Apr 19, 2024  
2018-2019 Undergraduate Academic Catalog 
    
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2018-2019 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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MA 461 - Applied Probability Models

4 lecture hours 0 lab hours 4 credits
Course Description
This is an advanced probability course which covers topics such as Poisson Processes, Markov Chains, Markov Decision Process, Inventory Theory, Queueing Theory and Reliaility Theory. (prereq: MA 2630  and MA 2631 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • These will be determined next year when the course is designed
Prerequisites by Topic
  • Fundamentals of probability
Coordinator
Yvonne Yaz


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