MS in Mechatronics Engineering

By Decree # 677/2007, AUST has been authorized to establish new faculties and offer new majors. As such, the prospective MS degree in Mechatronics Engineering, as a stand alone major, will be offered as soon as AUST receives the approval of and the permission from the Lebanese Directorate General of Higher Education.


Mechatronics integrates mechanical, electrical, and computer engineering to design hybrid systems used in people’s everyday life. Accordingly, the Master of Science in Mechatronics Engineering program at AUST has been planned to satisfy the needs of industry, develop in the graduate the ability to conduct multidisciplinary research, and to enhance the ability to integrate systems of components and people from different engineering disciplines. This graduate program is specifically designed for engineers, scientists, researchers, and other related professionals with an interest to pursue a career in this field.

 

 
 
TOTAL REQUIRED CREDITS FOR GRADUATION (39 credits)
CORE REQUIREMENTS (24 credits)
CODE DESCRIPTION PREREQUISITE CR.
MTE 500 Analytical and Adaptive Dynamics in Mechatronic Systems Consent of Advisor
3
MTE 510 Mechanical Design of Mechatronic Systems & Robots Consent of Advisor
3
MTE 520 Modern Control in Mechatronic Systems Consent of Advisor
3
MTE 530 Adaptive Control in Mechatronic Systems MTE 520 OR Consent of Advisor
3
MTE 540 Optimization in Mechatronic Systems MTE 520 OR Consent of Advisor
3
MTE 545 Power Electronics and Drives Consent of Advisor
3
MTE 550 Intelligent Control MTE 520 OR Consent of Advisor
3
MTE 555 Embedded Systems Consent of Advisor
3
GRADUATION REQUIREMENTS (6 Credits)
CODE DESCRIPTION PREREQUISITE CR.
MTE 560 Mechatronic Systems Implementation- I Consent of Advisor
3
MTE 570 Mechatronic Systems Implementation- II MTE 560 OR Consent of Advisor
3
MTE 599 MS Thesis Consent of Advisor
6
TECHNICAL ELECTIVES (9 credits)
CODE DESCRIPTION PREREQUISITE CR.
MTE 580 Intelligent Systems Consent of Advisor
3
MTE 581 Advanced Topics in Intelligent Systems MTE 580
3
MTE 582 Advanced Microprocessors Consent of Advisor
3
MTE 583 Digital Control Systems Consent of Advisor
3
MTE 584 Stability in Mechatronic Systems Consent of Advisor
3
MTE 585 Algorithmic Synthesis of Complex Mechatronic Systems Consent of Advisor
3
MTE 586 Special Topics in Mechatronic Systems Engineering Consent of Advisor
3
MTE 587 Robust Mechatronic Systems Consent of Advisor
3
Course Descriptions
MTE 500
Analytical and Adaptive Dynamics in Mechatronic Systems
This is a graduate-level course in the mechatronics engineering program. The objectives of this course are to provide the student an in-depth knowledge of advance engineering mechanics in mechatronics systems. The course covers the following topics: Introduction to mechatronic systems engineering: mechanical, electrical, and electronics components. Analytical and adaptive dynamics as the basis for the control algorithm development and a mechatronic system design. Advanced topics in analytical and adaptive dynamics are also presented including direct and inverse dynamic problems, stability of mechatronic systems, among others.
Prerequisite: Consent of Advisor
MTE 510
Mechanical Design of Mechatronic Systems & Robots
This is a graduate-level course in the mechatronics engineering program. The objectives of this course are to provide the student with specifics in mechanical design of mechatronic systems with concentration on robots. The course covers the following topics: Requirements to mechanical systems as components of mechatronic systems and design methods. Position, kinematics, and dynamic force analysis of robot manipulators in rigid and non-rigid designs. Analysis and optimization of vibrations in robot manipulators. Critical design components presented in conjunction with the motion requirements.
Prerequisite: Consent of Advisor
MTE 520
Modern Control in Mechatronic Systems
This is a graduate-level course in the mechatronics engineering program. The objectives of this course are to provide the student with knowledge in modern control as used in mechatronic systems. The course covers the following topics: Dynamic processes and characteristics of mechatronic system components with emphasis on the structure of feedback control theory and practice; stability of linear feedback systems; and robust and digital control systems.
Prerequisite: Consent of Advisor
MTE 530
Adaptive Control in Mechatronic Systems
This is a graduate-level course in the mechatronics engineering program. The objectives of this course are to provide the student with an analytical study in adaptive control for advanced applications in linear and non-linear dynamic systems. The course covers the following topics: gain scheduling controller modeling; model reference control (high-gain scheme); model reference adaptive control (parallel scheme); self-tuning regulators; and direct and indirect control.
Prerequisite: MTE 520 OR Consent of Advisor
MTE 540
Optimization in Mechatronic Systems
This is a graduate-level course in the mechatronics engineering program. The objectives of this course are to provide the student with an in-depth coverage of different optimization techniques in mechatronics systems. The course covers the following topics: Classical and numerical methods of optimization; applications of controller optimization; optimal controlling for single-criterion and multi-criteria systems; and virtual implementation of optimal control.
Prerequisite: MTE 520 OR Consent of Advisor
MTE 545
Power Electronics and Drives
This is a senior-level technical elective course in the mechatronics engineering program. The objectives of this course are to provide the student with an understanding of power conversion circuits using modern power switching devices and their application to equipment supplies and the control of electric drives. It covers the following topics: power switching devices and their application, dc-dc converters, ac-dc converters, including switch-mode power supplies, dc-ac conversion using inverters, methods of pulse width modulation, selection of motors for industrial applications, and the design of closed loop speed control systems for dc and ac motors.
