1016-525 - Stochastic Processes

Institution:
Rochester Institute of Technology
Subject:
Description:
This course explores Poisson processes and Markov chains with an emphasis on applications. Extensive use is made of conditional probability and conditional expectation. Further topics, such as renewal processes, Brownian motion, queuing models and reliability, are discussed as time allows. (1016-331, 351, or permission of instructor) Class 4, Credit 4 (W)
Credits:
4.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(585) 475-2411
Regional Accreditation:
Middle States Association of Colleges and Schools
Calendar System:
Quarter

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