MTH4351 - Mathematical biology

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Overview

This unit is an introduction to some of the most important mathematical concepts in theoretical biology. The coursework for this unit will be entirely mathematical and assumes no prior expertise in biology. The course also includes a significant project whereby you will be paired with students enrolled in M6030 (Master … For more content click the Read More button below. The aim of the course is to introduce both mathematical methods and biological applications and to generate a realisation of the potential of mathematics in biological research. The lectures will be organised by application (population, chemical, physiological, etc) but will focus on mathematical analysis and the insights that they generate. Whilst 'mathematical biology' has the potential to cover a wide range of activities, we will focus on phenomenological models of continuous, discrete or stochastic natures as opposed to data-driven areas of mathematics such as computational mathematics, statistics, data science, machine learning, etc.

The aim of the course is to introduce both mathematical methods and biological applications and to generate a realisation of the potential of mathematics in biological research. The lectures will be organised by application (population, chemical, physiological, etc) but will focus on mathematical analysis and the insights that they generate.

Whilst 'mathematical biology' has the potential to cover a wide range of activities, we will focus on phenomenological models of continuous, discrete or stochastic natures as opposed to data-driven areas of mathematics such as computational mathematics, statistics, data science, machine learning, etc.

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr Mark Flegg

Unit Coordinator(s)

Dr Mark Flegg

Notes

This unit is offered in alternate years commencing Semester 2, 2019.

Learning outcomes

On successful completion of this unit, you should be able to:

Apply and extend classical models in mathematical biology.

Use sophisticated mathematical techniques in the analysis of mathematical models in biology.

Construct mathematical models for biological systems.

Apply critical thinking to address problems in an interdisciplinary group setting.

Communicate effectively across interdisciplinary borders.

Assessment summary

Examination (3 hours and 10 minutes): 60% (Hurdle)

Continuous assessment: 40%

Hurdle requirement: If you would otherwise have passed the unit but who do not achieve at least 45% of the marks available for the end-of-semester examination will receive a Hurdle Fail (NH) grade and a mark of 45 on your transcript.

Workload requirements

Workload

Availability in areas of study

Master of Mathematics