Electronic Engineering with Artificial Intelligence (MEng)

To develop knowledge of the analysis of linear continuous-time systems. To introduce the basic analysis and design tools for electronic system control and communications engineering. To provide a comprehensive foundation for Part III/IV signal processing,...

This module is taught by a combination of lectures, laboratory exercises and a design assignment. You will gain practical knowledge of digital system design and of digital signal processing in the context of modern systems. The design exercise is inten...

The course presents the principles and applications of electromagnetic theory with examples in high-speed electronics, communications and electromagnetic compatibility, and provides an introduction to photonic engineering. It covers the underlying math...

Conventional laboratory experiments are useful mainly to assist understanding or analysis: because they are of necessity stereotyped, they are of limited usefulness when a circuit or system must be designed to meet a given specification. The majority of e...

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 focuses on how to create real electronic systems. It covers 'building block' circuits using bipolar transistors and FETs, and looks at the use and operation of op-amps. It also covers how to deliver timing in circuits, interfacing in mixed-sig...

This module looks at the how computer systems are designed and constructed, focussing on microcontrollers but also looking at how they fit into the context of other types of computer (e.g. DSP and desktop processor). It considers how data is processed and...

Semiconductor device technology has evolved beyond computation applications and is now increasingly being used in quantum electronics, lighting, lasers, high speed communications, photovoltaic energy harvesters, smart electronics for the Internet of Thing...

This module will provide students with an introduction to management and law – knowledge and skills which can be applied to the operations of an engineering-based organisation. The learning outcomes address: managerial decisions, commercial aspects of eng...

Machine Learning is about extracting useful information from large and complex datasets. The subject is a rich mixture of concepts from function analysis, statistical modelling and computational techniques. The module will cover the fundamental principles...

The individual project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging enginee...

This module covers the development of modern computer architectures for servers, workstations, hand-held devices, signal processing and embedded systems from the introduction of the four-stage RISC pipeline to the present day.

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.

To cover in some depth those areas of circuitry likely to be used between an analogue signal source and a digital signal processing system, making maximum use of available integrated circuits. This fits in with our overall programme of providing a broa...

Modern biology poses many challenging problems for the computer scientists. Rapid growth in instrumentation, and our ability to archive and distribute vast amounts of data, has significantly changed the way we attempt to understand cellular function, and ...

- To expand knowledge of techniques for information transmission via discrete (digital) channels, which have a wide area of applications, i.e. distributed computer systems, instrumentation and control systems, as well as communication systems of all types...

The topics considered are: z transforms, sampling and reconstruction, discretisation, elements of realisation theory, controller design via pole placement, observers, optimal control design.

With rapid popularity and advancements in technologies like the internet-of-things (IoT) and network-on-chip (NoC), the ability to connect and network embedded devices is becoming ever more commonplace, and a feature of most electronic devices. This modul...

This module describes in detail recent development in electronic devices that reduce energy consumption, generate power, or advance the distribution of power. Together these set of devices will play an essential role in the reduced dependence on fossil fu...

This module will be first offered in the 2019/20 academic year. This module will provide a basic grounding in navigation guidance and control with particular aspects on the processing of the signals involved and overall system integration.

Many classes of problems are difficult to solve in their original domain. An integral transform maps the problem from its original domain into a new domain in which solution is easier. The solution is then mapped back to the original domain with the inver...

The module will discuss all important issues related to scaling down the transistor size into the nanometer regime, such as high-k dielectrics and FINFETs. The teaching will be complemented with a finite element simulation of the MOS scaling which will br...

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

The module provides an introduction to the theory and practice of optimization techniques. It covers linear programming as well as nonlinear programming. This module is suitable to those who want to apply computational optimization methods to their proble...

This module gives a broad introduction to development of real-time and embedded systems

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...

This module introduces both the wireless and optical propagation environments, the modelling of the corresponding channels as well as their implications on the design and architecture of wireless and optical communications systems. The basic principles of...

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...

- To introduce key concepts in pattern recognition and machine learning; including specific algorithms for classification, regression, clustering and probabilistic modeling. - To give a broad view of the general issues arising in the application of algor...

This module is taught in Semester 2. It is particularly aimed at equipping our MSc Mobile Communications and Smart Networking, and MEng Electronic Engineering with Wireless Communication students with advanced communication theory and technologies, vital ...

