Syllabus:
Monte Carlo Methods, 7.5 credits
Swedish name:
Monte Carlo-metoder D
This syllabus is valid:
2008-03-17
valid to
2009-05-10
(newer version of the syllabus exists)
Syllabus for courses starting before 2009-05-10
Course code:
5FY061
Credit points:
7.5
Education level:
Second cycle
Main Field of Study and progress level:
Physics: Second cycle, has second-cycle course/s as entry requirements
Computational Science and Engineering: Second cycle, has second-cycle course/s as entry requirements
Computational Science and Engineering: Second cycle, has second-cycle course/s as entry requirements
Grading scale:
Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail
Responsible department:
Department of Physics
Contents
Monte Carlo - the statistical basis. Monte Carlo simulation of a classical gas. The Ising model: mean field theory, energy-entropy arguments, Monte Carlo simulations, universality. Simulation techniques: 2D arrays in C, boundary conditions, queues, fast Fourier transforms. Simple stochastic models: site percolation, random walk, self-organized criticality, and complex networks.
Required Knowledge
Numerical Methods in Physics, or equivalent.