| Call Number | 14551 |
|---|---|
| Day & Time Location |
TR 10:10am-11:25am 303 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 | 95 students (120 max) as of 12:06PM Tuesday, December 3, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E3658 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Undergrad |
| Note | 9/12 class will be in Davis Auditorium. 9/17 and forward mee |
| Section key | 20243IEOR3658E001 |