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)
(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:
- CLOs coming soon; please refer to your course syllabus in the meantime.