units

ETW3232

Faculty of Business and Economics

Undergraduate - Unit

This unit entry is for students who completed this unit in 2013 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.

print version

6 points, SCA Band 2, 0.125 EFTSL

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LevelUndergraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedBerwick Second semester 2013 (Day)
Coordinator(s)Dr Harmindar Nath

Synopsis

The unit aims to introduce the art of forecasting via a modelling approach. It will cover the nature and essentials of forecasting, residual analysis, the moving averages and exponential smoothing forecasting techniques, decomposition methods of forecasting, regression and ARIMA forecasting models. Applications will include areas of accounting, economics, banking, finance, marketing and management. Excel and SPSS will be used.

Outcomes

The learning goals associated with this unit are to:

  1. demonstrate an understanding of the basics of the art of forecasting, recognise limitations of forecasting models and describe the importance of following a pragmatic approach
  2. discuss the importance of the role of graphs, forecast errors and statistics in building a forecast model, and the use of prediction intervals
  3. apply acquired skills and knowledge to forecast economic, business and financial time series using smoothing, decomposition, Regression and ARIMA forecasting techniques with the help of Excel and or SPSS
  4. evaluate competing forecasting models
  5. apply acquired skills in interpreting computer output and report writing.

Assessment

Within semester assessment: 40%
Examination: 60%

Chief examiner(s)

Contact hours

3 hours per week

Prerequisites

Students must have passed one of the following: ETG1102, ETW1102, ETX1100 or ETW1000 before undertaking this unit.

Prohibitions

ETX3231, ETC2450, MAT3257