About Course
To provide module participants with in-depth knowledge of the characteristics and models of various types of electrical machines, of the operation and control of these machines as generators and motors, and the ability to design the machines and their control systems.
The importance of rotating electrical machines as energy converters is ever growing, not just in large electric power plants but also in smaller distributed generators driven by gas, hydro and wind turbines. They are also increasingly used for electric propulsion in electric and hybrid-electric vehicles and marine vessels, besides electric railways.
The topics are grouped into three areas:
- Modelling and analysis of electrical machines
- Design of electrical machines
- Control systems for electrical machines as motors and generators
Skills you’ll gain
Power and Clean Energy
Electrical Engineering
Sustainability
Who Should Attend
Engineers working in the power and energy sector
IT professionals in any power and energy-related businesses
Electrical and electronic engineering professionals
Researchers and educators in electrical engineering and urban sustainability-related areas
Prerequisites
- Bachelor degree in Engineering
- At least one-year of relevant working experience
Learning Outcomes
Upon successful completion of the course, learners will be able to:
- Analyse Cyber Security Threats in Smart Grids - Identify and evaluate attack vectors, threat motivations, vulnerabilities, and privacy risks associated with smart grid and industrial control system environments
- Apply Cyber Security Frameworks and Standards - Interpret and apply relevant smart grid and ICS security standards and frameworks including NISTIR 7628, IEEE 2030, IEEE 1547, ISA‑62443, EU M/490, and SGCG
- Design Security Controls for Smart Grid Systems - Develop and justify security controls for smart grid endpoints, SCADA systems, data flows, and applications, including zoning, boundary protection, and situational awareness
- Assess Privacy and Data Protection Risks - Conduct privacy impact assessments and evaluate personal data risks arising from advanced metering, monitoring, and communication infrastructures
- Evaluate Real‑World Cyber Security Incidents and Defences - Critically analyse case studies of cyber attacks and countermeasures in smart grid and energy supply chains to inform future security strategies
- Analyse Integration and Interoperability of Distributed Energy Resources - Evaluate technical and regulatory requirements for interconnection, interoperability, ride‑through performance, islanding operation, and power quality in DER‑rich power systems
- Apply Monitoring, Communication, and Control Concepts - Analyse sensing, communication architectures, and information exchange mechanisms supporting demand response, distribution automation, and wide‑area monitoring
- Apply Intelligence and Data‑Driven Methods in Smart Grids - Explain and apply principles of machine intelligence, distributed computation, machine‑to‑machine communication, and networked control in smart grid applications
- Analyse Grid State Estimation and Stability - Evaluate system monitoring and stability using state estimation techniques, phasor measurement units, and synchrophasor‑based applications
- Demonstrate Systems Thinking and Professional Practice - Integrate cyber security, power systems, communication
Teaching Team
Cao Shuyu
Lead Professional Officer, Singapore Institute of Technology
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Course Details
| Course Run | Dates | Time |
|---|---|---|
| May 2026 | 4 May – 27 July 2026 (Every Monday*) | 7:00 pm - 10:00 pm |
Certificate and Assessment
A Certificate of Attainment will be issued to participants who
- Attend at least 75% of the module; and
- Undertake and pass credit-bearing assessment during the module; and
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Fee Structure
The full fee for this course is S$3,606.88.
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$1,082.06 |
| Singapore Citizen (Above 40) Funded under SkillsFuture Mid-Career Enhanced Subsidy (MCES) | 90% | S$420.25 |
| Singapore PR / LTVP+ Holder | 70% | S$1,082.06 |
| Non-Singapore Citizen | Not Eligible | S$3,606.88 |
Note:
- All fees above include GST. GST applies to individuals and Singapore-registered companies.
For Organisations
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