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MREN 410  Intelligent Machines and Autonomous Systems  Units: 3.50  
This course provides students with a working knowledge of methods for design and analysis of robotic and intelligent machines that can think, learn and act in uncertain conditions. Topics include basic principles and methods of machine vision, machine learning and identification, decision-making, and their applications in the design of an autonomous system.
(Lec: 3, Lab: 0.5, Tut: 0)
Requirements: Prerequisites: MREN 178, MREN 223 and ELEC 371, or permission of the instructor Corequisites: Exclusions:   
Offering Term: W  
CEAB Units:    
Mathematics 0  
Natural Sciences 0  
Complementary Studies 0  
Engineering Science 24  
Engineering Design 18  
Offering Faculty: Smith Engineering  

Course Learning Outcomes:

  1. CLOs coming soon; please refer to your course syllabus in the meantime.