Call Number | 12431 |
---|---|
Day & Time Location |
TR 8:40am-9:55am 301 Pupin Laboratories |
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 | 175 students (160 max) as of 3:05PM Sunday, May 11, 2025 |
Status | Full |
Subject | Industrial Engineering and Operations Research |
Number | E4150 |
Section | 001 |
Division | School of Engineering and Applied Science: Graduate |
Open To | Engineering:Graduate |
Section key | 20233IEOR4150E001 |