| Call Number | 12891 |
|---|---|
| Day & Time Location |
R 1:10pm-3:40pm 420 Pupin Laboratories |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Khosrow Dehnad |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | We introduce various queueing models, including queueing networks, some classic and some new, with applications to a variety of industries such as telecommunications, computer science, inventory systems, health care, and insurance risk, among others. The basic mathematical tools for analyzing the models and solving for quantities of interest involve stochastic processes such as Markov chains, but also other tools from operations research such as optimization and stochastic simulation. This course is aimed at MS and undergraduate students who have already had a basic course in stochastic modeling such as IEOR 3106/4106. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 21 students (70 max) as of 3:06PM Saturday, April 27, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4571 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Note | Priority for MS in Data Science |
| Section key | 20233IEOR4571E001 |