards School of Business
Department: Finance and Management Science

The process of business forecasting involves the study of historical data to discover their underlying tendencies and patterns and the use of this knowledge to project the data into future time periods. Topic areas include moving averages and exponential smoothing methods, simple and multiple regression analysis, time series analysis, and Box-Jenkins (ARIMA) methodology. Each module is accompanied with a computer lab class where students get hands on experience in applying the associated forecasting technique. An important component of the course is a forecasting project where students choose a variable of interest and forecast it by applying the methods taught in the lectures and lab classes.

Permission of the department required.
Prerequisite(s): COMM 207.3.

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