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Master’s Degree Programme

Mode of Study Academic Thesis Applied Thesis
Compulsory Courses
 
 

Laplace Transform. Transforms of Derivatives and Integrals. s-Shifting, t-Shifting, Unit Step Function, Dirac’s Delta Function, Differentiation and Integration of Transforms, Convolution, The Heaviside Expansion Theorem, Periodic Functions. Fourier Series, Half-Range Expansion, Complex Fourier Series. Fourier Integrals. Fourier Transform. Series Solution of Differential Equations, Legendre Polynomial, Bessel Functions. Sturm-Liouville Problem, Eigenfunction Expansions. Partial Differential Equations. Separation Variables, Use of Fourier-Bessel Series, Use of Fourier-Legendre Series. Solution by Laplace Transforms, solution by Fourier Transforms.

Laplace Transform. Transforms of Derivatives and Integrals. s-Shifting, t-Shifting, Unit Step Function, Dirac’s Delta Function, Differentiation and Integration of Transforms, Convolution, The Heaviside Expansion Theorem, Periodic Functions. Fourier Series, Half-Range Expansion, Complex Fourier Series. Fourier Integrals. Fourier Transform. Series Solution of Differential Equations, Legendre Polynomial, Bessel Functions. Sturm-Liouville Problem, Eigenfunction Expansions. Partial Differential Equations. Separation Variables, Use of Fourier-Bessel Series, Use of Fourier-Legendre Series. Solution by Laplace Transforms, solution by Fourier Transforms.

Provide an academic background of research work for students’ thesis under the coordination of the future supervisor. In the end the students have to write a report and discuss it with supervisor.

Provide an academic background of research work for students’ thesis under the coordination of the future supervisor. In the end the students have to write a report and discuss it with supervisor.

An independent and original research study under the supervision of a faculty staff member. An academic thesis is a scholarly written document of a piece of original research on a particular topic in consistent with every details of research methodology. In general, the study could result in a technical publication or a presentation at a professional meeting.

An independent project under the supervision of a faculty staff member. An applied thesis focuses on combining existing academic theories or advanced technologies with an evaluation of a case study or industrial project. The goal of this option is to facilitate the integration of practice with academic research.

Required Elective Courses 6 required electives chosen from the elective table (18 credits) 7 required electives chosen from the elective table (21 credits)
Total Credits 30 credits 30 credits
Mode of Study Project Report Internship and Report
Compulsory Courses

First-order Ordinary Differential Equation; Second-order Ordinary Differential Equation; Fourier Series, Integrals, and Transforms; Analytical Solution of Partial Differential Equations: Heat Equation, Wave Equation, Circular Membrane, Laplace’s Equation, Poisson’s Equation; Complex Analytic Functions; Complex Integration; Power Series; Taylor Series; Laurent Series; Residue Integration Method; Numerical methods in Linear algebra with Matlab; Numerical Methods for Differential Equations with Matlab.

First-order Ordinary Differential Equation; Second-order Ordinary Differential Equation; Fourier Series, Integrals, and Transforms; Analytical Solution of Partial Differential Equations: Heat Equation, Wave Equation, Circular Membrane, Laplace’s Equation, Poisson’s Equation; Complex Analytic Functions; Complex Integration; Power Series; Taylor Series; Laurent Series; Residue Integration Method; Numerical methods in Linear algebra with Matlab; Numerical Methods for Differential Equations with Matlab.

Project Report is distinguished from the Academic Thesis by its focus on combining existing academic theories or advanced technologies with an evaluation of a case study or academic project. Project Report focuses on combining existing academic theories or advanced technologies with an evaluation of a case study or academic project. The goal of this option is to facilitate the integration of practice with academic research.

An independent project in cooperation with industry carried out under the supervision of a faculty staff member and co-supervised by an industrial supervisor.

Required Elective Courses 7 required electives chosen from the elective table (21 credits) 8 required electives chosen from the elective table (24 credits)
Total Credits 30 credits 30 credits

List of Required Elective Courses (3 credits for each course)

EMEN7002

Atomic Theory: Hydrogen atom, Angular momentum and Pauli Exclusion Principle, Energy levels of atom, Energy bands, Fermi energy. Defects of materials. Dislocation: Edge dislocation, Screw dislocation, Burgers vector, Dislocation density, Elastic property of dislocation, Force on dislocation, Stress field and strain energy of dislocation, Dislocation motion and interaction, Dislocations in real crystal, Dislocations observation. Atomic structures and properties of some new materials.

EMEN7003

Principle of minimum potential energy; Principle of minimum complementary energy; Ritz method; Galerkin method; Kantonowitch method; Treffiz method; Hellinger-Reissner principle; Hu-washizu principle; Lagrange multiplier; High order Lagrange multiplier; Variational principle of non-linear elasticity; Methods for establishing generalized variational principle; Variational principle and the relating theorems in limit analysis; Applications for FEM, for limit analysis, for to find solutions and for to derive formulas; Developments in research work.

