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MATH2405 Maths Methods 1 Honours: Ordinary Differential Equations and Advanced Vector Calculus

Later Year Course

Offered By Department of Mathematics
Academic Career Undergraduate
Course Subject Mathematics
Offered in First Semester, 2012 and First Semester, 2013
Unit Value 6 units
Course Description

This course provides an in depth exposition of the theory of differential equations and vector calculus. Applications will be related to problems mainly from the Physical Sciences.

Topics to be covered include:

Ordinary Differential Equations - Linear and non-linear first and second order differential equations; existence and uniqueness of solutions; solution methods; the use of Green’s functions; power series solutions; Bessel and Legendre equations; the gamma function; systems of first and second order equations; equilibrium points and stability; phase portraits; elementary bifurcation theory; the van der Pol equation; normal modes of oscillation; boundary value problems; regular and singular Sturm-Liouville systems and eigenvalue problems; generalized Fourier series.

Advanced Vector Calculus - Curves and surfaces in three dimensions; parametric representations; curvilinear coordinate systems; surface and volume integrals; use of Jacobians; scalar and vector fields; gradient, divergence and curl in orthogonal curvilinear coordinates. identities involving vector differential operators; the Laplacian; Green’s theorem in the plane; Divergence and Stoke’s theorems; scalar and vector potentials.

Note: This is an HPC, taught at a level requiring greater conceptual understanding than MATH2305.

Learning Outcomes

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Explain the fundamental concepts of differential equations and vector calculus and their role in modern mathematics and applied contexts.
2. Demonstrate accurate and efficient use of techniques involved in solving differential equations and applying vector differential operators.
3. Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from the theory of differential equations.
4. Apply problem-solving using techniques in differential equations and vector calculus in diverse situations in physics, engineering and other mathematical contexts.

Indicative Assessment

Assessment will be based on:

  • Eight assignments (25% in total; LO 1-4)
  • Mid-semester test (25%; LO 1-4)
  • Final examination (50%; LO 1-4)
Workload

48 lectures and 10 tutorials

Areas of Interest Mathematics
Requisite Statement

A mark of 60 or more in MATH1116; or a mark of 80 or more in MATH1014.

Incompatibility

MATH2014, MATH2114, MATH3109, MATH3209, MATH2305 and ENGN2212.

Majors/Specialisations Mathematical Finance, Mathematical Modelling, Mathematics, Theoretical Physics, and Water Science
Programs Bachelor of Computational Science (Honours)
Science Group B
Academic Contact Dayal Wickramasinghe

The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions