ENGR 417 Intelligent Systems (3)

The course is an advanced course that combines control systems, data analysis and machine learning. The control part of the course will study state-of-the-art algorithms used for creating and sustaining vehicle formations, and adding a vehicle to or removing a vehicle from a formation. The course will also explore how to analyze vehicle data for the determination of its condition, and for understanding the impact of human driving actions on vehicle performance. And finally, the course will assess the capabilities of machine learning algorithms that can learn how to adapt formations to vehicle inputs from humans. The objective of the course is to educate the students on emerging technologies related to autonomous and (mixed) human-machine navigation of ground, air and underwater vehicles.
Prerequisite(s): ENGR 401/ENGR 401L and ENGR 410/ENGR 410L
Course Frequency: Occasional