CS 205: ARTIFICIAL INTELLIGENCE
University of California, Riverside
4 Units, Lecture, 3 hours; research, 3 hours. Prerequisite(s): CS 170; or equivalent; graduate standing. Examines knowledge representation and automated reasoning and their use in capturing common sense and expert knowledge. Also addresses predicate and nonmonotonic logics; resolution and term rewriting; reasoning under uncertainty; theorem provers; planning systems; and belief networks. Includes topics in natural language processing, perception, logic programming, expert systems, and deductive databases. May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.
Average GPA: 3.90
Grade distribution records: 843 students across 13 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 70 | 8.3% |
| A | 612 | 72.6% |
| A- | 88 | 10.4% |
| B+ | 57 | 6.8% |
| B | 9 | 1.1% |
| B- | 6 | 0.7% |
| C+ | 1 | 0.1% |
Based on 843 student grade records across 13 terms and 2 professors.
Instructors
- Paea Lependu 521 students, Average GPA 3.93
- Eamonn Keogh 322 students, Average GPA 3.86