This course introduces students to probabilistic/stochastic models of Management Science. Topics include queuing models, simulation models, Markov processes, dynamic programming, and inventory models.
Prerequisites: MGMT 295
Lecture Hours: 45
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(3.0 credits)
This course introduces students to probabilistic/stochastic models of Management Science. Topics include queuing models, simulation models, Markov processes, dynamic programming, and inventory models.
Prerequisites: MGMT 295
Lecture Hours: 45
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