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This unit covers advanced research-integrated coursework topics in optimisation and stochastic processes, such as convex optimisation, duality, approximation, statistical estimation, random walks and Markov chains, and Poisson and other stochastic processes.
Study level | Undergraduate |
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Academic unit | Business Analytics |
Credit points | 6 |
Prerequisites:
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Students must meet the entry requirements to the Honours program, including completion of a pass undergraduate degree and a major in the specialisation area |
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Corequisites:
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BUSS4001 and BUSS4313 |
Prohibitions:
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None |
Assumed knowledge:
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None |
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 2025
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Block mode | Camperdown / Darlington, Sydney |
Outline unavailable
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Session | MoA ? | Location | Outline ? |
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Semester 1 2020
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Block mode | Camperdown / Darlington, Sydney |
Outline unavailable
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Semester 1 2021
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Block mode | Camperdown / Darlington, Sydney |
Outline unavailable
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Semester 1 2021
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Block mode | Remote |
Outline unavailable
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Semester 1 2022
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Block mode | Camperdown / Darlington, Sydney |
Outline unavailable
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Semester 1 2022
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Block mode | Remote |
Outline unavailable
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Semester 1 2023
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Block mode | Camperdown / Darlington, Sydney |
Outline unavailable
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Semester 1 2023
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Block mode | Remote |
Outline unavailable
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Semester 1 2024
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Block mode | Camperdown / Darlington, Sydney |
Outline unavailable
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Find your current year census dates
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.