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This module provides you with sound knowledge and command of fundamental engineering tools, principles and mathematical techniques with emphasis on engineering applications. You will gain an appropriate background in the fundamental principles of Mathematics, Mechanical Principles (Solid Mechanics), Electronic Principles and their uses by carrying out analytical calculations and laboratory experiments. The module contains the well-recognised elements of classical engineering mathematics which universally underpin the formation of the professional engineer. The module will concentrate on: (a) understanding mathematical concepts associated with engineering applications, and (b) applying mathematical skills and techniques to solve engineering problems.

This builds on the common basis established in Engineering Tools and Principles 2. The aim of this module is to provide you with a clear understanding of Mathematical and Engineering concepts. You will gain an appropriate background in the fundamental principles of Mathematics, Mechanical Principles (Dynamics), Electronic Principles and their uses by carrying out analytical calculations and laboratory experiments. The focus in this module is on practical applications, introducing multivariable functions and their derivatives, matrices, vectors and complex numbers. These building blocks are combined with material from Engineering Tools and Principles 1 to study differential equations. The module also covers uses of statistics and probability in the engineering domain.

This module includes two interlinked parts: 1) a practical part in which you will learn the key elements of engineering drawings and the design process and 2) where you will learn the numerical tools required for modern Mechanical Engineering Design in addition to the fundamentals of mechanical machines and the fundamentals of work and energy.

In the practical part, you will work as part of a team to develop a solution for a design challenge while tackling a range of issues to produce a cost-effective solution while considering the product life cycle. You will work to a timetable and budget while interacting with a range of personnel. You will also receive essential training on operating manufacturing machines and health and safety aspects.

The practical part is informed by the knowledge and skills the students gain in the tools part which include four overall topics: Computer Aided Engineering (CAE), Programming, Machines & Mechanisms and Thermodynamics.

In this module, you will develop an understanding of the fundamental aspects of biochemistry, cell biology and anatomy and physiology that underpin many aspects of bioengineering. You will be introduced to the key principles of Chemistry and Cell biology; basics of chemistry and biochemistry; cellular structure and function. Anatomy and Physiology, introduction to the structure and function of cells, tissues and physiological systems.

Clinical perspectives will allow you to gain experience in clinical measurements, monitor vital signs of patients, use of general clinical equipment and work with simulation mannequins. 

This module introduces the fundamental and distinctive aspects of computing, programming, and interfacing microcontrollers for practical applications, laying the foundation for embedded systems. Skills learned in this module will allow you to make use of various programming environments to solve real-world problems not limited to Python and Arduino IDE. Simultaneously, general principles and applications of Computer-Aided Engineering (CAE) will be provided.

You will learn to design circuit and the practical skills necessary for creating electronic circuits and systems for Biomedical applications.

You will develop a working knowledge of programming language such as ‘C’ as applied to low-resource embedded systems. The following concepts will be covered:

Introduction to C programming: Bits, bytes, binary numbers, program structure, and pre-processor directives; Expressions; Operators; Flow control; Functions; Header files; Pointers and arrays. Besides, an introduction to higher-level programming language will also be included.

This part of the module involves the design and development of electronic circuits and devices. General principles and applications of Computer-Aided Engineering (CAE) are illustrated using suitable software to design hardware for simple electronic circuits and create manufacturing files for printed circuit boards. This includes the use of Electronic Computer-Aided Design (ECAD) programs to design, simulate, and manufacture electronic systems, covering schematic entry and capture, simulation of simple electronic circuits, fundamentals of printed circuit board design, and generation of manufacturing files (Gerber).

You will apply the skills learned to design and build a practical biomedical instrumentation circuit and test it, involving problem-solving skills, circuit design and programming. You will also acquire the foundational and practical skills necessary for designing more complex biomedical instrumentation circuits and systems further on.

The first part of the module introduces you to modelling and analysis of dynamic systems through the investigation of the system response, with an emphasis on the free and forced oscillations. You will learn about the idea of modelling physical systems, characteristic equations, natural frequencies, and vibration modes. In addition, different system’s engineering applications will be discussed to develop further understanding of the solution of the resulting differential equations (e.g., vibration systems, DC motor, quadrotor, battery, etc.).

The second part of the module concerns instrumentation aspects of computer control systems. You will learn about principles of interfacing industrial processes with control computers and the instrumentation required for this purpose. The third part of the module introduces you to the theory of control systems and computer control. The aim is to teach analysis and design of single-input single-output continuous and digital feedback systems. The background theory is supported by computer aided design studies (using the MATLAB/Simulink package) and practical laboratory experiments.

