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Prescriptive analytics is concerned with using quantitative tools to turn data into managerial and operational decisions, in both deterministic settings and under risk. This unit introduces mathematical optimisation modelling, with applications to problems in management, logistics, economics, science and engineering. Students will learn techniques for rigorously formulating complex decision-making problems as mathematical models, state-of-the-art computational tools to solve the models, how to incorporate measures of risk into models, and how to interpret outputs of models in the relevant decision-making context. It is expected that students have a good understanding of fundamental data analytics concepts such as vectors, matrices, probability, and the Python programming language.
Study level | Postgraduate |
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Academic unit | Business Analytics |
Credit points | 6 |
Prerequisites:
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ECMT5001 or QBUS5001 |
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Corequisites:
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BUSS6002 |
Prohibitions:
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None |
Assumed knowledge:
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Vectors, matrices, probability, Python |
At the completion of this unit, you should be able to:
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
Session | MoA ? | Location | Outline ? |
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Semester 1 2024
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Normal day | Camperdown/Darlington, Sydney |
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Session | MoA ? | Location | Outline ? |
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Semester 1 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Session | MoA ? | Location | Outline ? |
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Semester 2 2020
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Normal day | Camperdown/Darlington, Sydney |
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Semester 2 2021
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Normal day | Camperdown/Darlington, Sydney |
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Semester 2 2021
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Normal day | Remote |
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Semester 2 2022
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Normal day | Camperdown/Darlington, Sydney |
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Semester 2 2022
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Normal day | Remote |
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Semester 1 2023
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Normal day | Camperdown/Darlington, Sydney |
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Semester 1 2023
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Normal day | Remote |
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This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.