NLP 202Natural Language Processing II
This is the second course in a series covering the core concepts and algorithms for the theory and practice of natural language processing (NLP)—the creation of computer programs that can understand, generate, and learn natural language.
Prerequisite(s): NLP 201. Enrollment is restricted to natural language processing graduate students.
- Enroll in lecture and associated discussion section.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Winter 2027Open Winter 2027
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 50 | Lecture | Asynchronous | — | Staff | Open 0/35 |
Winter 2026Open Winter 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 50 | Lecture | Mon Wed 1:30pm–3:05pm | SiliconValleyCtr | J. M. Flanigan | Open 31/35 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Jeffrey Flanigan | 4.1 / 5 | 3.3 / 5 | 67% | 8 |
From RateMyProfessors, which is student-submitted and not a survey. Small review counts move a long way on one bad quarter.
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