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This course deals with analytical, numerical, and geometric techniques for differential equations, including applications.
This course is a core part of 200 level maths (along with MATH201 and MATH203) and is strongly recommended to anyone who is considering majoring in mathematics or another subject that involves a high level of numeracy. It covers more advanced techniques in differential equations with interesting applications to many areas of science, commerce and engineering.Topics covered:Differential equations: Reduction of order. Variation of Parameters.Systems of linear and nonlinear first order differential equations, including phase plane techniques. Introduction to numerical methods. Stiff systems. Laplace Transforms: Initial Value Problems, Shift Theorems, step functions and impulses, convolution, resonance. Fourier Series. Introduction to Fourier Transforms.
At the end of this course, students will:be able to use standard techniques to solve linear differential equations: variation of parameters, Laplace transforms, convolutions and Fourier series;demonstrate understanding of why these techniques work and when they will not;be able to make an appropriate choice of analytical, geometric or numerical algorithm for a given problem;be able to use these techniques in a variety of modelling applications, using appropriate software;have developed problem solving skills both as part of a team and as an individual;have developed written and oral communcation skills, emphasizing the ability to explain what the mathematics means.
MATH103 or MATH199 or EMTH119
MATH262, MATH264, EMTH202, EMTH204
Ngin-Tee Koh
Rua Murray
To obtain a clear pass (≥ C-), you must obtain at least 50% overall and at least 40% in the final examination.
General information for students Library portal LEARN
Domestic fee $780.00
International fee $4,250.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .