MATH 4349 - Stochastic Methods for Data Science

This course provides an introduction to stochastic methods in numerical computation. Key topics covered include stochastic optimization techniques, Bayesian data analysis, and methods such as Markov Chain Monte Carlo and variational inference.

Prerequisites:

Prerequisites:  MATH 2320, MATH 2315, STAT 3308.