Diploma in Engineering (Electrical and Electronics)

Digital Electronics

This module equips participants with knowledge of digital electronics by exploring the basic building blocks of combinational digital electronic circuits. Participants will learn about number systems, basic logic gates, Boolean algebra, design techniques for combinational logic circuits, decoders, encoders, multiplexers, and demultiplexers, as well as integrated circuit logic families such as TTL and CMOS. Participants will also learn the characteristics of basic latches and flip-flops and their use in combination with sequential circuit operation.

Digital Systems

This module is an extension to Digital Electronics and provides exposure to more complex digital circuit design concepts and techniques. Participants will be introduced to high-level design methodology for digital circuits using Hardware Description Language (HDL). Participants will also learn about interfacing digital circuits to the real world using Digital-to-Analogue, Analogue-to-Digital converters and memory devices.

Microcontroller Systems

This module teaches participants about the input/output ports, memory architecture, flow charts, LCD controlling, Pulse Width Modulation, and event polling. Participants will also learn interesting topics related to interrupts, such as external interrupts, timers and timer interrupts, Analogue-to-Digital conversion and ADC interrupts, high and low priority interrupts, match output comparison with interrupts and serial communication.

Principles of Electrical and Electronic Engineering

This module equips participants with the necessary foundation for electrical circuit analysis. Participants will learn to apply techniques in analysing basic elements (resistors, capacitors and inductors) with Direct Current (DC) and Alternating Current (AC) power sources. Participants will also learn concepts of electromagnetism and its application in power generation, transformer and motor operation.

Circuit Analysis and Control

The module equips participants with knowledge of circuit analysis and control. Participants will learn differential equations and learn how to apply them to analyse circuits. Participants will also get to learn basic principles of control, such as stability of control systems, time/frequency response and controller design.

Electronic Design and Development

This module equips participants with the necessary knowledge and skill sets to handle projects that start from front-end prototyping to the final realisation of the product. The front-end work involves different prototyping platforms to set up the circuit and basic laboratory equipment, such as a digital multimeter, oscilloscope, and function generator, to test and verify the circuit performance.

Communication Systems

This module is an introduction to the topics relevant to both analogue and digital communication systems. Topics include modulation techniques (AM/FM), tuned radio frequency receiver, electromagnetic wave propagation, antennas, digital sampling, multiplexing, digital modulation (PSK), source coding, channel coding and bit-error analysis.

Data Communications

This module equips participants with a working knowledge of current networking technologies in the industry. Participants will learn the principles and techniques of networking and communications, including physical cabling, network topologies, communication protocols and IP addressing. Participants will learn to design, plan, install network equipment (switches, routers, wireless access points) and operate small to medium-sized computer networks. within the urban environment, including compliance with regulatory frameworks and relevant authorities

Mobile Communications

This module aims to equip participants with a thorough understanding of Radio Access Networks (RAN) in mobile technologies. Participants will explore the principles of wireless communications, such as fading, link budget and capacity planning, and advanced diversity combining techniques like Multiple Input Multiple Output (MIMO). Furthermore, they will learn how to design in-building cellular networks and perform walk tests to assess signal coverage and quality.

Computer Programming

This module introduces students to the basics of computer programming and problem-solving processes. The module focuses on good programming practices, programming concepts and structured programming. Topics to be covered include program development/coding/debugging, data types, operators, expressions, control flow (such as conditional statements, loops), functions, data structures, and file access.

Electronic Devices and Circuits

This module equips participants with theory and practical knowledge of electronic devices such as diodes, Bipolar Junction Transistors (BJT), various types of Field Effect Transistors (FET), and their applications in electrical and electronic circuits. It also focuses on the fundamentals of operational amplifiers and their applications. Students will develop essential hands-on skills in circuit prototyping, troubleshooting and testing in practical laboratory sessions. The curriculum is designed to include extensive use of circuit simulation software tools, which will help reinforce the knowledge of circuit theories learnt in lessons.

Data Acquisition and Sensors

This module equips participants with the knowledge to design and implement basic data acquisition systems that are commonly found in the automation, pharmaceutical, petrochemical, and food processing industries. Participants will learn commonly used sensors in the industry. Participants will also understand the importance of using a computer/PLC (Programmable Logic Controller) as a central processing unit to make sense of collected data from sensors.

Fundamentals of Industrial Internet of Things

This module focuses on key aspects of the Industrial Internet of Things (IIoT) and its applications, including trends in digitalisation, network architecture, and communication systems. Topics covered include the components of IIoT physical systems, such as programmable logic controllers, smart sensors, edge controllers, and cloud storage, as well as the role of robotics and automation in various industries. Students will explore real-world applications of Artificial Intelligence and analyse IIoT needs through case studies. Additionally, they will design digitalisation solutions with IIoT at the core. The module builds on students' prior knowledge of Engineering Design and Mathematics to provide a foundational understanding of IIoT for further study.

Artificial Intelligence in Engineering

This module aims to equip students with an understanding of artificial intelligence (AI) and its relevance to engineering applications. It will cover the theory and application process of AI methods, machine learning and deep learning techniques, and AI ethics. Commonly used machine learning algorithms and deep learning models will be introduced to students with engineering use cases. Students will build their understanding of AI methods and tools using AI models in engineering systems. The evolution and the latest development of AI will be introduced to support students in exploring further.

Data Visualisation and Analysis for Engineering

This module covers key aspects of data analysis and visualisation, focusing on descriptive and diagnostic analysis to interpret data trends and uncover causes, applying statistical measures to support decision-making. It emphasises mastering Excel functions and pivot tables for data manipulation and summarisation, alongside creating pivot charts for effective visualisation. Additionally, it explores the use of Power BI to transform data, build relationships, apply DAX formulas, and create interactive dashboards that communicate insights and guide informed decision-making.

Wafer fabrication and Packaging

This module introduces the making of semiconductor devices used in consumer electronics. Participants will learn the technologies and processes of Integrated Circuit (IC) fabrication and packaging, and appreciate the extensive effort which goes into the making of an IC chip. The module begins with the processing of the raw material, such as sand, which will go through the various wafer fabrication, process integration, and packaging techniques to form the final product.

Thin Film Technology

This module allows participants to develop a good understanding of the thin film technologies that have been widely used in the semiconductor industry. It covers the properties of different thin film materials as well as growth and fabrication methodology. Participants will be equipped with practical skillsets which include fundamental vacuum principles and requirements for thin film deposition, physical vapour deposition and chemical vapour deposition.

Measurement Techniques and Failure Analysis

This module covers the basic principles and techniques employed in semiconductor characterisation and failure analysis. Participants will learn to decide on the choice of measurement and imaging techniques, depending on the application. It covers optical microscopy, electron microscopy and fault localisation.