This subject introduces the core elements of a smart manufacturing system where real-time manufacturing data enables flexibility and increase productivity. An introduction to advanced manufacturing and key enabling technologies such as Radio Frequency Identification (RFID) systems, Manufacturing Executions Systems (MES) and Augmented Reality (AR) are used to lay the foundation for understanding the application and benefits of smart manufacturing. 

Additive Manufacturing, also commonly known as 3D Printing, is becoming an important manufacturing technique in advanced manufacturing that complements existing manufacturing processes.

In this subject, the main topics covered include principles and development of Additive Manufacturing, design guidelines for Additive Manufacturing (ISO/ASTM 52911-2), design of support structures, generalized process chain, process selection guidelines, pre-processing software, post-processing methods and laser-based powder bed.

This subject covers factory automation systems that are the foundation for advanced manufacturing systems. It provides the essential concepts and background on industrial automation, robotics and their applications, as well as their integration into a complete manufacturing system. You will also learn the working principles and applications of automation equipment and how to automate production processes to achieve quality and high productivity. Both hardware and software links between the main factory automation components are introduced.

This subject provides the fundamentals of automation in a manufacturing environment. Four main topics are covered; namely pneumatics, electro-pneumatics, programmable logic controllers and an introduction to advanced manufacturing. Essential knowledge of the working principles and applications of automation equipment are covered, followed by an overview of how to automate production processes to achieve quality and high productivity. You will also be introduced to the concept of smart automation and the key concepts of advanced manufacturing.

This subject covers the technical skillsets required for applying machine learning algorithms and deploying Artificial Intelligence (AI) models onto edge computing devices. It provides the essential concepts and background on data analytics, supervised and unsupervised machine learning models, the process of optimization and their applications in advanced manufacturing.

This subject provides the essential concepts and skills needed for implementing digital transformation in smart manufacturing plants. It covers the application of industrial software platforms to wirelessly interconnect sensors, Internet of Things (IoT) devices and equipment. The students will learn to develop dashboard for acquiring, analyzing and displaying data that is commonly found in Advanced Manufacturing. Modern approaches in activation of hardware and software responses when interventions are required for process improvement or corrective actions are also covered in detail.

This subject introduces the concepts of web application development. Topics covered include web page design, front-end and back-end web development and web deployment.

This subject covers graphing fundamentals, graphing properties and building dashboards for reporting purposes using relevant statistical modelling and analysis techniques. Topics covered include the preparation of reports and dashboards following data analysis to support managerial decision-making.

This subject introduces the security and privacy issues involved in the implementation of Internet of Things (IoT) applications and services. Topics covered include cryptography, capability, access-control mechanisms, authentication models and privacy support through data abstraction, integration and data synchronisation.