NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Summer 2020 Industrial Engineering and Operations Research E4106 section D01 STOCHASTIC MODELS | |
Call Number | 11932 |
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 |
Subterm | 05/26-08/14 (X) |
Department | Video Network |
Enrollment | 8 students (99 max) as of 11:34AM Tuesday, January 19, 2021 |
Subject | Industrial Engineering and Operations Research |
Number | E4106 |
Section | D01 |
Division | School of Engineering and Applied Science: Graduate |
Campus | Video Network |
Fee | $395 CVN Course Fee |
Note | VIDEO NETWORK STUDENTS ONLY |
Section key | 20202IEOR4106ED01 |
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