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Systems Modelling and Simulation (MAST90045)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Email: anca.hanea@unimelb.edu.au
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
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
One of the following, or equivalent.
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10006 | Calculus 2 |
Semester 1 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST10021 | Calculus 2: Advanced | Semester 2 (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
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Up to 21 pages of written assignments (three assignments worth 17% each)
| 51% | |
An examination
| 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 2 March 2020 to 7 June 2020 Last self-enrol date 13 March 2020 Census date 30 April 2020 Last date to withdraw without fail 5 June 2020 Assessment period ends 3 July 2020 Semester 1 contact information
Email: anca.hanea@unimelb.edu.au
Time commitment details
170 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
Introduction to Scientific Programming and Simulation Using R by O. Jones, R. Maillardet and A. Robinson. CRC Press, 2009
- Subject notes
Students will be expected to regularly access a computer running the programming language R. (R is freeware. Instructions on obtaining and installing R will be provided.)
- 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.
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
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.
Last updated: 3 November 2022