BEng (Hons) ELECTRICAL AND ELECTRONIC ENGINEERING

This module consolidates the mathematical skills that underpin the BEng engineering degrees. It is specifically designed to cater for the wide differences in mathematical background of 1st year engineering students. Mathematics background is necessary to produce a competent electronic and computer systems engineer. Additionally, it aims to introduce students to the Matlab computing environment.  Assessment methods: 50% coursework, 50% exam.

This module introduces the syntaxes and semantics of programming language C++ and teaches students the intellectual knowledge in programming principles and programming skills with Object Oriented Programming (OOP) techniques. The practical skills include C++ program design with OOP and the use of the compiling tools for editing, compiling, linking and executing programs in workshops. After learning this module, students can pursue other software engineering and advanced programming courses and use OOP techniques to solve simple engineering problems. This module aims to provide students with intermediate proficiency in the use of the C++ programming languages and further to write efficient OOP programs making use of data classes. Assessment methods: 100% coursework.

This module is developed to provide students the knowledge of analysing DC and AC electrical circuits. It provides cornerstone skills required in the fields of electrical and electronic engineering, computer systems engineering and mechanical engineering. The course content covers electrical units, measuring instruments, series/parallel DC circuit analysis, storage elements analysis, AC waveforms, R, L, C, RL and RLC AC circuits with phasor analysis, electromagnetism, equivalent circuit of single phase transformer and three phase circuits including Star/Delta winding configurations and analysing the power in the balanced star/delta connected loads with symmetrical three phase supplies. Assessment methods: 50% coursework, 50% exam.

The module covers the fundamental theory for the design of and the practical uses of digital electronics in the two design domains of combinational logic design and sequential logic design. The process of developing digital logic design is modelled using Hardware Description Languages (HDL). The module studies hardware devices to build circuits for digital logic designs and tools to support the design and analysis of those circuits; these include standard logic gates and Field Programmable Gate Arrays (FPGA). The module covers common design blocks such as adders, encoders, comparators, data selectors, flip-flops, counters, registers. The module shows the design and implementation of full digital systems typically based around finite state machines from description in HDL to implementation using FPGA technology. Assessment methods: 50% coursework, 50% exam.

This module introduces the physics of semiconductor devices by exploring basic atomic theory, the flow of charge in materials, conduction mechanisms involved, the formation of bipolar semiconductor junctions, energy band diagrams, breakdown mechanisms and the operation of these solid-state devices (e.g. diodes and transistors). Assessment methods: 50% coursework, 50% exam.

This is a common module for all undergraduate year one engineering students. It provides core study skills, contextualised for engineering students. The module addresses the following: Design activities, team work, creative problem solving, project management, sustainable development principles, personal development planning, report writing communication, Computer-Aided Design (CAD),  Printed Circuit Board (PCB) designs and supports employability and transferable skills. The aim of the module is for students to begin their engagement with engineering design and with studying engineering in Higher Education. Assessment methods: 100% coursework.

This module covers undergraduate advanced engineering mathematics to enable you to consider and model a variety of relevant engineering problems (e.g. electrical, mechanical, petroleum, chemical, computer, civil). Assessment methods: 50% coursework, 50% exam.

This module introduces methods to mathematically model circuits, signals and systems required for the engineering of electrical, electronic, telecommunication and control systems. It shows how to model and analyse complex signals with Fourier series, Fourier transforms and Laplace Transforms. The direct and indirect method of convolution is used to find the time response of systems to given inputs. First and second order LTI dynamical systems are modelled with transfer functions and their zero-state and zero-input responses predicted when the inputs are any function of time. The frequency responses of some common LTI two port filter circuits are studied. A MATLAB/SIMULINK workshop enables understanding of signal synthesis using the Fourier series, finding the frequency spectra of complex and noisy signals using FFT, and the time response and the frequency response of systems. Assessment methods: 30% coursework, 70% exam.

