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: 80300 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.