Through an industrial-style design and prototyping project, the Embedded Systems and Interfacing module provides core skills in the application, design, and development of a complete embedded system to include both firmware and the component-level design of the necessary analog and digital interfacing subsystems allowing the embedded system to interface with common signals and networks.

An emphasis is placed on design right from the start; you are provided with an industrial style specification for an embedded system that is based on a telemetry application. This will require the design of analog and digital interfacing, microprocessor system design, firmware development and communication with IoT-style networks. This will involve revision of areas to include analog to digital converters, digital to analog converters, operational amplifier circuits, oscillators (including microprocessor clocking), power supplies and filters while introducing new techniques in the design and deployment of such circuits in the context of interfacing to real-world systems.

Projects need to deliver a design solution (e.g. a product), which require planning and initiation, and need to be budgeted, costed and scheduled and completed within these projections. Projects require management of stakeholder expectations and they need to be undertaken at an agreed level of quality within an accepted level of risk. Project management is the control of this disparate and multidisciplinary subject.

This module presents some of the background, theory and practice to enable learners to embed professional project management expertise in their professional and academic development. It concentrates on the wider role and expectations of the project manager than just scheduling and learners can expect to contribute to discussions ranging from the time value of money to anticipating how future sustainability pressures can influence a project now.

Throughout the process, you will also learn the standard of good engineering design solutions and practical skills to develop and demonstrate the discipline specific designs. The tailor-made practical sessions will allow the "discipline lead" to identify and raise awareness that the learner’s abilities and provide them "tools" to make an impact. This may also prepare the you for your discipline specific final year project.

This module is structured into three areas: 1) Healthcare-based technologies: this focuses on analytical and patient-centred applications of various techniques within biomedical and healthcare settings. Content coverage includes theoretical and practical considerations of various biomedical techniques in analytical chemistry. Patient-centred healthcare technologies will deal with equipment based primarily in clinical care, such as ventilators, patient monitors, anaesthesia equipment, diathermy, infusion devices, ECG monitors and defibrillators amongst others; 2) Medical equipment safety and its testing: this encompasses the critical aspects of safety and efficacy testing of medical equipment. You will be exposed to the importance of electrical safety testing in medical devices and regulations and gain hands-on experience. 3) Medical Devices Regulations Research Governance and Ethics: you will be introduced to core medical device regulatory frameworks, ethical considerations relating to medical devices, including the use of AI, and principles of research governance. Basic international standard in risk management of medical devices will also be covered in this module.

This module provides a comprehensive understanding of the principles and applications of biomedical imaging and image processing techniques. It elaborates the fundamental physical principles behind various imaging modalities, including X-ray, CT, MRI, ultrasound, and nuclear medicine, and introduces computational methods for processing and analysing biomedical images. The module aims to equip you with the knowledge and practical skills including image acquisition, reconstruction, and interpretation techniques, besides biomedical image processing and analysis, in order to apply them to clinical and research settings.

This module aims to introduce you to the interrelated topics of biomechanics, biomaterials, and tissue engineering. You will develop a critical understanding of how biomechanical principles, material science, and biological processes are combined in the design and development of medical devices and regenerative therapies.

You will learn about the anatomy and physiology of muscles, mechanics of movement and neuromuscular function as applied to a physical activity, such as cycling. As well as the complex interplay of muscle activity, joint kinematics, and body positioning during the activity, with a focus on both performance optimisation and rehabilitation. You will integrate knowledge of anatomy, kinematics, and engineering tools to assess and analyse the mechanics of the motion.

You will be introduced to materials and biomaterials, which covers fundamental concepts of materials and their mechanical properties, such as material defects, strengthening mechanisms, and heat treatments, with consideration of their impact on performance and biocompatibility for biomedical applications. Engineering materials including steels, aluminium and titanium alloys are examined alongside biomaterials used in implants and medical devices. The module also addresses material processing methods, modes of material failure and materials selection using software tools with attention to sustainability and biomedical application requirements.

You will undertake a substantial piece of independent research or product development focused on a topic relevant to their specific discipline. Topics may be drawn from various sources, including placement experiences, research groups, employers, or areas of personal interest (provided suitable supervision is available).

You will formulate and define research problems, conduct comprehensive literature reviews, develop and evaluate solutions, analyse information, design and implement hardware or software (as appropriate), and process and critically evaluate data. To support you in developing a project that demonstrates academic depth, practical/research skills, and communication skills, individual tutorial sessions will be provided.

