Modules Synopsis

Modules	Module NAME	MODULE LEADS	Synosis of the course
EEE6004	Power Systems Fault Analysis and Protection	Tan Kuan Tak	This module equips students with in-depth knowledge and practical competency in power systems fault analysis, alongside the design and operation of protection systems to ensure the reliability and safety of electrical power networks. Delivered in a technology-enabled learning mode, this module incorporates the use of industry-standard simulation software for power system analysis and operation. This module covers the principles and application of fault analysis, the operating characteristics of protection devices and circuits, and the design of coordinated protection schemes for power systems.
EEE6210	Practices in Electrical Installation	Audrey Ang / Tan Kuan Tak	This module is designed to equip participants with in-depth knowledge and competency in selected topics in electrical engineering, such as electrical installation design, earthing systems, and lightning protection for the built environment. Participants will explore the design considerations for societal responsibilities, public safety, environment, and sustainability in the electrical engineering context. Additionally, key components relevant across major industries will also be covered, including lighting, fans, HVAC, pumps, maintenance, automation, motor drives, power conversion, and life cycle costs. The module will be based on relevant codes of practice from the perspective of practising engineers, and it aims to broaden and enhance engineers’ expertise to remain relevant in the industry.
EEE6212	Integrated Project in Electrical Systems	Audrey Ang / Tan Kuan Tak	This module is an independent, individual project undertaken in conjunction with the coursework modules within the Module Group/Graduate Certificate in Electrical Engineering Professional Practices. Learners are expected to demonstrate knowledge and understanding of electrical engineering design, practices, and project management by applying them to investigative-based solutions for complex problems in electrical installation design for buildings. This includes cable sizing, protection device selection and coordination, ensuring compliance with relevant codes of practice, industry standards, and functional safety requirements. Complex engineering problems cannot be resolved without in-depth engineering knowledge and typically exhibit the following characteristics: 1) Involving wide-ranging or conflicting technical, engineering and other issues; 2) Having no obvious solution and require abstract thinking, originality in analysis to formulate suitable models; 3) Requiring investigative-based knowledge much of which is at, or informed by, the forefront of the professional discipline and which allows a fundamentals-based, first principles analytical approach; 4) Involving infrequently encountered issues; 5) Real-world problems encompassed by standards and codes of practice for professional engineering; 6) Involving diverse groups of stakeholders with widely varying needs; 7) Having significant consequences in a range of contexts; 8) High-level problems including many component parts or sub-problems. The candidate is expected to spend at least 150 hours working on the project.
EEE6209	Design for Energy Sustainability	Tseng King Jet/ Sivakumar	Electrical energy is a key part of daily business and life. Losses, heat generation, cooling, and energy efficiency are essential part of any electrical system. With the advances in research and development including new design of industry products, there is a trend towards loss reduction to enhance energy efficiency, to reduce cooling requirement, and resulting in energy saving. This module aims to provide the module participants with the basic knowledge of energy consumption in electrical form through real-time examples of various domestic and industrial applications. Concepts and mathematical explanation of the power losses, energy efficiency, life cycle costs, heat generation, thermal stability, and cooling will be introduced in this module. Adoption of new technologies and their operation for reduced power losses through design will be explained with some examples. This module will educate engineers on sustainable design towards improving energy efficiency.
EEE6211	Energy Measurement and Analysis	Tseng King Jet/ Rajasekar (EETC)	This graduate-level competency-based course, Energy Measurement and Analysis, provides a comprehensive overview of energy measurement techniques and analytical methods used to assess energy efficiency and consumption in various systems. The course will cover the fundamental principles of energy measurement, including instrumentation, data acquisition, and signal processing. Students will learn about different types of energy meters, sensors, and data loggers, and how to select and apply appropriate technologies for specific applications. Advanced analytical techniques, such as statistical analysis, regression modeling, and optimization algorithms, will be explored to interpret energy data and identify opportunities for energy savings. Case studies and practical exercises will be incorporated throughout the course to enhance understanding and develop practical skills in energy analysis. This course is ideal for students pursuing careers in energy management, sustainability, and related fields.
EEE6213	Integrated Project in Energy Efficiency	Tseng King Jet	This module is an independent and individual project to be undertaken in conjunction with the coursework modules of the Module Group/Graduate Certificate in Electrical Energy Efficiency and Sustainability. The candidate is expected to demonstrate knowledge and understanding of the engineering and management principles and economic decision-making and applying these to the investigative-based solutions of Complex Problems in energy assessment and enhancement of energy efficiency of an engineering system. Complex engineering problems cannot be resolved without in-depth engineering knowledge and would have some or all of the following characteristics: 1) Involving wide-ranging or conflicting technical, engineering and other issues; 2) Having no obvious solution and require abstract thinking, originality in analysis to formulate suitable models; 3) Requiring investigative-based knowledge much of which is at, or informed by, the forefront of the professional discipline and which allows a fundamentals-based, first principles analytical approach; 4) Involving infrequently encountered issues; 5) Real-world problems encompassed by standards and codes of practice for professional engineering; 6) Involving diverse groups of stakeholders with widely varying needs; 7) Having significant consequences in a range of contexts; 8) High-level problems including many component parts or sub-problems. The candidate is expected to spend at least 150 hours to work on the project of which the topic has to be approved by the project supervisor.
