Biomedical Engineering with Industrial Studies (MEng)

This module introduces and develops the knowledge in fundamental electromagnetics for second year Electrical and Electronic Engineering students. The course presents the basic concepts of electromagnetic theory from a physical and application points of vi...

This module introduces powerful tools for analysis and control of linear continuous-time systems. It then shows students how they can be applied to a wide range of physiological processes, providing a full understanding of the human body and the internal ...

The module aims to provide a detailed understanding of the representation and analysis of dynamic systems, and their solution. It goes on to apply this to simple circuit problems as well as to mechanical systems. Vibration problems in mechanical systems a...

In this module you will work as a team to develop a home-based platform for non-invasive health and wellness monitoring that could be deployed for rehabilitation purpose, particularly for Stroke patients. This module includes design assignments that have ...

The aims of this module are to: - Give students a solid grounding in mathematical methods and ideas in areas relevant to applications in engineering: Fourier series, Fourier transforms, eigenvalues, eigenvectors and eigenfunctions, linear ordinary differ...

This module will introduce the concepts of semiconductor materials, devices and sensors. You will develop a detailed understanding of the design, operating mechanisms and fabrication technology of semiconductor, electronic and optoelectronic devices and ...

This module aims to give students experience of working in a team, and of the problems of communication and scale in software engineering. It will consolidate and integrate the techniques and concepts introduced in earlier courses (principally COMP1216 So...

Simple linear regression is developed for one explanatory variable using the principle of least squares. The extension to two explanatory variables raises the issue of whether both variables are needed for a well-fitting model, or whether one is sufficien...

This module builds on the first year Data Management module to give students a deeper and broader view of the issues involved in database management systems, some of the most complex software in common use.

Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions. Exclusions...

This module will provide an insight into the engineering based problems faced in orthopaedic biomechanics, through a detailed study of intact lower limb and the lower limb pre- and post- total joint replacement. You will gain an understanding of the struc...

This module conveys the concept of neuroscience as an integrative discipline by providing a description of mammalian nervous system function from molecular aspects of synaptic signalling to information integration and system level processing.

Robots are becoming more widely used in society, with applications ranging from agriculture through to manufacturing, with increasing interest in autonomous systems. This module will introduce students to the fundamentals of robotic systems including k...

This module builds on the first year Data Management module to give students a deeper and broader view of the issues involved in database management systems, some of the most complex software in common use.

Partial Differential Equations (PDEs) occur frequently in many areas of mathematics. This module extends earlier work on PDEs by presenting a variety of more advanced solution techniques together with some of the underlying theory.

Large-scale approaches at the molecular, cellular, organismal and ecological level are revolutionizing biology by enabling systems-level questions to be addressed. In many cases, these approaches are driven by technologies that allow the components of bio...

A biomaterial can be described as a material used in a biomedical device intended to interact with biological systems. The selection of an appropriate biomaterial is critical to the performance of an implant. For a hip replacement, properties such as good...

During the first two years of the degree students gain experience in a variety of 'traditional' programming languages in procedural, functional and object-oriented flavours. This module addresses the design and use of scripting languages for a contemporar...

Do you want to find out how stem cells are being used to help treat disease and allow us to live better, for longer? And are you interested in the controversy surrounding them? Do you want to find out what tissue engineering is, and how scientists are ...

The global health module is an exciting opportunity to examine the factors associated with emerging and re-emerging infectious diseases such as the recent outbreak of Ebola and Swine Flu that quickly spread around the world, and non-communicable diseases ...

Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions. Exclusions...

This module manufacturing and materials is intended to develop a deeper understanding of the relationship between design, manufacturing processing and materials properties. This module discusses various manufacturing methods including casting, forming, we...

The module provides an overview of relevant topics in mechanical power transmission and methodology of vibration analysis for such mechanical assemblies. The main objective of the module is to learn methods of analysis and design of machines and their ...

This module gives students an introduction to natural language processing (NLP) algorithms and an understanding of how to implement NLP applications.

The module introduces the operational research approach for modelling and solving engineering and management problems.

This module will provide an insight into the engineering based problems faced in orthopaedic biomechanics, through a detailed study of intact lower limb and the lower limb pre- and post- total joint replacement. You will gain an understanding of the struc...

Robots are becoming more widely used in society, with applications ranging from agriculture through to manufacturing, with increasing interest in autonomous systems. This module will introduce students to the fundamentals of robotic systems including k...

The course requires to understand C code, assembly language, x86 architectures and memory allocation (a refresher will be provided).

Signal processing is an essential part of human life and of modern industrial systems. As humans we see and hear and process signals. This is the same in electronic systems: we sense and then process signals. We need to be able to understand these signals...

