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Computational Physics--University of Western Australia
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Organization: | University of Western Australia |
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College
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The objectives of this course are: - to use computers as an aid to understanding real physical systems;
- learn efficient methods for the analysis of these systems.
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- Applied Mathematica: Getting Started, Getting It Done by Shaw and Tigg (Addison-Wesley, 1994)
- Mathematica: A Practical Approach by Blachman (Prentice Hall, 1992)
- Mathematica for Scientists and Engineers by Bahder (Addison-Wesley, 1995)
- Quantum Methods with Mathematica by Feagin (TELOS/Springer-Verlag, 1994)
- Mathematica for the Sciences by Crandall (Addison-Wesley, 1991)
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The broad categories of computational physics are Simulation, Visualisation and Modelling. At a finer scale, computational physics embraces a wide range of areas including numerical methods, algorithms and data analysis. Simulation and modelling are usually taught by stressing numerical techniques -- this course focuses on using symbolic or computer algebra -- in particular, using Mathematica. This course has consistently achieved good SPOT (Student Perception of Teaching) ratings. It is a good course to teach, being very much hands-on (or even better, "brains-on"). Perhaps the best measure of its success though is the fact that a very large proportion of students completing this course then make good and extensive use of Mathematica in their other courses. Topics: Precision, Interpolation, and Numerical Differentiation - Finite and Infinite Precision
- Interpolation
- Numerical Differentiation
Fourier Series and the Planar Pendulum - Fourier Series
- Planet Moving in the Field of Two Suns
- Planar Pendulum
Normal Modes of Coupled Oscillators and Sound - Normal Modes of Coupled Oscillators
- Touch-tone phone
Schroedinger Equation - Hydrogen
- Stark effect for hydrogen
- Helium perturbation calculation
Image Processing and Chaos - Image Processing
- Julia and Mandelbrot sets
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http://physics.uwa.edu.au/information_for/current/second_year/cp1
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