PSYC 681 Natural Language Processing and LLMs / Spring 2026
Syllabus
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The latest version is available here (updated 2/17).
Course Description
This course provides theoretical foundation as well as hands-on (lab-style) practice incomputational approaches for processing natural language text, for problems that involve natural language meaning and structure. The course has relevance to cognitive science, artificial intelligence, and science and technology fields. Large language models and machine learning, including standard and deep neural network methods, are central components of this course. Students will develop natural language processing solutions in teams, leveraging large language models.
Location/Time: EAS 3381/TuTh 8:00-9:15 a.m.
Office Hours: TuTh 9:30-10:30 in-person (EAS 3137), or Zoom by appointment
Instructor
Grader
Bea Pulido (she/her)
