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Module Aims
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To provide an introduction to the numerical solution of particle differential equations in a physics context.
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Learning Outcomes
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Be able to formulate a problem involving a particle differential equation in a well posed way including appropriate boundary conditions, and know how to set up a numerical procedure to find a solution.
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Indicative Time Allowances
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Hours
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Lectures |
24
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Tutorials |
6
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Laboratories |
0
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Seminars |
0
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Independent Learning Time |
45
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Total |
75
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Placements |
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Assignments |
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NOTE
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Assume that a 0 credit module load represents approximately 75 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.
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Indicative Syllabus
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Elliptic, parabolic and hyperbolic partial differential equations: Physical examples
Finite difference algorithms for elliptic problems, parabolic problems, hyperbolic problems
Other numerical procedures such as Monte Carlo methods and particle-based methods.
Special purpose hardware for scientific computation.
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| Assessment | | Continuous Assessment | 25% | Examination Weight | 75% |
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Indicative Reading List
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1. "Numerical Methods for Partial
Differential Equations" P. L. DeVries (Wiley, 1994)
2. "A First course in Computational Physics" R.W. Hockney and J.W. Eastwood (Adam Hilger, 1988)
3. "Computer Simulation using Particles" W.H. Press et al. (CUP, 1st ed. 1988; 2nd ed. 1992)
4. "Numerical Recipes in C" H.S. Stone (Addison Wesley, 1993).
5. "High Performance Computer Architecture" W.F. Ames (Academic Press, 1992)
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Programme or List of Programmes
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| BSSA | Study Abroad (DCU Business School) |
| BSSAO | Study Abroad (DCU Business School) |
| ECSA | Study Abroad (Engineering & Computing) |
| ECSAO | Study Abroad (Engineering & Computing) |
| HMSA | Study Abroad (Humanities & Soc Science) |
| HMSAO | Study Abroad (Humanities & Soc Science) |
| SHSA | Study Abroad (Science & Health) |
| SHSAO | Study Abroad (Science & Health) |
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