This course covers the following areas of probability theory: axiomatic foundations,  random variables, distributions and densities; transformations and expectations;  introduces both discrete and continuous families of distributions; multiple random  variables: joint and marginal distributions, hierarchical models, inequalities;  properties of random samples: convergence, sampling from normal distribution,  Delta method, direct and indirect methods of generating random samples.