EMEN7006

Mechanical system interfacing; Combinational digital logic; Synchronous sequential logic; Asynchronous sequential logic; Register transfer logic; Embedded control computers; Analog digital conversion; Position and velocity measurement; Operational amplifiers for analog signal processing; Power amplifiers.

EMEN7007

Application of fundamental principles of single- and two-phase fluid dynamics and heat transfer to the design and analysis of different types of heat exchangers, such as double pipe heat exchangers, shell and tube heat exchangers, fin-plate heat exchangers, cross flow heat exchangers.

EMEN7008

Convective heat transfer occurs in almost all branches of engineering applications. This course will cover the followings. The equation of convective heat transfer, the differential equation for the boundary layer, the integral equation of the boundary layer, momentum and heat transfer for the laminar internal and external flow, the momentum and heat transfer for the turbulent internal and external flow, natural and mixed convections.

EMEN7009

The purpose of this course is to use computational method to investigate heat transfer and fluid flow and other related processes that occur in engineering equipment. This course will cover: Discretization method. Explicit and implicit methods for heat conduction. Upwind, exponential, hybrid and power-law schemes for convection. Calculation of flow field use various algorithms.

EMEN7010

Renewable energy resources. Solar energy, wind power, wave and tidal power, geothermal energy, hydroelectric power. Environmental assessment of alternative energy resources. Conventional energy resources, fossil fuel in solids, liquid and gaseous states. Nuclear energy. Energy analysis, energy economics, energy and society. Energy and the third world, energy conservation and energy policies.

EMEN7011

Analyzes kinematic characteristics of planar and spatial manipulators. Differential kinematics and statics. Dynamics. Trajectory planning. Introduction to feedback control of physical system behavior. State-space and functional descriptions of linear and nonlinear systems. Feedback, stability, and robustness. Design of PID controllers and compensators. Interaction control. Actuators and sensors. Robot control architecture.

EMEN7014

Basics of fluid flow and hydro-mechanics. Advanced pneumatic power systems. Advanced hydraulic power systems. Fluidics. Fluid logic control circuits. Modelling of fluid power systems. Fluid power system control. Dynamic analysis and simulation of fluid power systems. Fluid power plumbing and maintenance.

EMEN7017

Laser physics, types of lasers and laser radiation for material processing, laser hazards & safety, laser optics and beam delivery systems, laser beam interaction with materials, laser materials processing : laser surface engineering, laser cutting, laser welding, laser drilling, laser marking, laser selective sintering.

EMEN7018

In industry, material degradation of components and equipment arises from one or more of the three modes: wear, corrosion and fracture. The lifetime of the component is determined by the interaction among materials properties, component design, and the application conditions. This course intends to give a comprehensive knowledge on materials degradation and preventive methods by surface engineering. In addition, the fabrication of microelectronic devices will also be introduced in this course. This course focuses on the following topics: Surfaces: Their Nature, Roughness & Characterization; Corrosion; Tribology; Friction, Wear & Lubrication; Surface Treatment & Coating Technology.

EMEN7019

To introduce the most advanced technologies in the field of thermal engineering according to recent literatures/ publications in indoor air quality, ventilation and energy saving and advanced HVAC systems.

EMEN7020

To introduce the most advanced technologies in the field of thermal engineering according to recent literatures/ publications in single and multi-phase heat transfer and its applications.

EMEN7021

Introduction to road vehicles. Modern internal combustion (IC) engine construction. Fuels and combustion. Thermodynamic analysis of IC engines. Advances in IC engines. Electronic fuel injection. Variable valve actuation. Turbocharging and supercharging. Advanced electronic control technology. Emission control. Engine characteristics and performance measurement. Engine trouble-diagnosis. Advanced automotive drive trains, braking, steering and suspension systems. Safety devices. Racing technology. Vehicle aerodynamics. Chassis engineering. Automobile mechanics.

EMEN7022

This course presents theories for preventing/mitigating the failure modes that are most frequently encountered in mechanical engineering. These include fatigue, stress concentration, fracture, creep, impact, buckling, wear, residual stresses, etc. This course shall cover such important design tools as: linear fracture mechanics, the various widely-used rules for predicting fatigue strength, models for predicting crack growth, the most important criteria for yield failure, and so forth. Case studies (such as the effects of residual stresses on the failure of railway rails) that involved the various failure modes shall be discussed, with an eye to reinforcing the students’ ability in applying the various theories.

EMEN7023
  • To introduce the most advanced technologies in the field of electrical services engineering according to recent literatures and publications.
  • To introduce the fundamentals in design of vertical transportation, security, lighting and energy storage systems.
  • To enable students to understand the major design features, operating characteristics and functions of facilities used in electrical building services.
EMEN7024
  • To provide students understanding of various advanced electromechanical energy conversion systems, including the operating principles, performance characteristics and applications.
  • To provide students knowledge in the selection, operation and control of electric machines.
  • To ensure the students to develop an understanding of various variable speed drive systems and their applications
EMEN7025

Students will gain an understanding of the basic theoretical concepts, principles and techniques of ergonomics as well as an introduction to fundamental ergonomic measurement tools for assessment of physical workload, posture, occupational exposure, and stress. The topics include systems design and task analysis, muscle use and anthropometry, workspace design, activity-related soft tissue disorders, back injuries, shiftwork, organizational and psychosocial aspects of work, skilled work and mental activity and regulations in ergonomics. The professional software such as “HumanCAD” is introduced for supporting ergonomic systems design and task analysis. The students are required to complete a related course project.