The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine...

Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with l...

This module provides an introduction to intensive group project work in collaboration with an industrial or academic customer. Students work in groups of at least four people on a project typically based on an idea from an industrial partner, or from an a...

This Industrial Studies module is part of our MEng and MComp programmes with “Industrial Studies” in the title. It allows students to go on to a 1 year placement in industry in either Part 3 or Part 4 of their programme. It is a great way to give our stud...

This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application. The theoretical content is focussed in a number of key themes wi...

The aim of this module is to provide an overview of a range of biomolecular, microscale and nanoscale systems and devices, including sensors. The module consists of practical work on three different systems, involving construction and characterisation wit...

This module lies at the intersection of robotics and biology. Through the abstraction of design principles from biological systems, it is possible to develop a range of core competences, including mechatronic systems, sensor and actuator technologies. By ...

Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with l...

The last decade and a half have seen the Web move away from a purely document-centric information system to one in which hypertext techniques are applied to the sort of data found in databases; the term “Semantic Web” is used to refer to this Web of linke...

This module presents a broad overview of microsensor technologies, including the basic principles of measurement systems and the scaling effects arising from system miniaturisation. The practical component, assessed by a Lab Report, involves the design an...

More and more people are using increasingly powerful mobile devices as their primary means of obtaining information and requesting services over the Internet. The shift from traditional personal computers (desktops and laptops) to mobile devices (Smart ph...

This module gives students an introduction to natural language processing (NLP) algorithms and an understanding of how to implement NLP applications.

Often in mathematics, it is possible to prove the existence of a solution to a given problem, but it is not possible to "find it". For example, there are general theorems to prove the existence and uniqueness of an initial value problem for an ordinary di...

Open data, pitched as the raw material of the new industrial revolution, holds great promise, but how do you exploit this new resource? This course is specifically designed to give students a greater understanding on how to innovate with open data. This ...

Simulation modelling plays an increasingly significant role across modern science and engineering, with the development of computational models becoming established practice in industry, consulting, and policy formulation. Computer scientists are often em...

The aims of the module are: - To provide students with the opportunity to improve their understanding of web application development, and cloud computing systems. - To cover important techniques and issues in designing and building a modern web applicat...

This course is intended to give students an outline of how wireless communication and computer networks work "above the physical layer". This includes the interoperability of wireless networks such as WiMax/GPRS and WiFi to provide WiFi on trains etc. How...

The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine...

Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with l...

This module provides an introduction to intensive group project work in collaboration with an industrial or academic customer. Students work in groups of at least four people on a project typically based on an idea from an industrial partner, or from an a...

This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application. The theoretical content is focussed in a number of key themes wi...

The aim of this module is to provide an overview of a range of biomolecular, microscale and nanoscale systems and devices, including sensors. The module consists of practical work on three different systems, involving construction and characterisation wit...

This module lies at the intersection of robotics and biology. Through the abstraction of design principles from biological systems, it is possible to develop a range of core competences, including mechatronic systems, sensor and actuator technologies. By ...

Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with l...

The last decade and a half have seen the Web move away from a purely document-centric information system to one in which hypertext techniques are applied to the sort of data found in databases; the term “Semantic Web” is used to refer to this Web of linke...

This module presents a broad overview of microsensor technologies, including the basic principles of measurement systems and the scaling effects arising from system miniaturisation. The practical component, assessed by a Lab Report, involves the design an...

More and more people are using increasingly powerful mobile devices as their primary means of obtaining information and requesting services over the Internet. The shift from traditional personal computers (desktops and laptops) to mobile devices (Smart ph...

This module gives students an introduction to natural language processing (NLP) algorithms and an understanding of how to implement NLP applications.

Often in mathematics, it is possible to prove the existence of a solution to a given problem, but it is not possible to "find it". For example, there are general theorems to prove the existence and uniqueness of an initial value problem for an ordinary di...

Open data, pitched as the raw material of the new industrial revolution, holds great promise, but how do you exploit this new resource? This course is specifically designed to give students a greater understanding on how to innovate with open data. This ...

Simulation modelling plays an increasingly significant role across modern science and engineering, with the development of computational models becoming established practice in industry, consulting, and policy formulation. Computer scientists are often em...

The aims of the module are: - To provide students with the opportunity to improve their understanding of web application development, and cloud computing systems. - To cover important techniques and issues in designing and building a modern web applicat...

This course is intended to give students an outline of how wireless communication and computer networks work "above the physical layer". This includes the interoperability of wireless networks such as WiMax/GPRS and WiFi to provide WiFi on trains etc. How...