More information to follow.

More information to follow.

The aim of the module is to enable students to understand the financial, legal and quality management principles that apply to the operational management of engineering organisations.

The aim of this module are to explore the concepts of advanced systems methods and systems integration and improve the students' confidence and ability to identify, select and apply an appropriate combination of systems methods, tools and processes to tackle systems problems in a group case study, focusing on a system problem requiring innovation and creativity in the design approach.

The aim of the module is for students to gain an understanding of the emerging trends in digitalisation in manufacturing systems and its main core technologies, including Industry 4.0, Smart Factories, Virtual Engineering and Discrete Event Simulation.

The aim of the module is to provide the students with an understanding of advanced considerations related to control engineering and control implementation via computers.

The aim of this module is for students to develop a multidisciplinary knowledge and understanding of recent emerging technologies that can aid with improving health and wellbeing. This is inclusive of clinical devices to active lifestyle aids, and the module will cover topics including how they are developed, how they can be applied, and how to utilise them in research and practice.

The aim of the module is to provide the students with an understanding of advanced considerations related to control engineering and control implementation via computers.

The overall aim of this module is to explore the requirements, challenges and tools for the integration and control of complex, automated manufacturing systems.

The aim of the module is to introduce the student to modern digital image processing methods for image capture, enhancement, segmentation, analysis and machine vision for use in industrial applications.