units
ETX3231
Faculty of Business and Economics
This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Level | Undergraduate |
Faculty | Faculty of Business and Economics |
Organisational Unit | Department of Econometrics and Business Statistics |
Offered | Not offered in 2015 |
Coordinator(s) | Associate Professor Ann Maharaj |
Basic forecasting tools. Review of basic time series analysis techniques. Moving averages and exponential smoothing forecasting methods. Box-Jenkins method of forecasting. Comparison of forecasting techniques. Introduction to time series regression and dynamic models. Applications to time series from the accounting, economics, banking, finance and management areas. Excel and SPSS will be used.
The learning goals associated with this unit are to:
Within semester assessment: 40%
Examination: 60%
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
See also Unit timetable information