Computational Probability and Statistics

Examination of probability theory and mathematical statistics from the perspective of computing. Topics selected from random number generation, Monte Carlo methods, limit theorems, stochastic dependence, Bayesian networks, dimensionality reduction. Prerequisites: Multivariable calculus; Linear algebra; APMA 1655 or equivalent; Programming experience is recommended.