Electronic Engineering (BEng)

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...

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 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...

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...

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...

Bionanotechnology is the study of biology, in particular biological machines, and the application of biological building blocks to solve engineering challenges and create new areas of technological development. Learning about the structure and function of...

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...