| Call Number | 15216 |
|---|---|
| Day & Time Location |
MW 1:10pm-2:25pm 301 Pupin Laboratories |
| 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 | 137 students (175 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Statistics |
| Number | GR5701 |
| Section | 001 |
| Division | Interfaculty |
| Note | Open to DSI students only. |
| Section key | 20243STAT5701W001 |