This module aims to give a sound understanding of a range of topics in Control Systems Engineering. It will impart methods to model and analyse dynamical systems met in the engineering of systems such as robotics, automobiles, aircraft, automatic machinery, chemical process plant, etc. It will teach you to determine the stability of a system and to predict system responses in the time domain (transient and steady state) and in the frequency domain, as well as to handle the interconnection of many Single Input Single Output systems connected in feedback and feed forward configurations. The module will provide you with methods to specify supervisory control and data acquisition systems, and to modify the behaviour of a given system by using feedback control to improve stability, to make the system act quickly and precisely, and to reduce the effect of disturbances. Learning will be supported by a laboratory workshop that enables the study of control systems using both analysis methods and computer simulation using MATLAB and SIMULINK. Assessment methods: 30% coursework, 70% exam.

This module develops advanced techniques in analogue electronic design covering discrete (BJT / FET) and opamp related circuitry design, simulation, prototyping and testing. The aim of this module is to develop broad knowledge and experience in analogue circuit design from first principles and using SPICE related tools. Assessment methods: 50% coursework, 50% exam.

This module concentrates on teaching students to understand the basics of embedded systems hardware and software, and to develop the techniques in data acquisition and manipulation required for instrumentation and control applications. Embedded systems hardware and software design for rapid electronic prototyping will be covered. Further, it will solidify lectures with experimental assignment projects based on Arduino microcontroller kits. Specifically, the module will focus on practical interfacing, coding (in C/C++), signal acquisition, processing and display. There will be an independent open-brief project in the last part of the module intended to test the student’s embedded systems design and problem solving skills. Assessment methods: 100% coursework..

This is a skills-based module developing students' understanding of the design process within engineering, including factors that need to be taken into account in identifying and meeting requirements for new products, i.e. outcomes of processes; working within Regulatory, professional and Standards requirements; developing practical skills; working as part of a team; handling information; project planning and management; and report-writing and presentation skills. Assessment methods: 100% coursework.

This module establishes the students’ knowledge in all types of renewable energy systems. It provides cornerstone renewable energy engineering skills required in the fields of electrical and electronic engineering and electrical power engineering. The contents entails calculations and measurement methods of solar radiation and the theory of photovoltaics and its performance parameters. These will be applied in designing and analysing the photovoltaic technologies. This module also enlightens the design, development and performance analyses of wind energy technologies. Students’ will also advance their knowledge of smart grid interconnected wind energy and photovoltaic systems, supported by workshop experiments.

This module provides a deep understanding of modern communication theory, performance analysis and design of various communication systems. It also gives an overview of recent progress in broadband access technologies and evolution of wireless communication systems. Lectures cover concepts of transmission media, classification of communication systems, microwave transmission lines, fundamentals of antennas, radio wave propagation through space, modulation and multiplexing techniques, configurations of typical microwave transmission links/systems, power budget analysis, wireless transmission impairments, architectures and implementation of present and future wireless communication systems, respectively. Particular emphasis is given to design approaches and applications of current wireless communication systems.

This module aims to provide students with the in-depth understanding of modern medical electronics. Through lectures, tutorials and laboratory sessions, the module describes how biomedical electronics are used, and exemplar applications are discussed.

This module presents the nature and characteristics of embedded systems and the Internet of Things (IoT). It presents techniques for embedded applications, parallel input and output, serial communication, interfacing, interrupt handling, applications involving data acquisition, control, sensors, and actuators, embedded micro controllers, implementation strategies for complex embedded systems. It is discussed advanced challenges in embedded systems design using contemporary practice; interrupt driven, reactive, real-time, object-oriented and distributed client/server embedded systems. It is further discussed how IoT connects devices and various systems aiming to understand that it is a network of multiple connected physical objects, the things, involving myriad of applications.

The individual major project requires students to plan, execute,review and report upon a major piece of technical work directly related to their degree discipline. In this regard, it provides students with the opportunity to develop a high degree of subject specific expertise.This module differentiates from others on the course taken due to the high degree of autonomous study expected. This flexibility should be seen as an opportunity to explore new areas of interest and to acquire new and often unexpected skills. The work undertaken within the project will require students to develop their own methodologies in advance of presenting solutions to the studied problem.

