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QM364 Introduction to Business Forecasting

Updated: 10 December 2009
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study Online Level
Armidale Semester 1 Off Campus C - Internet access required
Armidale Semester 1 On Campus C - Internet access required
Intensive School(s) None
Supervised Exam There is a UNE Supervised Examination held at the end of the teaching period in which you are enrolled.
Pre-requisites 48cp and QM161
Co-requisites None
Restrictions QM230 or QM330 or QM264
Notes None
Combined Units QM264 - Introduction to Business Forecasting
Coordinator(s) Pauline Fleming (pfleming@une.edu.au)
Unit Description

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 (trend and seasonal variation); decomposition methods; exponential smoothing; forecasting with Box-Jenkins models.
Prescribed Material
Mandatory 		Shrink Wrapped Package(s):

Note: Students are expected to purchase prescribed material

Business Forecasting
ISBN: 9314994201253
Hanke, J.E. and Wichern, D.W., Pearson 9th ed. 2009
Note: CD Minitab Release 14 for Windows included
Text refers to: Semester 1 , On and Off Campus
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment
Title Exam Length Weight Mode No. Words
Assignment 1 10%
Assessment Notes
Word length not applicable owing to the statistical nature of the assignment.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-3 GA: 1, 2, 4, 6
Assignment 2 10%
Assessment Notes
Word length not applicable owing to the statistical nature of the assignment.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1, 2, 4, 6
Assignment 3 10%
Assessment Notes
Word length not applicable owing to the statistical nature of the assignment.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1, 2, 4, 6
Final Examination 2 hrs 70%
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-3 GA: 1, 2, 4, 6

Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. identify what information is required to determine accurate forecasting;
  2. select and use an appropriate forecasting method for a particular planning problem;
  3. use forecasting as an integral part of the decision-making process;
  4. use MINITAB software package to generate forecasts.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
 True True True
2 Communication Skills
 True True True
3 Global Perspectives
 True
4 Information Literacy
 True True True
5 Life-Long Learning
 True True
6 Problem Solving
 True True True
7 Social Responsibility
 True
8 Team Work
 True
   

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