Overview

Mathematical modelling of physical and biological systems and processes is a growing field that uses multiple mathematical techniques, many of which rely on nonlinear systems approaches. This unit will cover a range of these techniques, using examples from different areas of the natural world.

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
02-March-2026
31-May-2026
Last self-enrolment date
15-March-2026
Census date
31-March-2026
Last withdraw without fail date
21-April-2026
Results released date
07-July-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Model nonlinear physical and biological systems with mathematics
  2. Utilise coupled nonlinear differential equations to describe nonlinear systems
  3. Analyse coupled systems via phase plots, bifurcation diagrams and dynamical systems theory
  4. Describe and model nonlinear systems such as virus dynamics, immunity response, predator-prey dynamics, chemical reactions and cancer

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Lecture
3.00 12 weeks 36
On-campus
Class
1.00 12 weeks 12
Online
Learning activities
2.00 12 weeks 24
Unspecified Activities
Independent Learning
6.50 12 weeks 78
TOTAL150

Assessment

Type Task Weighting ULO's
ExaminationIndividual 40 - 50% 1,2,3,4 
Mid-Semester TestIndividual 10 - 15% 1,2,3 
Mid-Semester TestIndividual 10 - 15% 
Online QuizzesIndividual 25 - 30% 1,2,3,4 

Hurdle

As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:

(i) an aggregate mark of 50% or more, and(ii) at least 40% in the final exam.Students who do not successfully achieve hurdle requirement (ii) will receive a maximum of 45% as the total mark for the unit.

Content

  • Modelling using Difference Equations
  • Fixed Points and Periodic Points of Maps
  • Modelling with Differential Equations
  • Geometric Approach to Differential Equations and Bifurcation Theory

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.