Call Number | 11890 |
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Day & Time Location |
TR 2:40pm-3:55pm 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 (110 max) as of 9:05PM Thursday, April 3, 2025 |
Subject | Industrial Engineering and Operations Research |
Number | E4150 |
Section | 002 |
Division | School of Engineering and Applied Science: Graduate |
Open To | Engineering:Undergraduate, Engineering:Graduate |
Section key | 20253IEOR4150E002 |