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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. Decision analysis: a selection of topics in decision analysis, 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; decision trees. Use of computer packages and Internet resources. |
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
Prev 620-261 Introduction to Operations Research
Next 620-270 Applied Statistics
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