Faculty : Faculty of Engineering and Applied Sciences
School : Mechatronics and Robotics Engineering
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
No Courses Description
MTR611 - Computing in Robotics
Faculty : Faculty of Engineering and Applied Sciences
School : Mechatronics and Robotics Engineering
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
No Courses Description
MTR612 - Advanced Machine Learning.
Faculty : Faculty of Engineering and Applied Sciences
School : Mechatronics and Robotics Engineering
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
No Courses Description
MTR501 - Advanced Mechatronics Systems Design
Faculty : Faculty of Engineering and Applied Sciences
School : Mechatronics and Robotics Engineering
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
Critical thinking about mechatronic products with case studies. The mechatronic design philosophy applied to real product design cycle. Identification of the need and its types. Transducers, Sensors, and Sensor Fusion, Actuators, and Mechanical Drives,
Smart actuators, Motion Control, Modeling and Control of Mechatronic Systems, Comparison between computing devices for mechatronic systems. Designing and building intelligent machines as team projects with open end solutions with emphasis on final group project and building critical thinking skills.
MTR502 - Optimal Control
Faculty : Faculty of Engineering and Applied Sciences
School : Mechatronics and Robotics Engineering
Prerequisit Course : No Pre-Requisit Courses
Credit Hours : 3.00
Offered For : Post Graduate
Course Description :
An in-depth understanding of the problems in optimal control theory and their applications. Calculus of variations, Pontryagin‘s maximum principle, linear quadratic regulator design, dynamic programming, time-optimal, and output feedback regulating and tracking optimal control techniques for continuous-time systems. Theory of sufficient conditions and the Hamilton-JacobiBellman equations. Discrete-time techniques for calculus of variations, linear quadratic tracking, output feedback optimal control, and time-optimal control. Optimal observers and Kalman filtering.
