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Spring 2021 Industrial Engineering and Operations Research E4106 section 001
STOCHASTIC MODELS

Call Number 13452
Day & Time
Location
MW 11:50am-1:05pm
ONLINE ONLY
Points 3
Grading Mode Standard
Approvals Required None
Instructor Karl Sigman
Type LECTURE
Method of Instruction On-Line Only
Course Description Prerequisites: (STAT GU4001) This graduate course is only for MS-E, IE and OR students. This is also required for students in the Undergraduate Advanced Track. Some of the main stochastic models used in engineering and operations research applications: discrete-time Markov chains, Poisson processes, birth-and-death processes, and other continuous Markov chains, renewal reward processes. Applications: queueing, reliability, inventory, and finance.
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 108 students (150 max) as of 8:02AM Sunday, February 28, 2021
Subject Industrial Engineering and Operations Research
Number E4106
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20211IEOR4106E001

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SIS update 02/28/21 08:02    web update 02/28/21 09:35