Prerequisite: ENEE627, or students who have taken courses with comparable content may contact the Department. Information-theoretic methods in statistical inference and learning: information geometry leading to the EM algorithm with application to maximum likelihood estimation; measure concentration methods; correlated multi-armed bandits with application to parameter estimation and probability distribution learning from partially sampled observations; and information theoretic security and data privacy.