In these lectures, they discuss the fundamental principles of thermodynamic and dynamic Monte Carlo methods in a simple light-weight fashion.

After briefly sketching the history of multicanonical calculations and their range of application, a general introduction in the context of the statistical physics of the d-dimensional generalized Potts models is given.

A brief and elementary introduction to the technique of Monte Carlo simulation of statistical physics problems is presented. Ising spin model is taken as an example.The topics covered include Metropolis algorithm, phase transition,finite size scaling.

Provide an introduction to Monte Carlo methods