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
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6.7 / 10
- Organization
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8.3 / 10
- Time
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N/A
- Overall
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6.7 / 10
Reviews
Overall the class was pretty good. The lectures were entertaining and the homework assigned wasn't too bad (though some of the coding assignments were pretty difficult). My main complaint about this course is that the final was supposedly concept-based, but IMO had a lot of definition/memorization based questions.
Showing 1 review
Course
Grading Information
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No group projects
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Attendance not required
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1 midterm
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Finals week final
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100% recommend the textbook