Advanced Differential Equations

Undergraduate | 2026

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Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
MATH X300
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Course ID
207615
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Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Undergraduate
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Unit value
6
Course owner
Course owner
Mathematical Sciences
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Course level
3
Work Integrated Learning course
Work Integrated Learning course
No
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

Topic 1: Nonlinear ordinary differential equations

- Analysing systems of ODEs: existence and uniqueness, equilibria,

- Stability of equilibria, linearisation, Hartman-Grobman theorem.

Topic 2: Green's functions and Sturm-Liouville theory

- Green’s functions.

- Revision of separation of variables and connection to Sturm-Liouville problems, spaces of functions, inner products.

- Sturm-Liouville eigenvalue problems and their properties, self-adjointness, eigenvalues and eigenfunctions.

Topic 3: Partial differential equations

- Advection equation, the method of characteristics, upwind numerical schemes.

- Nonlinear first order equations, weak solutions and shocks, Rankine-Hugoniot conditions.

- Classification of higher-order PDEs.

- Parabolic PDEs: use heat equation as an example equation. Boltzmann’s transformation and the error function solution. Finite difference methods for the heat equation, including method of lines, FTCS, BTCS, Crank-Nicolson and their von Neumann stability analysis. Reaction-diffusion equations (e.g. Fisher-KPP), travelling wave solutions, numerical methods.

-Elliptic PDEs: Poisson’s equation.

-Hyperbolic PDEs: Wave equation.

  • Nonlinear ordinary differential equations
  • Green's functions and Sturm-Liouville Theory
  • Partial differential equations

Course learning outcomes

  • Analyse systems of ordinary differential equations drawn from physical examples, including nonlinear systems, using techniques such as linearisation and stability analysis
  • Use Sturm-Liouville theory to analyse and solve linear boundary value problems, including those arising from separation of variables
  • Apply analytical techniques to solve parabolic, elliptic, and hyperbolic partial differential equations and evaluate potential finite difference methods
  • Compute numerical solutions to parabolic, elliptic, and hyperbolic partial differential equations using finite-difference numerical methods
  • Interpret analytical and numerical solutions for ordinary differential equations and partial differential equations, the main component of continuum mathematical models for physical problems

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A