Artificial Intelligence
11:40am–12:55pm
URIS HALL URI 301
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
CC/GS: Partial Fulfillment of Science Requirement Prior knowledge of Python is recommended. Provides a broad understanding of the basic techniques for building intelligent computer systems. Topics include state-space problem representations, problem reduction and and-or graphs, game playing and heuristic search, predicate calculus, and resolution theorem proving, AI systems and languages for knowledge representation, machine learning and concept formation and other topics such as natural language processing may be included as time permits
Reviews
Course experience
n=58, 2000–2025
Aggregated across everyone who has taught this course.
Teaching quality
3.8 / 5
Grading fairness
No signal
Workload
4.0 / 5 · Heavy
Difficulty
3.0 / 5 · Moderate
Overall sentiment
Mixed
Would take again
Majority say yes
In your week
Where it meets
Flat map — motion reduced