Introductory Probability

Axioms of probability, conditional probability, independence, discrete random variables, continuous random variables, mean, variance and covariance, moment generating function, Poisson distributions, normal distributions, central limit theorem, law of large numbers, random walks, transition probabilities and Markov chains. Students taking this course are expected to have knowledge in advanced calculus.