10809 (v.2) Business Forecasting 201

Area:	School of Information Systems
Credits:	25.0
Contact Hours:	3.0

The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline.

Seminar:	1 x 3 Hours Weekly
Prerequisite(s):	10993 (v.3) Business Statistics 101 or any previous version

Syllabus:	Classification of models and choice criteria, autocorrelation and differencing, time series models including moving averages, exponential smoothing, adaptive filtering, decomposition methods and Box-Jenkins methodology/ARIMA models, simple regression models, multiple regression models, quantitative and qualitative forecasting techniques.

To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement.

Field of Education:	080300 Business and Management (Narrow Grouping)
Funding Cluster:	02 - Accounting, Administration, Economics, Commerce
SOLT (Online) Definitions*:	Not Online *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark
Availability
Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.

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