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EECE 484: Artificial Intelligence and Reinforcement Learning

Electrical & Computer Engineer · 4 credits · Electrical&ComputerEngineering

This course introduces the fundamental principles, techniques, and applications of artificial intelligence (AI) and reinforcement learning (RL). Topics include knowledge representation, heuristic and algorithmic search methods, reasoning and planning in uncertain environments, and algorithmic learning techniques in unknown environments. The course also includes a discussion of the ethical and societal implications of AI and RL. Students completing this course will have a working knowledge of the design and implementation of various algorithms that will allow an intelligent agent to accomplish tasks in complex environments. Applications of topics covered in this course may include robotics, autonomous driving, and computer games.

Offered in 1 of the 26 listed terms (Fall 2026).

Prerequisites

(EECE 244 or Electrical Engineerng OBSOLETE 244) and MATH 204 and (MATH 346 or EECE 346 or EECE 397E)

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.

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Instructors

InstructorSectionsTerms
Ramasubramanian, Bhaskar1Fall 2026

Every offering in the listed terms (1 section)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Fall 2026043605Lecture/LabTR 12:00pm-1:20pm · KB 213
W 12:00pm-1:50pm · KB 209
Ramasubramanian, Bhaskar15/30Face to Face Instruction