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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.
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.
(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)).
MSCI202
Don McNickle
John Raffensperger
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Grading:We standardise your marks to a common mean and standard deviation in order to calculte your final grade.Departmental Academic Policies and Guidelines:A summary of Departmental academic policies on course grading, aegrotat considerations, etc. is available under:http://www.mang.canterbury.ac.nz/Courses/index_courses.htmIf you want a hard copy of this document, please ask the course co-ordinator. The Department assumes that you have read this document.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.
Domestic fee $463.00
International fee $1,891.00
* 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.
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