Introduction to Probability Theory (MA540)

Sample space, events and probability; basic counting techniques and combinatorial probability; random variables, discrete and continuous; probability mass, probability density and cumulative distribution functions; expectation and moments; some common distributions; jointly distributed random variables, conditional distributions and independence, bivariate normal, transformations of variables; central limit theorem. Some additional topics may include an introduction to confidence intervals and hypothesis testing.