This module is to enable you to understand and reflect upon the role of business in a rapidly changing, globalised world. It identifies opportunities and threats for industry arising from environmental policy, legislation and societal change, and explores how businesses respond to future environmental challenges.

This module benefits practitioners in industry, and future academics exploring the sustainability of engineering businesses. You will also learn self-direction, and originality in problem solving.

The research methods section will provide students with the skills to successfully complete a research project. You will gain an understanding about research of others, literature reviewing, research methodologies, data interpretation and analysis, research ethics, intellectual property and report writing. This will prepare you for your dissertation or research project.

This module aims to provide you with an in-depth understanding of the principles, technologies, and applications of brain-computer interfaces (BCIs). Starting from the neurophysiological foundations and brain anatomy, it covers various paradigms in BCIs, signal acquisition and processing methods, machine learning algorithms for brain signal interpretation, feedback systems, and assistive technologies. This module will also include the ethical and clinical implications of BCI technology and look at the emerging trends in the field.

This module introduces you to the interdisciplinary field of bioelectronics with a strong emphasis on its application in personalised medicine. It integrates principles from electronics, biomedical engineering, physiology, control theory and device design to enable students to develop practical, real-world healthcare solutions. The primary focus will be on the design and implementation of bio-transduction systems, data acquisition and closed-loop control systems, culminating in the development of a simplified biomedical instrument demonstrator to manage simulated physiological parameters. You will work progressively through signal acquisition (such as ECG, EEG, or glucose sensing), signal conditioning, data analysis, and control system implementation for appropriate personalised therapeutics. Throughout the module, project-based learning (PBL) methods will be employed to enable critical thinking, problem-solving skills, and practical competence. You will gain hands-on experience in electronics, sensors, and microcontrollers, developing practical solutions informed by healthcare needs. This module will address clinical motivations for personalised medicine and demonstrate the integration of bioelectronic devices into monitoring and therapeutic strategies. Key learning activities will include lab-based exercises, simulation, design-build activities, and a final project for evaluation. By the end of the module, you will develop a deeper appreciation for how biomedical signals can be sensed, processed, and used for therapeutic feedback control, achieving core skills vital to future careers in biomedical engineering and medical technology innovation.

In the era of data-driven healthcare, this module equips you with the interdisciplinary knowledge to process, analyse, and interpret biomedical data using artificial intelligence (AI) and machine learning (ML). The module explores data acquisition, visualisation, preprocessing, medical imaging, genomic data analytics, and the application of modern AI techniques including deep learning in healthcare. This module will also introduce natural language processing for clinical text, predictive analytics in healthcare and data security, privacy and ethical considerations. Emphasis is placed on ethical AI, explainability, and compliance with medical data regulations (e.g., GDPR, HIPAA).

This module explores the principles and practices in modern healthcare IT infrastructure and security. It provides a comprehensive overview of how digital systems are designed, interconnected, and protected within clinical environments. Core topics include networked medical device integration, health information exchange, access control, encryption, and cybersecurity standards relevant to healthcare settings. This module also examines the role of centralised monitoring platforms, the integration of Internet of Things (IoT) devices for patient tracking and diagnostics, cloud computing and secure communication protocols. Core IT concepts such as IP networking, Linux fundamentals, and Active Directory (including Group Policy Objects) will be introduced to support effective collaboration between biomedical engineers and IT professionals. Emphasis is placed on further understanding regulatory frameworks such as GDPR and medical device security standards, alongside ethical considerations in the management and protection of patient health data. Key themes such as system interoperability, risk management, threat mitigation, and governance are studied in the context of clinical reliability and patient safety. The module provides foundational knowledge for designing secure, scalable, and compliant IT systems for diverse healthcare applications.

This module has been designed to provide you an opportunity to work on an engineering project as a multidisciplinary team, similar to industry.

This module has been specifically designed to expose you to the multidisciplinary and team nature of many engineering projects, helping to highlight individual strengths and weaknesses, which may help the individual in selecting a pathway to an engineering career. It will also help to prepare you for being responsible for quality of their output, in particular conforming to required protocols, and managing technical uncertainty. The selected engineering project will give an opportunity for engineering students to learn and practise engineering design as well as key skills. The engineering design and practise will include design using appropriate technical information and engineering knowledge, problem solving, application and development of mathematical and computer models, the understanding and selection of components & materials, the necessary workshop and laboratories techniques. The key skill aspect will include understanding and practising project manage, leadership, risk management applied to a technical project that could involve communication of ideas within a team and wider (potentially international) audience, as well as the social and environmental aspects.

Each group/team will have an academic assigned; and where possible an industrial mentor will also be assigned.