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
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.
