Fundamentals of Artificial Intelligence

Lecture, four hours; laboratory, two hours; outside study, six hours. Enforced requisite: course 180. Introduction to fundamental problem solving and knowledge representation paradigms of artificial intelligence. Introduction to Lisp with regular programming assignments. State-space and problem reduction methods, brute-force and heuristic search, planning techniques, two-player games. Knowledge structures including predicate logic, production systems, semantic nets and primitives, frames, scripts. Special topics in natural language processing, expert systems, vision, and parallel architectures. Letter grading.

Review Summary

Clarity
8.3 / 10
Organization
8.3 / 10
Time
5-10 hrs/week
Overall
8.3 / 10

Reviews

    Quarter Taken: Fall 2022 In-Person
    Grade: A+

    Interesting class! I thought the lectures were pretty fun.

Course

Previously taught
22F

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 100% recommend the textbook

Previous Grades

Grade distributions not available.