This course investigates several probability models that are important to operations research applications. Models covered include Markov chains, Markov processes, renewal theory, queueing theory, scheduling theory, reliability theory, Bayesian networks, random graphs, and simulation. The course emphasizes both the theoretical development of these models and the application of the models to areas such as engineering, computer science, and management science.
Course prerequisites: 
Multivariate calculus and a course in probability and statistics (such as 625.403 Statistical Methods and Data Analysis).
Course instructor: 

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Course all programs: 
Applied and Computational Mathematics
Data Science
Engineering Management