This is a common module for all undergraduate year one engineering students. It provides core study skills, contextualised for engineering students. The module addresses the following: Design activities, teamwork, creative problem solving, project management, sustainable development principles, personal development planning, report writing communication, Computer-Aided Design (CAD),  Printed Circuit Board (PCB) designs and supports employability and transferable skills. The aim of the module is for students to begin their engagement with engineering design and with studying engineering in Higher Education.

Assessment methods: 100% coursework.

This module consolidates the mathematical skills that underpin the BEng engineering degrees. It is specifically designed to cater for the wide differences in mathematical background of 1st year engineering students. Mathematics background is necessary to produce a competent electronic and computer systems engineer. Additionally, it aims to introduce students to the Matlab computing environment.  Assessment methods: 50% coursework, 50% exam.

This module introduces the syntaxes and semantics of programming language C++ and teaches students the intellectual knowledge in programming principles and programming skills with Object Oriented Programming (OOP) techniques. The practical skills include C++ program design with OOP and the use of the compiling tools for editing, compiling, linking and executing programs in workshops. After learning this module, students can pursue other software engineering and advanced programming courses and use OOP techniques to solve simple engineering problems. This module aims to provide students with intermediate proficiency in the use of the C++ programming languages and further to write efficient OOP programs making use of data classes. Assessment methods: 100% coursework.

This module is developed to provide students the knowledge of analysing DC and AC electrical circuits. It provides cornerstone skills required in the fields of electrical and electronic engineering, computer systems engineering and mechanical engineering. The course content covers electrical units, measuring instruments, series/parallel DC circuit analysis, storage elements analysis, AC waveforms, R, L, C, RL and RLC AC circuits with phasor analysis, electromagnetism, equivalent circuit of single phase transformer and three phase circuits including Star/Delta winding configurations and analysing the power in the balanced star/delta connected loads with symmetrical three phase supplies. Assessment methods: 50% coursework, 50% exam.

The module covers the fundamental theory for the design of and the practical uses of digital electronics in the two design domains of combinational logic design and sequential logic design. The process of developing digital logic design is modelled using Hardware Description Languages (HDL). The module studies hardware devices to build circuits for digital logic designs and tools to support the design and analysis of those circuits; these include standard logic gates and Field Programmable Gate Arrays (FPGA). The module covers common design blocks such as adders, encoders, comparators, data selectors, flip-flops, counters, registers. The module shows the design and implementation of full digital systems typically based around finite state machines from description in HDL to implementation using FPGA technology. Assessment methods: 50% coursework, 50% exam.

This module introduces the physics of semiconductor devices by exploring basic atomic theory, the flow of charge in materials, conduction mechanisms involved, the formation of bipolar semiconductor junctions, energy band diagrams, breakdown mechanisms and the operation of these solid-state devices (e.g. diodes and transistors). Assessment methods: 50% coursework, 50% exam.

This module covers undergraduate advanced engineering mathematics to enable you to consider and model a variety of relevant engineering problems (e.g. electrical, mechanical, petroleum, chemical, computer, civil). Assessment methods: 50% coursework, 50% exam.

This module introduces methods to mathematically model circuits, signals and systems required for the engineering of electrical, electronic, telecommunication and control systems. It shows how to model and analyse complex signals with Fourier series, Fourier transforms and Laplace Transforms. The direct and indirect method of convolution is used to find the time response of systems to given inputs. First and second order LTI dynamical systems are modelled with transfer functions and their zero-state and zero-input responses predicted when the inputs are any function of time. The frequency responses of some common LTI two port filter circuits are studied. A MATLAB/SIMULINK workshop enables understanding of signal synthesis using the Fourier series, finding the frequency spectra of complex and noisy signals using FFT, and the time response and the frequency response of systems. Assessment methods: 30% coursework, 70% exam.

