Syllabus

• Introduction to probability: Random experiments, probability axioms, conditional probability, law of total probability, Bayes’ rule, and counting methods.
• Random variables and their distributions: Single and multiple random variables, expectation, variance, moment generating factors, inequalities.
• Limit theorems: Convergence of random variables, weak law of large numbers, central limit theorem.