The course covers the basic principles of the *theory of probability
* and its *applications*.
Topics include combinatorial analysis used in computing
probabilities, the axioms of probability, conditional probability and
independence of events; discrete and continuous random variables; joint,
marginal, and conditional densities, moment generating function; laws of
large numbers; Central limit Theorem, binomial, Poisson, gamma, univariate, and bivariate normal
distributions, probability spaces, sigma-fields, probability measure and measure theoretic introduction to probability, different modes of convergence

- Teacher: Dr. Javed Hussain