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Fall 2020 Industrial Engineering and Operations Research E4106 section 001
STOCHASTIC MODELS
INTRO TO OR-STOCHASTIC MODELS

Call Number 11437
Day & Time
Location
TR 4:10pm-5:25pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Karl Sigman
Type LECTURE
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 7 students (180 max) as of 4:38PM Thursday, July 2, 2020
Subject Industrial Engineering and Operations Research
Number E4106
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Campus Morningside
Section key 20203IEOR4106E001

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