OA4301 Stochastic Models II

Course objectives are to discuss methods of stochastic modeling beyond those taught in OA3301 and give students an opportunity to apply the methods. Topics include conditioning; renewal processes; renewal reward processes; length biased sampling; semi-Markov models, and novel queuing, reliability and maintenance models. The Topics are illustrated by DoD applications. Same as MA4305.

Prerequisite

OA3301

Lecture Hours

4

Lab Hours

0

Course Learning Outcomes

Upon successful completion of this course, you should be able to:
• Apply the exponential distribution and the Poisson process to model and analyze real-world problems
• Formulate continuous-time Markov chain models to analyze real-world problems 
• Calculate measures of performance for queues
• Utilize the Nonhomogeneous Poisson process (NHPP) to model an arrival process of events
• Formulate models using renewal processes to analyze real-world problems