Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Terms: Fall 2017, Winter 2018, Summer 2018
Instructors: David B Wolfson (Fall) Chien-Lin Su (Winter) Djivede Kelome (Summer)