MTH5351 · Mathematical biology

Overview

This unit is an introduction to some of the most important mathematical concepts in theoretical biology and a more in depth investigation into an elective area of interest. The coursework for this unit will be entirely mathematical and assumes no prior expertise in biology. The course also includes a significant project whereby students will be paired with students enrolled in M6030 (Master of Biotechnology) to investigate a real biological question in an interdisciplinary setting. 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 seminars will be organised by application (population, chemical, physiological, etc) but will focus on mathematical analysis and the insights that they generate. 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. One of the core components of the unit will be elected by each student enrolled in MTH5351 and an extension reading course will be organised in this area.

Areas of study: Master of Mathematics

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Apply and extend classical models in mathematical biology.
2. Use sophisticated mathematical techniques in the analysis of mathematical models in biology.
3. Construct mathematical models for biological systems.
4. Apply critical thinking to address problems in an interdisciplinary group setting.
5. Communicate effectively across interdisciplinary borders.
6. Individually manage student-directed learning and research concentrating on a particular area of mathematical biology at a level above that of the lecture material.

Workload

• Three hours of seminars; • One hour applied sessions and • Eight hours of independent study per week

Student experience, not official rules. Nothing here changes what the Handbook says.