QM264 Introduction to Business Forecasting
Updated: 14 November 2006| Credit Points | 6 | |||||||||
| Offering |
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| Online level | Level C - Internet access required | |||||||||
| Intensive School(s) | None | |||||||||
| Supervised Exam | June | |||||||||
| Pre-requisites | 24 cp including QM 161 | |||||||||
| Co-requisites | None | |||||||||
| Restrictions | QM 230, 330; 364 | |||||||||
| Notes | None | |||||||||
| Combined Units |
QM364 - Introduction to Business Forecasting |
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| Coordinator(s) | Pauline Fleming (pfleming@une.edu.au) | |||||||||
| Unit Description |
This unit comprises up to 39 lecture hours and 13 laboratory/workshop hours. Emphasis is on applications to business forecasting using real data sets (commodity prices, sales, stock exchange) in examples and exercises. Topics include: simple and multiple regression models; time series regression (ie trend and seasonal variation); decomposition methods; exponential smoothing; forecasting with Box-Jenkins models. |
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| Prescribed Material Mandatory |
Textbook information is only available from 2008 units onwards. | |||||||||
| Recommended Material Optional |
Textbook information is only available from 2008 units onwards. | |||||||||
| Disclaimer | Offer of some subjects is subject to viability. Information in these unit descriptions is subject to change prior to commencement of semester. |