| Call Number | 14643 |
|---|---|
| Day & Time Location |
TR 4:10pm-5:25pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Dobrin Marchev |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course covers the following topics: Fundamentals of probability theory and statistical inference used in data science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference; point and confidence interval estimation, hypothesis tests, linear regression. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 2 students (125 max) as of 10:06AM Tuesday, April 21, 2026 |
| Subject | Statistics |
| Number | GR5701 |
| Section | 002 |
| Division | Interfaculty |
| Open To | Engineering:Graduate |
| Note | DSI students only, or by instructor permission. |
| Section key | 20263STAT5701W002 |