MSCI312-07S2 (C) Semester Two 2007

Forecasting and Decision Analysis

14 points

Details:
Start Date: Monday, 16 July 2007
End Date: Thursday, 15 November 2007
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 29 July 2007
  • Without academic penalty (including no fee refund): Sunday, 14 October 2007

Description

Principles of decomposition for forecasting; forecasting using exponential smoothing, ARIMA, neural network, and business forecasting. Introduction to Bayesian decision analysis and multi-criteria decision analysis.

Principles of decomposition for forecasting; forecasting using exponential smoothing, ARIMA, neural network, and business forecasting. Introduction to Bayesian decision analysis and multi-criteria decision analysis.

Learning Outcomes

To cover these topics from an MS/OR practitioner's viewpoint. To ensure that you are aware of, and can apply, the range of forecasting and decision analysis techniques available.

Prerequisites

(1) MSCI210 or 22 points of 200 level courses in STAT; (2) MATH104 or MATH 105 or MATH106 or MATH107 or MATH108 or MATH109 or MATH116 or MATH127 or MATH171; (At the discretion of the HOD (2) may be replaced by good performance in (1)).

Restrictions

MSCI202

Course Coordinator / Lecturer

Don McNickle

Lecturer

John Raffensperger

Assessment

Assessment Due Date Percentage  Description
Forecasting Assignment 10 Sep 2007 25% Forecasting Assignment
Decision Analysis Assignment 1 20 Sep 2007 8% Decision Analysis Assignment 1
Decision Analysis Assignment 2 27 Sep 2007 8% Decision Analysis Assignment 2
Decision Analysis Assignment 3 11 Oct 2007 9% Decision Analysis Assignment 3
Final Exam 50% Final Exam

Textbooks / Resources

Required Texts

Makridakis, Spyros G. , Wheelwright, Steven C., Hyndman, Rob J; Forecasting : methods and applications ; 3rd ed. ; Wiley, 1998.

Winston, Wayne L; Operations research : applications and algorithms ; 3rd ed; Duxbury Press, 1994.

Course links

Library portal

Notes

Grading:
We standardise your marks to a common mean and standard deviation in order to calculte your final grade.

Departmental Academic Policies
If you want a hard copy of this document, please ask the course co-ordinator. The Department assumes that you have read this document. You should also read the “Information related to courses and assessment” on page 350 of the Enrolment Handbook 2007 (also in UC Calendar under “General Course and Examination Regulations”).

Dishonest Practice:
The University of Canterbury considers cheating and plagiarism to be serious acts of dishonesty. All assessed work must be your own individual work unless specifically stated otherwise in the assessment guidelines. Material quoted from any other source must be clearly acknowledged. You must not copy the work of another person (student or published work) in any assessment including examinations, tests and assignments.  Any person who is found to have copied someone else's work, or to have allowed their work to be copied, will receive a fail grade for that piece of assessment and may face disciplinary action which may lead to a fine, community service or exclusion from the University.

Indicative Fees

Domestic fee $486.00

International fee $1,984.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Management, Marketing and Tourism .

All MSCI312 Occurrences

  • MSCI312-07S2 (C) Semester Two 2007