This advanced module is specifically designed to expand your research skills by engaging you in high-level scientific inquiry and complex problem-solving. You are expected to apply rigorous scientific methods and in-depth physics knowledge to address difficult open-ended problems with the aim of producing outcomes that could be worthy of publication.

Throughout this intensive project, you will be encouraged to deeply investigate a specialised area of physics that aligns with your knowledge, interests and academic goals. This will involve not only applying your specific expertise in particular areas of physics, but also pushing the boundaries of these fields to create innovative and original research outputs.

The goal of this Master's level project is to develop and practice a wide array of advanced skills, including:

• The ability to plan and execute a comprehensive and extended research project that could contribute new insights to the field.
• Proficiency in reviewing scientific literature to frame your research within the context of existing knowledge.
• Skills in critical analysis, allowing you to evaluate your results and those of others to understand the implications of your findings.
• Competence in scientific communication, enabling you to articulate complex ideas clearly and effectively, potentially preparing your work for publication.

By the end of this module, you should have not only enhanced your practical understanding of applying general principles in real-world scenarios, but have the opportunity to produce research that meets the rigorous standards of academic journals, thereby setting a strong foundation for your future career in academia or industry.

The aim of the module is to develop critical understanding of the fundamentals of digital signal processing, as applied to numerous and common-place digital systems, with the use of computer simulation based tools.

The aims of this module are to:

• Provide an understanding of advanced electronic engineering applications.
• Provide insight into practicalities of advanced sensor systems in real world applications using underwater acoustics applications as a case study.

This module aims to provide knowledge and understanding of the electrical engineering associated with renewable-energy systems, and particularly the integration of renewable-energy systems into existing electrical power systems. It is primarily intended to equip designers rather than installers. The module presents internationally applicable principles rather than country-specific regulations and practices.

The core aim of this module is to ensure students are able to take advantage of Machine Learning (ML) techniques to solve practical engineering problems. Towards that end the following aims are established:

• Provide a base understanding of Machine Learning (ML) in the wider context of Artificial Intelligence (AI).
• Establish ML approaches and algorithms.
• Explore ML techniques in practical engineering contexts.
• Establish the challenges with ML in engineering.
• Deliver ML solutions in engineering, ensuring proficient use of essential tools for practical applications.

The aims of this module are to:

• Provide a comprehensive introduction to antennas and their functioning.
• Provide practical experience in design and measurement of antennas.

The aim of this module is to introduce the facts governing the nature, availability and characteristics of the solar resources and the fundamental concepts of photovoltaics and solar thermal conversion. The conversion technologies are examined critically in terms of design, efficiency, manufacturing options and costs.

The aim of this module is to introduce wind energy and the fundamental concepts of wind turbine design including aerodynamics, structure and control. The economic, technical, institutional and environmental aspects of onshore and offshore wind farm development are also considered.

The aims of this module are:

• To provide critical overview of statistical methods and machine learning required for analysing data.
• To develop a systematic and practical understanding of regression and classification analysis.

More information to follow.

The aims of this module are to:

• To present studies on a deep understanding of the specific digital communication technologies critical to IoT systems.
• To explore the application, strengths, and limitations of various digital communication technologies in IoT.
• To develop practical skills in designing IoT communication systems using current technologies and protocols.

More information to follow.

The aims of the module are to:

• Develop an understanding of the principles associated with the modelling of properties of materials at different length and timescale.
• Develop the ability to judge the strengths and limitations of different modelling techniques.

To allow students to develop an understanding and knowledge of the latest developments in nanomaterials and composites including preparation, processing and properties, and to highlight the use of advanced nanomaterials and composites for various applications.

The aim of the module is to:

• Appraise types and properties of materials that can be (i) used for biomedical applications, (ii) derived from renewable sources, (iii) degraded in biological environments.
• Analyse how material composition and micro/nanostructure influence biological environments and degradation processes.
• Assess the design and development of materials of biological relevance and/or from renewable sources.
• Understand different techniques for biomaterials characterisations.

The aims of this module are to:

• Provide a broad knowledge of the principles of the processing of a range of materials.
• Provide in-depth knowledge and skills in specific advanced processing methods.
• Provide students awareness of environmental and societal impact of advanced processing methods.

More information to follow.

The aim of this module is to provide a fundamental understanding of the theory of hydrodynamic lubrication and classical Hertzian contact theory. An introduction is made to the mechanism of elastohydrodynamic lubrication. Important aspects of bio-tribology and nano-tribology are also briefly described.

The aims of this module are to:

• Introduce students to digital twins, its applications, challenges and future directions.
• Introduce students to the role of engineering dynamics in the design of digital twins.
• Teach the fundamental principles and methods to tackle engineering problems where dynamics play an important role.
• Teach students the use of numerical tools as an engineering design means.
• Teach students how to employ dynamics for the design and update of digital twins based on a practical example.

The module will introduce and develop the concepts of Reverse Engineering (RE) and further investigate the concept of Additive Manufacturing (AM), emphasising the complexities of such manufacturing methods.

Non-contacting optical metrology is used to measure and monitor the performance of mechanical components ranging from microscopic parts to buildings and aerospace structures. The aim of this module is to equip students with an up-to-date understanding of optical metrology and its application in digital engineering.

The aims of this module are for students:

• To understand the options available and the issues related to selection of sensors and actuators for the design and control of mechatronic systems.
• To design, model and specify a complex fault tolerant mechatronic and control system.

This module aims to give students:

• Practical knowledge of systems from a model based and architectural viewpoint.
• An understanding of system and enterprise architecture frameworks.
• Knowledge of and practice with software modelling languages, methods, and commercially available tools.
• An introduction to model driven architecture and analysis. The students will learn a system definition and architecture design process aligned to ISO/IEC 15288 and how to model the architecture of a system and use it to assess system functionality and behaviour.

The aims of this module are to give students:

• Practical knowledge of verification and validation (V&V) for testing and acceptance of systems from a systems and model based viewpoint.
• Understanding of the relation between design and V&V with the objective of concurrent V&V and design of robust systems.
• An introduction to software in the loop testing.
• An introduction to and practice with systems modelling languages and methods using commercially available tools. Students will learn V&V procedures and tests aligned to ISO/IEC 15288 and IEEE 1516 from a systems and model based viewpoint and how to use V&V to influence system design and analysis.