The course will include the following topics: Sample space, events, axioms of probability and Bayes’ theorem Random variables and their distributions: Univariate Expected values and their properties Functions of random variables Vector and matrix calculations Random vectors and joint distributions: Multivariate Samples, sampling distributions and Central Limit Theorem Hypothesis testing Estimation Simple linear regression models Monte Carlo Simulation