| Call Number | 11981 |
|---|---|
| Day & Time Location |
TR 10:10am-11:25am 833 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Daniel Lacker |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Introductory course to probability theory and does not assume any prior knowledge of subject. Teaches foundations required to use probability in applications, but course itself is theoretical in nature. Basic definitions and axioms of probability and notions of independence and conditional probability introduced. Focus on random variables, both continuous and discrete, and covers topics of expectation, variance, conditional distributions, conditional expectation and variance, and moment generating functions. Also Central Limit Theorem for sums of random variables. Consists of lectures, recitations, weekly homework, and in-class exams. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 111 students (120 max) as of 3:06PM Saturday, April 27, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E3658 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Undergrad |
| Open To | Engineering:Undergraduate |
| Campus | Morningside |
| Section key | 20233IEOR3658E001 |