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Module Delivery |
Spring semester |
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Assessment Requirements |
Unit(s) of Assessment
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Weighting Towards Module Mark( %)
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Coursework
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25
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Examination
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75
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Qualifying Condition(s)
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Module Overview |
This module introduces students to linear partial differential equations (PDEs), mainly in one and two space dimensions. |
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Prerequisites/Co-requisites |
MS105 Modelling and Experimental Mathematics MS109 Vector Calculus MS203 Ordinary Differential Equations
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Module Aims |
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Learning Outcomes |
At the end of the module, a student should be able to
- classify linear PDEs and choose the appropriate method to solve them;
- solve linear PDEs using the method of characteristics, Fourier transform, and separation of variables;
- interpret solutions;
- understand the use of the maximum principle and energy methods for uniqueness and well-posedness.
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Module Content |
The contents of the lectures will include:
- Linear PDEs: Examples, classification of PDEs, their physical interpretation and derivation.
- First-order PDEs: Method of characteristics.
- Wave and heat equation in one space dimension: d’Alembert’s solution, energy methods, Fourier series, Fourier transform, and solution of boundary-value problems through separation of variables.
- Interpretation of solutions.
- Laplace equation: Mean-value theorem, maximum principle, Poisson formula.
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Methods of Teaching/Learning |
Teaching is by lectures and tutorials. Learning takes place through lectures, exercises (tutorials), preparation for tests, and background reading.
3 contact hours for 10 weeks with 30 hours of lectures and tutorials. |
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Selected Texts/Journals |
P.V. O'Neil, Beginning Partial Differential Equations, John Wiley & Sons, (1999).
W.A. Strauss, Partial Differential Equations, John Wiley & Sons, (1992). |
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Last Updated |
31 July 2007 |
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