Jul 05, 2022  
2020-2021 Undergraduate Academic Catalog 
    
2020-2021 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 reliability theory. (prereq: MA 2630  and MA 2631 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • None

Prerequisites by Topic
  • Fundamentals of probability

Coordinator
Dr. Yvonne Yaz



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