Units / MTH3060
MTH3060 · Advanced ordinary differential equations
2026 Handbook6 credit pointsLevel 3School of Mathematics
Last checked: 23 Aug 2026 UTCOverview
This unit examines two particular classes of ordinary differential equations: dynamical systems and boundary-value problems. The investigation of boundary-value problems considers Sturm-Liouville eigenvalues problems and orthogonal polynomials, shooting and direct matrix methods for the numerical investigation of boundary-value problems and iterative matrix methods. The second topic of dynamical systems considers analytical and numerical methods for planar autonomous systems, classification of critical points using eigenvalues and eigenvectors and perturbation methods for periodic and nearly periodic motion. Programming skills are developed in the context of the analytic and numerical investigation of advanced ordinary differential equations using MATLAB.
Areas of study: Applied mathematics Financial and insurance mathematics Mathematical statistics Mathematics
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Continuous assessment | Demonstration | 50% | — |
| 2 | Final assessment - Exam (3 hours and 10 minutes) | Examination | 50% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
Learning outcomes
- Apply analytical and numerical methods to solve advanced ordinary differential equations, including Sturm–Liouville problems, series solutions, and Green’s functions;
- Analyse the qualitative behaviour of dynamical systems by classifying critical points, studying stability, and applying perturbation methods for periodic and near-periodic motion;
- Demonstrate how differential equations model real-world phenomena, integrating theory, computation, and interpretation in applied contexts;
- Communicate reasoning and results in differential equations effectively, both orally and in writing, and collaborate in small groups to solve problems.
Workload
• Three 1-hour seminars; • One 2-hour applied class (in weeks 2-12) and • 7 hours of independent study per week.
| Activity | Duration |
|---|---|
| Applied sessions | 22 hours |
| Seminars | 36 hours |
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