Title: Introduction to Probability

Description: Introduction to probability theory: independence, laws of large numbers, central limit theorems, martingales, Markov chains, and a selection of other topics such as ergodic theory, Brownian motion, random walks on graphs and groups, percolation, mixing times, randomized algorithms.

Offered: Fall

Prerequisite: MAT 533, MAT 536

Credits: 3

Graduate Bulletin Course Information

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