Essentially, Monte Carlo methods employ standard distribution like Poisson of Gaussian, from which samples can be generated easily as analytic formulations of these standard distributions that employ uniform random numbers are available. Then the problem is converted to finding the relationship between the non-standar function and the standard function in a numeric sense, for example by comparing the ratios of function value and the employed standard function value at a particular point to decide whether it will be a suitable sample. I will be going over these during the presentation.