| Call Number | 10754 |
|---|---|
| Day & Time Location |
TR 4:10pm-7:20pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Daniel Bauer |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Computational approaches to the analysis, understanding, and generation of natural language text at scale. Emphasis on machine learning techniques for NLP, including deep learning and large language models. Applications may include information extraction, sentiment analysis, question answering, summarization, machine translation, and conversational AI. Discussion of datasets, benchmarking and evaluation, interpretability, and ethical considerations. |
| Web Site | Vergil |
| Subterm | 07/07-08/15 (B) |
| Department | Computer Science |
| Enrollment | 50 students (120 max) as of 11:06AM Friday, April 25, 2025 |
| Subject | Computer Science |
| Number | W4705 |
| Section | 001 |
| Division | Interfaculty |
| Section key | 20252COMS4705W001 |