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Advanced Biological Modelling (MAST90127)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
| Availability | Semester 1 - On Campus |
|---|---|
| Fees | Look up fees |
This subject uses mathematical modelling, analysis and simulation to provide insight into complex biological phenomena. With a focus on mechanistic modelling and viewing biological systems as dynamic in nature, you will learn how to develop and implement “real-world” models, applicable to current open problems in mathematical biology.
To give you a taste of cutting-edge research in mathematical biology, this subject will present methods from recent research applying mathematics to biology. This will include topics from the following list:
- Dynamical Mmodelling; and
- Chemical Reaction Network Theory.
The subject will include the use of software languages and packages for modelling and simulation. Motivating problems will be drawn from across the spectrum of biology from genetics and molecular biology to ecology.
Intended learning outcomes
On completion of this subject, students should be able to:
- apply relevant physical and biological concepts to the development of biological models;
- demonstrate a high level of modelling (mathematical and computational) skills that can be used to study a range of problems in mathematical biology;
- develop and use software to run and explore the behaviour of a range of biological models;
- interpret and evaluate models of biological processes in a variety of contexts.
Generic skills
- problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- collaborative skills: the ability to work in a team;
- time-management skills: the ability to meet regular deadlines while balancing competing commitments.
Last updated: 19 November 2025