This unit gives guidelines for the formulation of management science models to provide practical assistance for managerial decision making. Optimisation methods are developed, and the complexity and limitations of different types of optimisation model are discussed so that they can be accounted for in model selection and in the interpretation of results. Linear programming methods are developed and extended to cover variations in the management context to logistics, networks, and strategic planning. Other topics may include decision analysis, stochastic modelling and game theory. The unit covers a variety of case studies incorporating the decision problems faced by managers in business.
Unit details and rules
Academic unit | Business Analytics |
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Credit points | 6 |
Prerequisites
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QBUS2310 |
Corequisites
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None |
Prohibitions
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ECMT3610 or ECMT3710 |
Assumed knowledge
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None |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Daniel Oron, daniel.oron@sydney.edu.au |
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Lecturer(s) | Daniel Oron, daniel.oron@sydney.edu.au |
Tutor(s) | Renjie Yu, renjie.yu@sydney.edu.au |