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The use of computers in physics, as well as most other branches of science and engineering, has increased
many times along with the rapid development of faster and cheaper hardware. This course aims to give the
student a thorough grounding in the main computational techniques used in modern physics. It is particularly
important in this course that the students should learn by doing. The course is therefore designed such
that a significant fraction of the students¡¯ time is spent actually programming specific physical problems
rather than learning abstract techniques.
The course will cover problems in 4(5) broad sections: 􀀀 Ordinary differential equations, such as those of classical mechanics. 􀀀 Partial differential equations, such as Maxwell¡¯s equations and the Diffusion and Schr¡§odinger equations.
􀀀 Matrix methods, such as systems of equations and eigenvalue problems applied to Poisson¡¯s equation
and electronic structure calculations. 􀀀 Monte Carlo and other simulation methods, such as the Metropolis algorithm and molecular dynamics.
􀀀 (If time permits Computer Algebra; an introduction using Maple to the uses and abuses of algebraic
computing in physics.
This is not a short course in computing science, nor in programming. It focuses sp
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