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CSCI 402: Symbolic Artificial Intelligence

Computer Science · 4 credits

Artificial Intelligence is the computational study of intelligent behavior. This course explores the symbolic aproach to artificial intelligence, emphasizing reasoning with explicit knowledge and rules rather than data-driven learning. Students learn how computers can represent knowledge, reason about problems, plan actions, and make decisions using symbolic and rule-based methods. Topics include search, logic, planning, expert systems, and an introduction to evolutionary computation, as well as social and ethical considerations of artificial intelligence.

Offered in 4 of the 26 listed terms (Winter 2022 to Winter 2025).

Prerequisites

CSCI 305

Prerequisite tree

Each course's own prerequisites, down to the first courses in the chain.

From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

Required by (0)

No course lists it as a prerequisite.

Syllabi and course websites

None listed yet.

Instructors

InstructorSectionsTerms
Deneke, Wesley3Winter 2022 to Winter 2024
Tuor, Aaron1Winter 2025

Every offering in the listed terms (4 sections)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Winter 20250
Artificial Intelligence
12987LectureMTWF 1:00pm-1:50pm · CF 115Tuor, Aaron34/35Face to Face Instruction
Winter 20240
Artificial Intelligence
13915LectureTR 10:00am-11:40am · CV 264Deneke, Wesley35/35Face to Face Instruction
Fall 20220
Artificial Intelligence
44065LectureTR 12:00pm-1:50pm · CF 120Deneke, Wesley35/35Face to Face Instruction
Winter 20220
Artificial Intelligence
14132LectureMTWF 1:00pm-1:50pm · CF 025Deneke, Wesley34/35Face to Face Instruction