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
6.7 / 10
Organization
8.3 / 10
Time
5-10 hrs/week
Overall
8.3 / 10

Reviews

    Quarter Taken: Winter 2022 In-Person
    Grade: A

    The class is not really related to AI but is overall good, have things related to algorithm and write some LISP

Course

Instructor
Quanquan Gu
Previously taught
23W 22W 21W 20W

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 0% recommend the textbook

Textbooks

Textbook information not available.