The aims of this module are for the students to practice an aspect of engineering in a simulated professional situation whereby they:

• Develop the ability to work individually.
• Apply knowledge gained in several subject areas in previous years.
• Exercise initiative, imagination and creativity.
• Gain experience in project planning, project implementation and communication of outcomes.
• Demonstrate one or more of the following: analysis and interpretation of data, numerical modelling, use of appropriate problem-solving approaches, use of industry-standard design processes.

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.

To equip students with the knowledge and practical skills necessary for data collection by designing and implementing instrumentation systems for test engineering, research and development (R&D), and the validation of simulations. The module expands on these themes to include feedback for the control of mechatronic systems, and how industrial machinery can actuate and interface with the physical world.

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.