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IME 3510 - Industrial Applications of Artificial Intelligence and Robotics (3)

Introduction to Artificial Intelligence, its history and philosophy. Problem-solving through uninformed, informed, and nature-inspired search methods. Study of intelligent methods such as Expert Systems, Neural Networks, and Fuzzy Logic. Introduction to robotics and robot hardware and software. Study of obstacle avoidance and motion planning methods (roadmaps, potential fields, sampling-based). Applications and case studies in the service and manufacturing industries.

Prerequisite(s): IME 3140 .
Component(s): Lecture
Contact Hour(s): 3 hours lecture
Grading Basis: Graded Only
Repeat for Credit: May be taken only once
When Offered: Fall, Spring
Course Category: Major Course

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