Module Information

Module Identifier
MA34920
Module Title
Mathematical Models of Biological Systems
Academic Year
2022/2023
Co-ordinator
Semester
Semester 2
Pre-Requisite
MA21410 or MT21410 MA21410 or MT21410
Reading List

Course Delivery

 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment Computer prac  Report on a computer investigation  10%
Semester Assessment Problem Sheets  Three assessed problem sheets.  30%
Semester Exam 2 Hours   Exam  Semester Examination  60%
Supplementary Exam 2 Hours   Resit  Resit  100%

Learning Outcomes

On successful completion of this module students should be able to:

Explain the biological relevance of parameters in a mathematical model of a complex system

Calculate the stability of the steady-state solutions to a mathematical model of a biological system.

Find travelling wave solutions of a differential equation.

Use a computer to explore the dynamics of a complex system.

Brief description

Mathematical Biology is the application of mathematics to predict the response of biological systems. With a little knowledge of biology, mathematicians are now able to develop appropriate models of biological phenomena which are also of mathematical interest.
The course aims to develop students' ability to identify the key parameters in a complex system and create and solve a comparatively simple model, the results of which can then be related back to the original system. Examples will include chaotic population models and waves in reaction-diffusion systems which lead to pattern formation.

Aims

Mathematical Biology is an area of interest that is growing rapidly in popularity; with a little knowledge of biology, mathematicians are now able to develop appropriate models of biological phenomena which are also of mathematical interest in their own right. Mathematicians who are familiar with rigorous biological modelling have extremely attractive employment prospects in this and related areas such as medicine.

Content

Continuous and Discrete Single Species Population Models; Logistic Map; Fixed points; Linear Stability Analysis; Transition to Chaos.
Two species population models; Lotka Volterra; Predator Prey.
Spread of Epidemics; Cellular automata.
Reaction Diffusion Equations; Propagating Wave Solutions; Travelling Fronts; Spatial Pattern Formation; Animal Coat Patterns.

Module Skills

Skills Type Skills details
Problem Solving is required for each of the Assessed Problem Sheets.
Develop mathematical skills in developing and solving models
Required for the assessed computer practical

Notes

This module is at CQFW Level 6