PHI 133
— Logic, Probability, & Artificial Intelligence
Introduction to theoretical artificial intelligence with a focus on nonmonotonic logic, Bayesian networks, and learning theory.
Prerequisites & course information
Course Description: Introduction to theoretical artificial intelligence with a focus on nonmonotonic logic, Bayesian networks, and learning theory. Learning Activities: Lecture/Discussion 4 hour(s). Grade Mode: Letter. Learning Activities: Lecture/Discussion 4 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027