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 620-262 Decision Making

Credit Points

12.5

HECS Band

2

Coordinator

Dr A Byrne

Prerequisites

620-261.

Semester

2 (view timetable)

Contact

36 lectures (three per week) and 11 tutorial/practice class hours (one per week)

Subject Description

This subject introduces the essential features of decision-making situations encountered in operations research investigations, and what kind of practical problems have these features. It develops a number of basic mathematical approaches to such situations and the techniques used to solve decision-making situations represented by these approaches. The theoretical foundations of these techniques are also considered. Students should develop the ability to construct formal mathematical models for practical decision-making situations; to solve a number of two-person games, including zero-sum and non-zero-sum games, cooperative and non-cooperative games; to use linear programming and dynamic programming techniques in the solution of a number of multi-objective optimisation problems; and to evaluate rules for decision-making problems under strict uncertainty. This subject demonstrates the complexity of decision-making situations encountered in operations research investigations, the extent and limitations of a number of operations research techniques used to solve such problems, and the important role that linear algebra and calculus play in the development of these techniques.

A selection of topics in decision analysis will be covered, including single-stage and multi-stage decision models, in particular those using linear programs; zero-sum games; preference relations and optimisation; multi-criteria decision making; and decision trees. Use of computer packages and internet resources will also be covered.

Assessment

Up to 24 pages of written assignments and a 3-hour end-of-semester written examination.



Search : Index : Faculty of Science : Mathematics and statistics
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Next 620-270 Applied Statistics
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