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Systems Modelling and Simulation (MAST90045)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

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Semester 1
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Modern science and business makes extensive use of computers for simulation, because complex real-world systems often cannot be analysed exactly, but can be simulated. Using simulation we can perform virtual experiments with the system, to see how it responds when we change parameters, which thus allows us to optimise its performance. We use the language R, which is one of the most popular modern languages for data analysis.

Intended learning outcomes

After completing this subject students should be able to:



  • Program in R;
  • Develop and analyse simulations of deterministic and stochastic processes, with an emphasis on those arising in business and management settings; and
  • Apply local optimisation techniques.

Generic skills

At the completion of this subject, students should gain the following generic skills:

  • Problem-solving skills (especially through tutorial exercises and assignments), including engaging with unfamiliar problems and identifying relevant strategies;
  • Analytical skills, in particular the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency an analysis.

Last updated: 3 November 2022