Stochastic Modeling
Douglas Fearing
HBS 4465
The course covers the modeling, analysis and control of stochastic systems. Topics include Bernoulli and Poisson processes, Markov chains and Markov decision processes, optimization under uncertainty, queuing theory, and simulation. Applications will be presented in production planning, inventory management, service systems, and sports.