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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
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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