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Module MAU22S03: Fourier Analysis for Science
- Credit weighting (ECTS)
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5 credits
- Semester/term taught
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Michaelmas term 2019-20
- Contact Hours
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11 weeks. There are 3 lectures per week, which do not include tutorials. Tutorials are separate, and tutorial attendance is mandatory for continuous assessment purposes. These tutorials will last 1 hour per week.
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- Lecturer
- Prof. Anthony Brown
- Learning Outcomes
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- Calculate and interpret the real and complex Fourier series of a given periodic function;
- Obtain and interpret the Fourier transform of non-periodic functions;
- Evaluate integrals containing the Dirac Delta;
- Solve ordinary differential equations with constant coefficients of first or second order, both homogenous and inhomogenous;
- Obtain series solutions (including Frobenius method) to ordinary differential equations of first or second order;
- apply their knowledge to the sciences where relevant.
- Module Content
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- Vector spaces and inner products of functions
- Fourier series
- Fourier transform
- Dirac delta function
- Applications of Fourier analysis
- Ordinary differential equations (ODE)
- Exact solutions of 1st and 2nd order ODE
- Series solutions of ODE and the Frobenius method
- Module Prerequisite
- MAU11S01 & MAU11S02, co-requisite MAU22S01
Suggested Reference
- Advanced Engineering Mathematics, E. Kreyszig in collaboration with H. Kreyszig, E. J. Norminton; Wiley (Hamilton 510.24 L21*9)
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- Assessment Detail
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This module will be examined in a 2 hour examination in Michaelmas term. Continuous Assessment will contribute 50% to the final annual grade, with the examination counting for the remaining 50%. Re-assessments if required will consist of 100% exam.