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  3. Quant. Decision Making & Optimisation

Quant. Decision Making & Optimisation (BISY90017)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Year of offer2019
Subject levelGraduate coursework
Subject codeBISY90017
Campus
Parkville
Availability(Quotas apply)
September
FeesSubject 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.

Last updated: 11 November 2018