ORF 309 / EGR 309 / MAT 380
Probability and Stochastic Systems
An introduction to probability and its applications. Random variables, expectation, independence. Poisson processes, Markov chains, and Brownian motion. Stochastic models of queues, population dynamics, and reliability.
Sample reading list:
Ross, Introduction to Probability Models
Bremaud, An Introduction to Probabilistic Modeling
Cinlar, Introduction to Stochastic Processes
The ten chapters of Ross will be read during the semester.
Mid Term Exam - 20%
Final Exam - 40%
Other Exam - 20%
Problem set(s) - 20%
Course is required for concentrators
Not Open to Freshmen.
Prerequisites and Restrictions:
MAT 201 or permission of the instructor..
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