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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Spring 2023 Computer Science W4701 section 001 ARTIFICIAL INTELLIGENCE | |
| Call Number | 12837 |
| Day & Time Location |
MW 2:40pm-3:55pm 301 Uris Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Tony B Dear |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisites: (COMS W3134 or COMS W3136 or COMS W3137) and any course on probability. 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. |
| Web Site | Vergil |
| Department | Computer Science |
| Enrollment | 170 students (220 max) as of 11:07AM Sunday, March 26, 2023 |
| Subject | Computer Science |
| Number | W4701 |
| Section | 001 |
| Division | Interfaculty |
| Campus | Morningside |
| Section key | 20231COMS4701W001 |
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