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

Call Number 12853
Day & Time
Location
MW 4:10pm-5:25pm
833 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor David D Yao
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 92 students (120 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
Campus Morningside
Section key 20201IEOR4106E001

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SIS update 07/02/20 16:38    web update 07/02/20 18:20