This module aims to give a sound understanding of a range of topics in Control Systems Engineering. It will impart methods to model and analyse dynamical systems met in the engineering of systems such as robotics, automobiles, aircraft, automatic machinery, chemical process plant, etc. It will teach you to determine the stability of a system and to predict system responses in the time domain (transient and steady state) and in the frequency domain, as well as to handle the interconnection of many Single Input Single Output systems connected in feedback and feed forward configurations. The module will provide you with methods to specify supervisory control and data acquisition systems, and to modify the behaviour of a given system by using feedback control to improve stability, to make the system act quickly and precisely, and to reduce the effect of disturbances. Learning will be supported by a laboratory workshop that enables the study of control systems using both analysis methods and computer simulation using MATLAB and SIMULINK. Assessment methods: 30% coursework, 70% exam.

This module develops advanced techniques in analogue electronic design covering discrete (BJT / FET) and opamp related circuitry design, simulation, prototyping and testing. The aim of this module is to develop broad knowledge and experience in analogue circuit design from first principles and using SPICE related tools.

Assessment methods: 50% coursework, 50% exam.

This module concentrates on teaching students to understand the basics of embedded systems hardware and software, and to develop the techniques in data acquisition and manipulation required for instrumentation and control applications. Embedded systems hardware and software design for rapid electronic prototyping will be covered. Further, it will solidify lectures with experimental assignment projects based on Arduino micro controller kits. Specifically, the module will focus on practical interfacing, coding (in C/C++), signal acquisition, processing and display. There will be an independent open-brief project in the last part of the module intended to test the student’s embedded systems design and problem solving skills.

This is a skills-based module developing students' understanding of the design process within engineering, including factors that need to be taken into account in identifying and meeting requirements for new products*, i.e. outcomes of processes; working within Regulatory, professional and Standards requirements; developing practical skills; working as part of a team; handling information; project planning and management; and report-writing and presentation skills.

This module establishes the students’ knowledge in all types of renewable energy systems. It provides cornerstone renewable energy engineering skills required in the fields of electrical and electronic engineering and electrical power engineering. The contents entails calculations and measurement methods of solar radiation and the theory of photovoltaics and its performance parameters. These will be applied in designing and analysing the photovoltaic technologies. This module also enlightens the design, development and performance analyses of wind energy technologies. Students’ will also advance their knowledge of smart grid interconnected wind energy and photovoltaic systems, supported by workshop experiments.

This module provides a deep understanding of modern communication theory, performance analysis and design of various communication systems. It also gives an overview of recent progress in broadband access technologies and evolution of wireless communication systems. Lectures cover concepts of transmission media, classification of communication systems, microwave transmission lines, fundamentals of antennas, radio wave propagation through space, modulation and multiplexing techniques, configurations of typical microwave transmission links/systems, power budget analysis, wireless transmission impairments, architectures and implementation of present and future wireless communication systems, respectively. Particular emphasis is given to design approaches and applications of current wireless communication systems.

This module aims to provide students with the in-depth understanding of modern medical electronics. Through lectures, tutorials and laboratory sessions, the module describes how biomedical electronics are used, and exemplar applications are discussed.

This module presents the nature and characteristics of embedded systems and the Internet of Things (IoT). It presents techniques for embedded applications, parallel input and output, serial communication, interfacing, interrupt handling, applications involving data acquisition, control, sensors, and actuators, embedded micro controllers, implementation strategies for complex embedded systems. It is discussed advanced challenges in embedded systems design using contemporary practice; interrupt driven, reactive, real-time, object-oriented and distributed client/server embedded systems. It is further discussed how IoT connects devices and various systems aiming to understand that it is a network of multiple connected physical objects, the things, involving myriad of applications.

The individual major project requires students to plan, execute,review and report upon a major piece of technical work directly related to their degree discipline. In this regard, it provides students with the opportunity to develop a high degree of subject specific expertise.This module differentiates from others on the course taken due to the high degree of autonomous study expected. This flexibility should be seen as an opportunity to explore new areas of interest and to acquire new and often unexpected skills. The work undertaken within the project will require students to develop their own methodologies in advance of presenting solutions to the studied problem.