| Call Number | 11299 |
|---|---|
| Day & Time Location |
TR 1:10pm-2:25pm 329 Pupin Laboratories |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Eleni Drinea |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisites: basic knowledge in programming (e.g. at the level of COMS W1007), a basic grounding in calculus and linear algebra. Methods for organizing data, e.g. hashing, trees, queues, lists,priority queues. Streaming algorithms for computing statistics on the data. Sorting and searching. Basic graph models and algorithms for searching, shortest paths, and matching. Dynamic programming. Linear and convex programming. Floating point arithmetic, stability of numerical algorithms, Eigenvalues, singular values, PCA, gradient descent, stochastic gradient descent, and block coordinate descent. Conjugate gradient, Newton and quasi-Newton methods. Large scale applications from signal processing, collaborative filtering, recommendations systems, etc. |
| Web Site | Vergil |
| Department | Computer Science |
| Enrollment | 100 students (100 max) as of 11:06AM Sunday, December 10, 2023 |
| Status | Full |
| Subject | Computer Science and Operations Research |
| Number | W4246 |
| Section | 002 |
| Division | Interfaculty |
| Campus | Morningside |
| Note | MS in Data Science have priority registration. |
| Section key | 20233CSOR4246W002 |