The key aim of this module is to provide the background and the methods for the understanding of the operation of basic analogue CMOS cells, and how to design common functions. The emphasis is placed on design of analogue functions specifically as part of...

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 ...

The challenge of computer vision is to develop a computer based system with the capabilities of the human eye-brain system. It is therefore primarily concerned with the problem of capturing and making sense of digital images. The field draws heavily on ma...

This module covers the mathematics, techniques, and applications of modern cryptography. We will look at the history of code making and code breaking, and draw lessons for the future from the mistakes and successes of the past. We will also give a gentle ...

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 and differentiable programming 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 cheap GPGP...

Describe the design of complex digital systems using a (SystemVerilog and SystemC based) behavioural synthesis approach. Provide understanding of the algorithms which underpin behavioural synthesis including scheduling, allocation and binding. Gain ...

This module gives a broad introduction to application-specific processor system design and illustrates the use of such processors in the broader context of complex digital systems. A significant portion of the module assessment is coursework where stud...

Evolution by natural selection has created amazingly complex and sophisticated solutions to some very difficult problems - how exactly does it achieve this, and how can we harness this capability for engineering artificial systems and computational proble...

This course covers some advanced techniques that have the potential for application in the future generations of wireless communications systems. Recently, the research and development in wireless communications have been focused on the techniques for the...

This module is useful to introduce: - Image processing and its relation to signal processing. - Image transformations for filtering, coding and etc. - Histogram processing algorithms to enhance image qualities and visibility. - Theories analysing and ...

The Individual Research Project is a 7.5 ECTS credit masters level module undertaken by independent study that allows students to demonstrate mastery of an advanced aspect of their discipline, including critical evaluation of current research and research...

The aim of the module is to introduce students to the fundamentals of machine learning and then to apply the advanced machine learning principles for the design and optimisation of wireless communications systems and mobile networks. Recently, the rese...

This module provides an overview of modern microfabrication technologies for the making of micro structures applicable to device engineering. The various fabrication techniques that are relevant for microdevices in the field of electronics, optoelectroni...

This module teaches the basics of the behaviour of fluids in microsystems, specifically focussing on the interaction of fundamental physical mechanisms and the design of microfluidic devices. It also reviews and analyses the state of the art in applied mi...

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...

The emphasis of this module is on the methods required to develop mathematical models using differential equations to understand physical problems. The module involves both conventional lectures as well as discussion lectures. The discussion lectures comp...

This course consists of two parts: 'Nanofabrication' deals with the fabrication of structures that are smaller than 100 nm, while 'Microscopy' concerns the visualisation of such small features. Advanced optical lithography concepts are illustrated by a co...

Modern (and future) aircraft employ a variety of nonlinear techniques to both design control systems and perform analysis of the arising closed-loop. This is due to the fact that aircraft dynamics are fundamentally nonlinear and also, with the widespread ...

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...

In-depth knowledge of optical fibres as a light guiding medium is vital for understanding most other areas of optical fibre technology (telecommunications, sensors), and as support for practical work in this field. This module will describe the core areas...

The aim of this module is to provide an overview of advancement of quantum devices and technology in line with the development of nanoelectronics and nanotechnology. Students will gain knowledge of basic quantum mechanics and how the quantum mechanics are...

This course covers security and trust of hardware and embedded devices, with a particular focus on the emerging security challenges facing the internet of things technology. It includes the following topics: vulnerabilities in current digital system desig...

The course will present an introduction to guided waves, optical modes, and propagation characteristics of photonic circuits, using Silicon Technology by way of example.

This module prepares students to develop an understanding of the critical issues and application of software project management. It introduces the students to the tools, techniques and body of knowledge involved in each stage of the project management lif...

Design hierarchical modules using a layout editor. Demonstrate project management and time management skills including working to deadlines and planning your work beyond the next deadline. Communicate your work accurately and concisely through writt...

This modules provides an understanding of the design and layout of digital VLSI circuits and systems through laboratories and design exercises making use of appropriate CAD tools.

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...

This course introduces the principles and techniques needed to design a wireless transceiver. We will cover the process needed to take the main principles of digital communications such as digital modulation and detection. Through lectures and coursework,...