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Quant. Decision Making & Optimisation (BISY90017)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability(Quotas apply) | September |
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Fees | Look up fees |
There are numerous mathematical methods used to obtain efficient solutions to a large variety of complex business problems. This subject provides students with the ability to formulate a business problem as a mathematical model, and then to use quantitative techniques to identify a solution to the model. Topics covered include linear programming, duality, integer programming, mixed integer programming, non-linear programming, critical path method, Monte Carlo simulations, decision trees, expected value of perfect information, sample information and control, and sensitivity analysis.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Enrolment in one of the Master of Business Administration courses and completion of 112.5 credit points of core subjects.
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
Mid-term test (1.5 hours)Week 520% Syndicate assignment (equivalent to individual 500 words assessment)Week 830% Final examination (3 hours, hurdle requirement)End of term50%Last updated: 3 November 2022
Quotas apply to this subject
Dates & times
- September
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 150 hours Pre teaching start date 17 September 2018 Pre teaching requirements students are required to complete approximately 20 hours of reading to prepare for the subject during pre-teaching period Teaching period 24 September 2018 to 29 November 2018 Last self-enrol date 22 July 2018 Census date 5 October 2018 Last date to withdraw without fail 9 November 2018 Assessment period ends 6 December 2018
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 3 November 2022