Systems Modelling and Simulation (MAST90045)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
| Availability | Semester 1 |
|---|---|
| Fees | Look up fees |
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
Eligibility and requirements
Prerequisites
The following, or equivalent.
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST10006 | Calculus 2 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Corequisites
None
Non-allowed subjects
Students who have completed an introductory programming subject (such as MAST30028, COMP10001, COMP10002, COMP20005 or INFO10001), and an introductory probability subject (such as MAST20004 or MAST20006), are recommended not to take this subject.
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
Up to 21 pages of written assignments (51%: three assignments worth 17% each) and a 2-hour examination worth 49%.
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator Anca Hanea Mode of delivery On Campus (Parkville) Contact hours 48 hours comprising two 1-hour lectures per week and one 2-hour computer laboratory session per week. Total time commitment 170 hours Teaching period 4 March 2019 to 2 June 2019 Last self-enrol date 15 March 2019 Census date 31 March 2019 Last date to withdraw without fail 10 May 2019 Assessment period ends 28 June 2019 Semester 1 contact information
Email: anca.hanea@unimelb.edu.au
Time commitment details
170 hours
Last updated: 3 November 2022
Further information
- Texts
- Subject notes
- Related Handbook entries
This subject contributes to the following:
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
Last updated: 3 November 2022