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.

The aim of this module is to provide students with an introduction to the key characteristics of renewable energy systems, from renewable energy generation technologies (such as wind, solar, biomass, etc) through to storage/flexibility, distribution and consequences for end use. Key challenges around achieving 'Net-Zero' targets are also introduced, including the basic technical, economic and policy challenges related to decarbonisation of transport and heat in buildings.

The aim of the module is to provide students with the knowledge in computer networks and security fundamentals including the network infrastructure, protocols, data confidentiality, integrity, availability and trust.

The aim of the module is to gain knowledge and experience of real-time embedded software design and implementation.

The aims of this module are to:

• Introduce the fundamentals of bioelectricity and biophotonics at molecular, cellular and tissue levels.
• Explore engineering principles underpinning selected biomedical applications.

The aim of the module is to introduce students to the operational concepts and applications of a range of power electronic converters.

The aim of this module is to develop the theory and practice of security challenges and technologies for embedded systems in an engineering context.

The aim of this module is to develop the theory and practice of deploying machine learning (ML) inference models in resource-constrained IoT devices.

The aims of this module are to:

• Provide a foundation for the analysis of microwave transmission in free space and representative transmission line systems.
• Introduce the theory underlying antenna systems.
• Develop an understanding of the functions and interactions of high frequency transmission line circuits and components.
• Introduce techniques for analysis of high frequency circuits and systems.
• Introduce techniques for the measurement of high frequency circuits used in communications systems.

The aim of this module is to teach students the use of Linux Server Operating Systems, toolchains (e.g., Mentor Graphics) and methodologies commonly used in digital and electronic computing system design targeting Field Programmable Gate Arrays and Systems-on-Programmable-Chips (SoPCs) domains.