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Decision Making and Optimisation (BUSA90538)
Graduate courseworkPoints: 12.5On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | March July |
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Fees | Look up fees |
There is an assortment of mathematical methods to obtain efficient solutions to a large variety of complex business problems. This component helps student formulate a business problem as a mathematical model and then use computational techniques to estimate and solve the model. Topics covered may include decision making under uncertainty, optimal location allocation of resources in business processes, decision trees, linear programming, integer linear programming, and Monte Carlo simulations.
Intended learning outcomes
On completion of this subject, students should be able to:
- Appreciate the importance and application of mathematical models for solving several problems in business.
- Understand the most relevant methods and the trade-off between methods required to solve these models including: decision trees, linear programming, integer linear programming, local search and meta-heuristics.
- Perform optimization techniques to solve business problems.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Admission
Admission into one of the following: MC-BUSANA Master of Business Analytics, GD-BUSANA Graduate Diploma in Business Analytics, GC-BUSANA Graduate Certificate in Business Analytics, PR-BUSANA Professional Certificate in Business Analytics
Students admitted to the MBA course may enrol in this subject as an elective subject. Students are required to achieve 70% or above in Data Analysis
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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Syndicate Project
| Week 6 | 30% |
Midterm test
| Mid semester | 20% |
Final Examination
| Week 9 | 50% |
Last updated: 31 January 2024
Dates & times
- March
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 13 March 2023 to 5 May 2023 Last self-enrol date 23 March 2023 Census date 31 March 2023 Last date to withdraw without fail 21 April 2023 Assessment period ends 12 May 2023 - July
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Pre teaching start date 26 June 2023 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during the pre-teaching period Teaching period 3 July 2023 to 8 September 2023 Last self-enrol date 15 June 2023 Census date 14 July 2023 Last date to withdraw without fail 18 August 2023 Assessment period ends 15 September 2023
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024