Programme
To qualify for the degree, student is required to obtain passing grades on a total of 8 elective courses within his/her study period. He/she must not fail more than one course, if any, during the study and must attain a cumulative GPA of 2.0 or above. The normal length of study is two years, and the maximum is four years. Special permission to allow a student to receive M.Sc. degree after just one year of study is possible if he or she manages to complete the course requirements with tendering of the full tuition fee. All courses are held in the evenings and/or weekends, each consisting of thirteen 3-hour lecture/laboratory sessions.
The programme is designed for practicing engineers and managers who have graduated for a few years. The courses are set up to be self-contained and independent. Reviews of fundamental theories are included in each of the courses.
Course Design
The following 12 elective courses will be offered:
Coursework Requirement
| (a) |
Students are required to complete a minimum of 24 units of courses for graduation. |
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Elective Courses from the following list: |
24 units |
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(i) |
ACE 7410, 7420, 7430, 7440, 7450, 7460, 7470, 7480, 7490, 7510, 7520 and 7530 |
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(ii) |
Students may select one non-ACE course from other M.Sc. programmes offered by the Faculty of Engineering for Engineering students as elective course with the approval of the Division Head. |
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Total: 24 units |
| (b) |
To complete the programme, a student must achieve an overall GPA of 2.0 or above and not fail in more than one course. |
Other Requirement
IT Proficiency Test. (Please refer to Postgraduate Student Handbook "Student IT Competence" on P. 745.)
Course Description
ACE7410 Computer Aided Design and Manufacturing
Curves and surfaces design: surface intersection, trimming, blending and fillets. Solid modeling: representation schemes, Boolean operations. Parametric and feature based design. Tool path generation.
ACE7420 Computer Interface and Simulation
Computer interface: sensor interface, interface design for automated systems, human-computer interaction, and teleoperated systems; virtual reality: solid modeling, graphic software, haptic interfaces, and applications; simulation: off-line programming, motion planning, introduction to dynamic simulation.
ACE7430 Computer Vision in Practice
Imaging models. Segmentation. Pose estimation by visual means. 3D shape estimation by stereo vision. Camera and stereo calibration. Motion tracking. Case studies and practical applications.
ACE7440 Control and Industrial Automation
State space representation, realizability, stability, controllabiity, observability, linear control design methods (pole placement, observer, asymptotic tracking and disturbance rejection, internal model design, feedforward design), introduction to nonlinear systems, examples of industrial control systems (robot control, satellite's attitude control, servomechanism, etc).
ACE7450 Industrial Information Processing
The course aims to introduce basic theory and advanced techniques for tackling various industrial information processing problems. Areas of discussion include random signal analysis, detection and estimation theory, and other specialized topics such as wavelets and adaptive signal processing. The required background knowledge will be reviewed at the beginning of the course.
ACE7460 Applied Computational Intelligence
Various areas of emerging technologies of computationally intelligent systems. Introduction and review of neural networks, support vector machines, fuzzy systems, simulated annealing, and genetic algorithms. The applications of intelligent systems to control, robotics, automation, manufacturing, and transportation systems.
ACE7470 Product Design and Manufacturing
This course covers topics in product design and manufacturing such as: Product development process; Concept generation and selection; Time-to-market and product life cycle; Product architecture and platform; Design for manufacture and quality; Product design economics; Organization for effective product development; Concurrent engineering; Rapid prototyping and tooling technologies; Metal-products and plastic-products manufacturing; Microelectronics and optoelectronics manufacturing; Agile manufacturing.
ACE7480 Measurement and Instrumentation
This course is intended to provide basic concepts, the methods to interface electro-mechanical parts and sensors to computers. Topics include: analogue and digital circuitry; design of linear circuits with existing ICs and Op-amps; design of low-noise circuit to enhance the sensed signal.
ACE7490 Microelectromechanical Systems Technology and Applications
Introduction to micro systems: integrated circuit and micromachines; microelectromechanical systems (MEMS) fabrication techniques; operational principles of micro sensors and actuators; macro to micro world scaling effects and issues; design and analysis of micro sensors and actuators; applications of micro sensors and actuators in robotic, biomedical, aerospace, and manufacturing industries.
ACE7510 Robotics
Introduction to robotics and its applications in industries and services. Classification of robot systems, forward and inverse kinematics associated to manipulator motion, robot design, control, sensing, and programming.
ACE7520 Smart Materials and Structures
Overview of smart materials technology; characteristics of smart materials such as piezoelectric materials, magnetorheological fluids, and shape memory alloys; smart actuators and sensors; structural modeling and design; dynamics and control for smart structures; integrated system analysis; applications in buildings, automobiles, trains, robots, manufacturing systems, and biomedical devices.
ACE7530 Systems and Optimization
Discrete and continuous time systems. State equations. Static optimization, Unconstrained optimization. Newton's method, Gradient methods, Constrained optimization methods. Hamiltonian functions. Examples in optimal control.
