The module covers the mathematical modelling of biological phenomena.
Students will begin to understand why ordinary differential equations (ODEs) can arise in modelling biological phenomena. One-dimensional autonomous ODEs will be covered, including a treaty on equilibrium points, stability, phase plots, and linear stability analysis within the context of mathematical biology.
These ideas will be expanded to consider systems of two or more ODEs, paying attention to equilibria and the stability thereof, phase plane analysis, and linear stability analysis, within the context of interacting species and/or disease modelling.
Biological movement and pattern formation will be introduced, with mention made to chemical diffusion, chemotaxis, reaction-diffusion equations, Turing patterns and diffusion-driven instability.
Travelling waves will be touched upon, with regard to Fisher’s equation, wound healing and epidemiology. Further, the modelling of infectious diseases will be covered, with an introduction to SIR models, the Kermack-McKenzie model, steady-states and linear stability.
Reaction kinetics will be studied, including the Law of Mass Action, enzyme reactions, the pseudo steady-state hypothesis, and singular perturbation techniques.
Finally, discrete time population models will be introduced, via difference equations models for seasonally reproducing organisms, harvesting, obtaining maximum sustainable yields, Leslie matrices and the Jury conditions for stability.
The Graduate Attributes relevant to this module are given below:
- Academic: Critical thinker; Analytical; Inquiring; Knowledgeable; Problem-solver; Digitally literate; Autonomous.
- Personal: Motivated, Creative; Resilient.
- Professional: Research-minded; Ambitious; Driven.
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