EEE6002	Power Electronic Conversion	Kenneth Sng	The module provides fundamentals & in-depth knowledge in power electronic components and converters. Topics are 1) Fundamentals/design of power semiconductor switches and passive devices; 2) Rectifiers, DC-DC converters & inverters; 3) Converter Control & Applications in Grid, & Advanced topologies (e.g. multi-level converters). Assignments involve analysis/design/ CAE tool usage of Components and Converters.
EEE6007	Analysis and Design of Electrical Machine Systems	Cao Shuyu	This course offers an in-depth study of the design, analysis, and control of electrical machine systems, covering induction, synchronous, and permanent magnet machines. It integrates theoretical concepts with practical simulation experience using advanced design and modeling tools. Students will use Ansys PExprt and Ansys Maxwell to analyze machine geometries, magnetic flux, torque, and loss characteristics under various winding configurations and structural designs. With PLECS circuit simulation, students will model machine dynamics, implement control strategies, and evaluate system performance in conjunction with power electronic converters. This course equips students with practical skills for careers in electrical machine design, control, and simulation. By the end of the course, students will be able to: 1) Design and model electrical machines using finite element methods, and understand key electromagnetic principles. 2) Simulate machine operation using PLECS, analyzing performance in terms of efficiency, torque, and stability. 3) Use industry-standard tools (Ansys EM, PLECS) to validate designs and support engineering decisions. 4) Integrate electrical machines into broader systems across automotive, renewable energy, and industrial applications.
EEE6008	Condition Monitoring in Power Engineering	Tseng King Jet	To provide the module participants with applied experience in monitoring the deterioration of major electrical systems equipment and assets, with an understanding of the failure mechanisms behind these deteriorations and with the competency to investigate and analyze the conditions and health status of these assets. With the number of aging assets in power generation and T&D growing and increasing installation of new type of assets such as solar photovoltaic, battery energy storage systems, and power electronic-based systems, there is growing need to improve the applied skills and competency of electrical engineering professionals in the area of smart and automated condition monitoring of these assets. The topics of this module shall be presented in three submodules through competency-based learning: 1) Condition Monitoring Technologies, applicable to rotating electrical machines, to high voltage equipment, and to new types of power assets. 2) Artificial Intelligence for Health Prognosis - owing to the advance in computational hardware facilities and software data analysis techniques, the in-depth understanding of various phenomena affecting asset operations has become feasible. 3) Partial Discharge-based Asset Management - by offering PD condition monitoring and predictive maintenance, components are maintained and replaced based on actual conditions rather than periodically.
EEE6003	Electrification for Transportation and Built Environment	Elsa Feng	This module is intended to provide module participants with the new knowledge and competency in modern electrification techniques and applications in built environment and land transportation. The contents of this module are delivered in two focused area: Advanced Electrification for Land Transportation – To reduce carbon footprint and pollution in the cities, the growth of electrified urban rail systems has been increasing tremendously in recent years. Advance railway electric power systems and electric propulsion are essential to the sustained growth and operation of urban railways. There is also very strong interest in various forms of electric vehicles and their charging infrastructure and alternative fuel supply. Emerging technologies such as electric vehicles will also be covered. Advanced Electrification for Built Environment - Distributed energy resources such as solar photovoltaic systems, tri-generation and energy storage systems are increasingly incorporated into urban electrification. There have also been many efforts made in achieving higher energy efficiency and demand management in urban electrification through advanced energy optimisation techniques. Data-driven solutions are increasingly value-adding to traditional control strategies.
EEE6006	Smart Grids and Cyber Security	Sivaneasan	This module aims to provide students with knowledge on the broad range of technologies, systems and processes for the digital transformation of the electricity grid covering generation, transmission, distribution and utilisation. Topics covered will provide a cross-disciplinary overview approach on the integrative strategies of information and communication technology (ICT) with power and energy systems necessary for the digitalization of the electricity grid. Students will also learn on the cyber security risk, requirements, and security architecture for smart grids.
EEE6001	Power Systems Analysis and Control	Dhivya Sampath	This module provides a comprehensive study of the principles and techniques used in the analysis and control of modern power systems. Students will gain both theoretical knowledge and practical skills to model, simulate, and evaluate system performance under a range of operating conditions. Key topics include the modelling and simulation of large power networks, where students learn techniques to represent the dynamic behavior of generation, transmission, and distribution systems using simulation tools for performance prediction; power flow analysis, focusing on computational methods for steady-state network analysis such as the Gauss-Seidel and Newton-Raphson methods; stability analysis, covering small-signal and transient stability to understand system responses to disturbances and strategies to maintain secure operation; and system control and operation, exploring real-time methods for frequency regulation, voltage control, and economic dispatch to ensure reliable and efficient performance. By the end of the module, students will be equipped with advanced analytical tools to understand, model, and control complex power systems, preparing them for careers in energy systems, utilities, and power engineering research.
EEE6005	Power Quality and Reliability	Tan Kuan Tak	This module provides students with an in-depth understanding of the causes and characteristics of power quality and reliability issues commonly encountered in electrical power networks, as well as their impacts on system performance. Students will examine the industrial technologies and methods used to mitigate such problems, gaining both theoretical insights and practical exposure. Delivered in a technology-enabled learning mode, the module incorporates industry-standard simulation software for power system analysis and operation. Key areas of study include the concepts of power quality and reliability, voltage fluctuations and variations, harmonic distortions, and techniques for improving system performance and reliability.