STAT341

An introduction to the fundamental ideas in probability important for data scientists and statisticians. The core concepts of combinatorics, expectation, variance, conditional probability/expectation/distributions, covariance, and correlation will be motivated and explored through discrete and continuous random variables. The course will touch on the law of large numbers and the central limit theorem. Selected topics may be included such as the Poisson process, Linear Models, Markov chains, Bayesian methods.

Fall Semester