PhD in Mechatronics Engineering

The PhD degree is conferred in recognition of marked ability and scholarship in some relatively broad field of knowledge. The student must perform an independent investigation in the form of a thesis.

Programme Description

Printer-friendly versionSend by email

Upon admission to and enrolment in the Kulliyyah of Engineering, all PhD students are eligible and given the option to sit for the Comprehensive Examination.

In the event that either (1) a PhD student sits and fails the Comprehensive Examination or (2) a PhD student chooses to defer his Comprehensive Examination and take some postgraduate courses, the Kulliyyah of Engineering, after recommendation from the relevant department, will assign three postgraduate engineering courses to be taken by the student.

With a minimum grade of B (CGPA of 3.0 or above), he/she will be allowed to sit for the Comprehensive Examination. The student can repeat the Comprehensive Examination only once. After passing the Comprehensive Examination, a PhD student registers for the thesis and starts in consultation with his/her supervisor, preparing his/her thesis.

All PhD students are required to submit a thesis that contains the findings of their research project which carries 0 credit hours. Students will select a research topic via consultation with their supervisors who will guide the students in the preparation and the progress of both research work and thesis writing.

The students will defend their thesis in front of a Thesis Examination Committee in a public seminar. All Master’s and PhD theses should be submitted according to the Thesis Format specified by the Graduate Studies Administration.

Other graduation requirements for the PhD programmes are (i) taking a Seminar Course for two semesters, and (ii) taking the course RKGS 6000 Values, Technology and Society. If it is deemed necessary to reinforce and/or supplement the engineering background of a PhD student, he/she could be asked by his/her supervisor to attend certain undergraduate or postgraduate courses as special-requirement courses and/or audit courses.

 

a. MCT 8999 Thesis (0 credits)

b. MCT 7995 Comprehensive Examination

c. MCT 8994 Research Proposal

d. MCT 7101 Advanced Topics in Mechatronics (3 credits)

Module contents vary depending on the specialized topics covered in this course. This course is critical to capture the latest technological developments in mechatronics and its related fields.

e. MCT 7102 Advanced Topics in Control Systems (3 credits)

Introduction to state space analysis and design of control system. Observer based controllers; Ricatti equation; Pontryagin’s maximum principle and dynamics programming. Introduction to Stochastic control, adaptive and self-tuning control systems.

f. MCT 7103 Advanced Topics in Signal Processing (3 credits)

Modern methods in signal processing including filter design techniques. Multirate signal processing. Adaptive signal processing. Power spectral estimation. Nonstationary signal modeling. Neural network algorithms. Case studies of selected topics in digital signal processing.

g. MCT 7104 Advanced Robotics (3 credits)

Spatial descriptions and transformations, forward and inverse kinematics, mechanics of robot motion, static force and compliance, robot dynamics, trajectory planning and optimization, robot control and robot sensing.

h. MCT 7106 Real-time System Integration (3 credits)

Interfacing techniques. Combinational digital logic (includes PLC and PLD). Embedded control computers; sensors and actuators; power amplifiers (transistors, PWM amplifiers); Analog/Digital conversion. Practical implementation and projects.

i. MCT 7107 Neural Networks (3 credits)

Recurrent and non-recurrent networks, perception, multilayer networks and back-propagation, Hopfield network. Bidirectional associative memory, ART. Applications : content addressable memory, optimization, pattern recognition and data compression. Hardware : analog and digital VLSI and optical neural networks.

j. MCT 7108 Structural Dynamics and Control (3 credits)

Newtonian mechanics, principles of analytical mechanics, concepts of linear system theory, lumped parameter structures, control of lumped parameter systems. Classical and modern approaches. Distributed-parameter structures. Exact and approximate methods. Controls of distributed structures. Smart materials applications in structural control. Case studies.

k. MCT 7197 Seminar (0 credit)

Research seminar on current topics.

l. MCT 7198 Seminar (0 credit)

Research seminar on current topics.
 

 

Entry Requirements

 

Study Mode Duration Tuition Fees Intake Date
Full Time
Minimum of 2 years
Normal of 3 years
Maximum of 6 years
MYR 3,200 per semester
Jul 2011
Nov 2011
Part Time
Minimum of 3 years
Normal of 6 years 
Maximum of 8 years
MYR 1,600 per semester
Jul 2011
Nov 2011
 

Students must have:

  • A relevant master’s degree with good grades from IIUM or any other institutes of higher learning recognized by the IIUM Senate in the relevant area, or
  • Any other certificates that are recognized as equivalent to a master’s degree and relevant professional experience that is recognized by the Senate in the relevant area

Language Requirements

Applicants must present:

  • A score of 550 in the Test of English as a Foreign Language (TOEFL) or
  • 6.0 points in the test administered by the International English Language Testing Service (IELTS).

Applicants who are unable to submit satisfactory results in any of the above test may take up language proficiency courses at the University to fulfill the admission requirements.

Courses