Prerequisite: Consent of Advisor
MTE 550
Intelligent Control
This is a graduate-level course in the mechatronics engineering program. The objectives of this course are to provide the student with in-depth coverage of artificial intelligent techniques applied to system control of mechatronic systems. The course covers the following topics: expert systems, fuzzy logic, neural networks, evolutionary computing, and hybrid systems.
Prerequisite: MTE 520 OR Consent of Advisor
MTE 555
Embedded Systems
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to provide the student with in-depth coverage of the fundamentals of computer systems design, interfacing, and basics of embedded computers (microprocessors). The course covers the following topics: computer system design; microcomputer design; embedded system design; I/O interfacing techniques for embedded devices, digital and analog I/O, and timers; device driver software development; computer systems design and tools; hardware/software interface; memories and I/O processing; and, interrupt and exception handling. Course projects require the students to successfully design, implement, debug, and document computer solutions requiring a combination of hardware and software.
Prerequisite: Consent of Advisor
MTE 560
Mechatronic Systems Implementation- I
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to integrate the knowledge that the student has gained in all other courses, and covers the theory and real design of mechatronic systems. All components of mechatronic systems are presented in an analytical study approach. At the end of the course the student will be able to design a mechatronic system.
Prerequisite: Consent of Advisor
MTE 570
Mechatronic Systems Implementation- II
This is a graduate-level course in the mechatronics engineering program. This lecture and project-oriented course is an addition to the first course on Mechatronic Systems Implementation. All lectures cover major topics from the theory showing real world applications. Project topics are oriented on designing actual mechatronic systems.
Prerequisite: MTE 560 OR Consent of Advisor
MTE 599
MS Thesis
A thesis based on independent research
Prerequisite: Consent of Advisor
MTE 580
Intelligent Systems
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to provide the student with an introduction to artificial intelligence and computational intelligence. The course covers the following topics: problem solving by searching; optimization methods; knowledge representation and reasoning; machine learning; multi-agent systems; pattern recognition; introduction to artificial neural networks; and fuzzy logic.
Prerequisite: Consent of Advisor
MTE 581
Advanced Topics in Intelligent Systems
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to provide the student with an in-depth coverage of advanced topics in artificial intelligence and computational intelligence. The course covers the following topics: Advanced evolutionary computation; advanced neural networks; advanced fuzzy logic systems; introduction to neuro-fuzzy systems and soft computing; and practical applications of computational intelligence to wireless devices, web programming, robotics and data mining.
Prerequisite: MTE 580
MTE 582
Advanced Microprocessors
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to provide the student with in-depth expertise to design and develop applications microcomputers. The course covers the following topics: 16-bit versus 32-bit processor organization, controller design, I/O port interfacing, memory structure, addressing methods, keyboard and display interface, hardware arithmetic functions, and design and interface considerations for peripheral ad interrupt devices.
Prerequisite: Consent of Advisor
MTE 583
Digital Control Systems
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to provide the student with an in-depth coverage of digital control systems. The course covers the following topics: Discrete time mathematics, Z-transforms, sampling rates, zero and first-order hold, time delays, system stability, continuous and discrete time systems, interfacing, computer control implementation concepts, and state space realization.
Prerequisite: Consent of Advisor
MTE 584
Stability in Mechatronic Systems
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to provide the student with an in-depth coverage of the theory of stability of mechanical systems with an emphasis on the stability of electrical/electronic components for real world applications in mechatronics.
Prerequisite: Consent of Advisor
MTE 585
Algorithmic Synthesis of Complex Mechatronic Systems
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to provide the student with an in-depth coverage of the theory and application of adaptive and optimal control systems using an algorithmic approach. The course covers the following topics: Some specific issues in the theory and application of adaptive and optimal control systems - synthesis of control laws, choice of weight coefficients for control quality, and quasi-optimal systems. All procedures are given in the form of algorithms
Prerequisite: Consent of Advisor
MTE 586
Special Topics in Mechatronic Systems Engineering
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to cover a specialized or a new topic in the Mechatronic Systems Engineering field that is not covered by other courses. This course demands the interest of both faculty and student
Prerequisite: Consent of Advisor
MTE 587
Robust Mechatronic Systems
This is a graduate-level course in the mechatronics engineering program. The objective of this course is to expose the student to advanced topics in robust control. The course covers the following topics: advanced topics in robust control including fundamentals of theory; detailed fuzzy logic in control system design; neuro-control through the use of artificial neural networks and adaptive control based on neural network modeling
Prerequisite: Consent of Advisor

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