| Call Number | 11808 |
|---|---|
| Day & Time Location |
MW 8:40am-9:55am To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Antonius B Dieker |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Covers the following topics: fundamentals of probability theory and statistical inference used in engineering and applied science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference: pint and confidence interval estimation, hypothesis tests, linear regression. For IEOR graduate students. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 0 students (164 max) as of 4:06PM Friday, April 4, 2025 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4150 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20253IEOR4150E001 |