EMEN7027

This course is to develop students’ understanding of fundamentals of acoustics and its applications. Through this course students should be capable of modeling and analyzing engineering acoustics problems. Topics include: Fundamentals of vibrations. Vibration of continuous bodies (string, bar, plate). Acoustics wave equation. Acoustics impedance, power, and intensity. Spectral descriptions of acoustics. Transmission and reflection of sound. Acoustic radiation. Room acoustics. Introduction of acoustics and vibration measurements. Introduction of boundary element method.

EMEN7028

This course will introduce the electrical and mechanical aspects of EVs, including the fundamentals, design, control, modeling, battery and other energy storage, electricpropulsion systems. It will cover vehicle dynamics, energy sources, electric propulsion systems, regenerative braking, parallel and series hybrid electric vehicle (HEV) design, EV charging and infrastructure, impacts to environment and economy, and practical design considerations.

EMEN7029

Any specialized topic in Electromechanical Engineering chosen by staff member who has experience in that particular field, but the topic is not covered by the other postgraduate courses in the MSc. programme.

EMEN7030

Any specialized topic in Electromechanical Engineering chosen by staff member who has experience in that particular field, but the topic is not covered by the other postgraduate courses in the MSc. programme.

EMEN7031

Micro/nanotechnology has become very important in creating innovative technologies in the fields of ultrahigh precision mechatronics, bio-medical engineering and energy/environmental technology. This course introduces fundamental aspects of micromechatronics. It involves scaling laws at the micro/nano-scales, electrostatics, piezoelectrics, electromagnetism, measurement tools, materials and fabrication methods, diverse micromechatronic systems and their applications.

EMEN7032

This course introduces the fundamentals of intelligent system technologies and their engineering applications. It will present the principles of knowledge-based systems, fuzzy logic and artificial neural networks and explore how manufacturing and automation could benefit from application of these technologies. It will also discuss the representation of knowledge, knowledge acquisition, decision making mechanism, learning and machine learning, as well as its applications in various engineering domains.

EMEN7033

This course is intended to introduce to the concepts of supervision and management in an engineering environment. Design of Work Systems, Facilities design and planning, Operation Management, Knowledge Management, Supply Chain Management, Materials and Inventory Management, Logistical Management, Enterprise Resource Planning, and Decision Making System are studied as part of the course. Skills on analytical problem solving, statistical thinking and creativity are essential. The course project is required to apply Industrial Engineering (IE) and Engineering Management (EM) technology in solving the critical problems for the industries.

EMEN7034

This course studies modern design and manufacturing techniques in the computer-based environment. It is designed to address the key issues in product development with the goal of providing the future engineers with a thorough understanding of the concepts and technologies in CAD/CAM/CAE. The major focus of the course will be computer graphics, geometric modeling, design reuse, feature recognition, process planning, NC path planning, rapid prototyping, engineering optimization, and computer integrated manufacturing.

EMEN7035

Innovation management and new product development are critical for improving the competitiveness of economies and firms. This course presents and utilizes multi-disciplinary approaches to cover different aspects of product design innovation and development management. The topics include innovation management, product design and optimization, design principle and process (design for manufacturability/environment/usability/X, axiomatic design, robust design, etc), product portfolio management, product life cycle management and design collaboration, etc.

EMEN7036

The complexity of the design and control problems encountered in the modern production system is increasing. This course introduces modeling and analysis methods for linking decision and performance throughout the production system. The methods could be used to support analysis of alternative manufacturing material/service strategies. The fundamental production operation issues will be discussed, ranging from serial systems, mass customization, quality control, group technology, cellular manufacturing, facility management, layout planning and material handling systems, etc.

EMEN7038

Mechanical processing technologies are amongst the eldest manufacturing processes used by mankind. These processes are multi-discipline activities that require knowledge from different engineering areas. The methods for analysing these processes seek to integrate this multi-disciplinary aspect to obtain analytical or numeral solutions for the distribution of main field variables in the interior of the parts and the tool-part contact surfaces, resulting in a group of essential elements for design, project and optimization of parts and tools, aiding future engineers to cultivate a critical spirit on analysing the results and purpose alternative manufacturing solutions.

EMEN7039

This course provides the concepts and methods of prognostics and health management (PHM) of engineering system, which describes PHM techniques and their applications in engineering systems. A variety of tools and techniques for developing health management and monitoring of components and systems will be discussed. Topics related to sensor signal acquisition, data pre-processing techniques, various signals processing methods for feature extraction, machine learning methods and data driven prognostics models. After successfully completing this course, students will have a good understanding of system health monitoring, optimum sensor placement for health assessment, and current challenges and opportunities in the PHM field.