|Year of offer||2019|
|Subject level||Graduate coursework|
|Fees||Subject EFTSL, Level, Discipline & Census Date|
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.
Eligibility and requirements
Enrolment in one of the Master of Business Administration courses and completion of 112.5 credit points of core subjects and 70% or above in the subject Data Analysis
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
DescriptionMid-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%
Quotas apply to this subject
Dates & times
Mode of delivery On Campus — Parkville Contact hours 30 hours Total time commitment 150 hours Pre teaching start date 28 September 2019 Pre teaching requirements students are required to complete approximately 15 hours of reading to prepare for the subject during pre-teaching period Teaching period 5 October 2019 to 2 November 2019 Last self-enrol date 30 September 2019 Census date 11 October 2019 Last date to withdraw without fail 8 November 2019 Assessment period ends 2 December 2019
There are no specifically prescribed or recommended texts for this subject.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.