 2019 - 2020 | |||||||||||||||||||||||||||||
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| 0571-3803-01 | Stochastic Models in Operations Research | ||||||||||||||||||||||||||||
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| FACULTY OF ENGINEERING | |||||||||||||||||||||||||||||
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University credit hours: 4.0
Course description
Credit Points: 3.5
Lecture: 3 hours
Exercise: 1 hour
Prerequisites: Deterministic Models in OR, Statistical Analysis of Data (concurrent) Objective: To enable students to think probabilistically and apply that to engineering and service systems which contain uncertainty.
Topics:
1. Review of relevant tools from Probability Theory.
2. Computing expectations and probabilities by conditioning.
3. Reliability Theory.
4. Markov chains.
5. The Poisson Process.
6. Birth-Death Processes.
7. Introduction to Queueing Theory.