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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. | |
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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