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MATH 337  Stochastic Models in Operations Research  Units: 3.00  
Some probability distributions, simulation, Markov chains, queuing theory, dynamic programming, inventory theory.
Learning Hours: 120 (36 Lecture, 84 Private Study)  
Requirements: Prerequisite (MATH 225/3.0 or MATH 231/3.0) and (STAT 252/3.0 or STAT 268/3.0).  
Offering Faculty: Faculty of Arts and Science  

Course Learning Outcomes:

  1. Computing optimal policies via dynamic programming in applications such as inventory control.
  2. Understanding stability of queuing models.
  3. Using mathematics to establish optimal decision and planning via dynamic programming.
  4. Rigorously proving results in Markov chains and optimal planning/control using tools from mathematical analysis.