Introduction to Probability Theory

Course content

Sample spaces and probabilities. Conditional probability. Random variables, their distribution functions, expectation and variance. Normal approximation. Poisson approximation. Moment generating functions. Joint distribution of random variables. Covariance and correlation. Tail bounds. Law of large numbers. Central limit theorem.