MATH 370

Theory of probability and stochastic processes for science and mathematics students. Topics include probability space, conditional probability and independence, continuous and discrete random variables, jointly distributed random variables, expectation, conditional expectation and properties, simulating data from distributions, limit theorems, Markov chains and Poisson processes, and Markov Chains Monte Carlo (MCMC). Note: This course is offered as STAT 370 and MATH 370. Students may only take one of these for credit. -- Prerequisite -- MATH 211. -- Corequisite -- None. -- Pre or Corequisite -- None. Section information text: This course is offered as STAT 370 and MATH 370. Students may only take one.