- E-JUST course Catalog

Faculty of Engineering and Applied Sciences

Post Graduate - Results Found per page: 5

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MTR601 - Intelligent Control Systems

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 :

Fuzzy control systems, PID + Fuzzy control, Learning and Neural network. Adaptive Neuro-Fuzzy inference system ANFIS. Genetic and evolutionary algorithms for optimization, Case studies for application of intelligent approaches on control systems design.
MTR602 - Advanced Robotics

Faculty : Faculty of Engineering and Applied Sciences
School : Mechatronics and Robotics Engineering

Prerequisit Course : MTR508
Credit Hours : 3.00
Offered For : Post Graduate

Course Description :

No Courses Description
MTR603 - Advanced Bio-Engineering Systems

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 :

Bioprocess engineering, Computational bio-systems, Cell and tissue engineering, Nano-biotechnology and biomaterials, Biomedical devices and technologies, Drug development practices and neuroscience.
MTR604 - Bio-Mechatronics Systems

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 :

Bio-mechatronics, Bio Interfaces for diagnostics and control. Active and passive prosthetic limbs and joints. Bio electrical signal processing.Haptic Devices. Robot-based surgery. Medical Imaging. Rehabilitation and assistive devices.
MTR605 - Smart Sensors and Actuators

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 :

Classification of smart materials: electrostrictive, piezoelectric ceramics, shape memory alloys. Magnetostrictive materials, and electrorheological fluids. Characteristics of smart sensors and actuators. The applied driving forces: electrical, thermal, and magnetic fields – Working principles of the different smart materials.