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Postgraduate |
(SCI)
|
Leader: Assoc Prof Philip Rayment
Offered:
Clayton First semester 2005 (OCL)
Gippsland First semester 2005 (OCL)
Synopsis: Major topics covered include: (i) a range of basic optimization techniques applicable to quantitative decision making, including linear programming, (ii) techniques for collecting, exploring, presenting and interpreting data, (iii) modeling and calculation of probabilities relating to outcomes of chance experiments and random variables derived from them, (iv) techniques for using computer-generated random numbers to simulate observations on random variables and simple probability models, and (v) techniques for making inferences about population parameters from sample data.
Assessment: Examination (3 hours): 60%; 3 Assignments: 30%; on-line activities: 10%. Students will be required to pass at least two assignments and the final examination to be awarded a pass grade in the unit.
Prerequisites: MTH9010