Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

An exploration of protocols and methods for allocating to more than one processor various parts of the work associated with a single task. Emphasis is on environments such as array processing, parallel processing and multiprocessor systems, and communication among cooperating processes. Issues discussed include reliability, security, and protection, as well as how these issues affect the development of programs and systems.

Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

No Courses Description

Faculty : Faculty of Engineering and Applied Sciences

School : Mechatronics and Robotics Engineering

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.

Faculty : Faculty of Engineering and Applied Sciences

School : Mechatronics and Robotics Engineering

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.

Faculty : Faculty of Engineering and Applied Sciences

School : Mechatronics and Robotics Engineering

Course Description :

Stability of linear control systems. PID controller design and tuning. State space modeling. Controllability and Observability. State feedback controller and observer design. Least squares system identification. Introduction to nonlinear systems. The Describing function method. The Phase plane method. Introduction to Lyapunov stability theory. Case studies applied to Inverted Pendulum and Magnetic levitation using Matlab and Labview.