Mechatronics and Robotic Systems with Year in Industry MEng (Hons) Add to your prospectus

  • Offers study abroad opportunities Offers study abroad opportunities
  • This degree is accreditedAccredited

Key information


  • Course length: 5 years
  • UCAS code: HHR6
  • Year of entry: 2018
  • Typical offer: A-level : ABB / IB : 33 / BTEC : D*DD
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Module details

Programme Year One

You will take the modules:

  • Digital and Integrated Electronics Design
  • Electrical Circuits and Systems
  • Mathematics 1 and 2 for Electrical Engineers
  • Electronic Circuits
  • Introduction to Programming in C
  • Solids and Structures 1

If you are not sure if you wish to take a BEng (Hons) or an MEng (Hons) degree then we advise that you apply for the MEng and make a final decision at the end of Year Two.

Year One Compulsory Modules

  • Electronic Circuits (ELEC104)
    Level1
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting70:30
    Aims
  • ​To introduce students to fundamental electronic devices (diodes and transistors).
  • ​To show how diodes and transistors are used in amplifier and switching circuits.​

  • Learning OutcomesStudents will be able to show knowledge and understanding of the behaviour, important properties and applications of diodes and transistors.​​Students will have the ability to understand and apply equivalent circuit representations of diodes and transistors.​​

    Students will be able to demonstrate understanding of circuit biasing, the role of decoupling capacitors and the performance of some commonly used configurations and their practical significance.​​

  • Introduction to Programming in C (ELEC129)
    Level1
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting0:100
    Aims

    Despite the popularity of newer languages such as C++ and Java the C language remains a core skill in the software business ranking in the top ten desired skills. C is one of the most popular languages for programming embedded systems that are found in automobiles, cameras, DVD players and many other modern appliances.

    This module aims to enable students to:

    • Learn and use the C programming language
    • Use the C language to solve real engineering problems
    • Acquire fundamental software development skills covering program design, coding and testing
    Learning Outcomes

    Knowledge of the C programming language

    Knowledge of general programming concepts

    ​Knowledge of the role and functions of the hardware and software components of a computer

    ​Understanding of the software development process

  • Electrical Circuits and Systems (ELEC142)
    Level1
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting70:30
    Aims
  • To become familiar with a range of circuit analytical techniques

  • ​To be able to apply the most appropriate technique for a given circuit

  • To understand and be able to analyse transient phenomena in circuits containing reactive elements
  • To understand the basic principles of operational amplifiers and analyse circuits containing them

  • To introduce students to AC circuits.

  • To provide a method for AC circuit analysis for fixed frequency supplies.

  • To extend the AC circuit analysis for variable frequency circuits (ie simple filters).

  • To extend the analysis from passive frequency dependent circuits to active circuits. ​

  • Learning Outcomes

    ​Understand Ohms Law and other fundamental principals

    Understand how circuits can be simplified using resistor combinations

    ​Understand the difference between real and ideal components

    ​Understand how to apply advanced circuit analysis techniques  (Nodal Analysis, Superposition, thevenin and Norton theorems) to  solve simple DC and AC circuit problems.

  • Digital & Integrated Electronics Design (ELEC143)
    Level1
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting65:35
    Aims

    This module aims to provide students with knowledge of:

    • Number systems such as binary, hexadecimal, BCD
    • Laws of Boolean Algebra
    • Basic design methods for combinational and sequential logic circuits.
    • Operation of various silicon electronic devices
    • To provide students with the opportunity to understand the basic principles of silicon microelectronics design.
    • Introduce the subject in the frame of reference of basic design and problem solving.
    • To develop practical skills in the handling and measurement of components.
    • To increase the confidence of the student in undertaking material with a strong analytical and engineering content.
    Learning OutcomesUnderstanding of number systems such as binary, hexadecimal and BCD
    ​​Knowledge of the laws of Boolean Algebra

    ​​Knowledge of basic design methods for combinational and sequential logic circuits 

    ​Understanding of the application of the physical laws of semiconductor to practicle silicon electronic devices such as diodes and transistors

    ​Familiarity of the common design rules for development of layouts for the silicon devices and simple circuits

  • Mathematics I for Electrical Engineers (MATH191)
    Level1
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting90:10
    Aims

    To bring students from varying backgrounds up to a common level in preparation for further modules in mathematics. To cover in detail the basic techniques of differential calculus,and provide an introduction to the theories of integral calculus, vectors, complex numbers and series.

    Learning Outcomes

      Understand the notion of limits on an intuitive level

    ​Differentiate functions using the product, quotient and chain rules

    ​Understand various applications of the theory of differentiation, including Maclaurin series and Taylor series

    ​Carry out simple calculations involving integration, vectors, complex numbers, and series

  • Mathematics II for Electrical Engineers (MATH192)
    Level1
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting80:20
    Aims

    1. To provide a detailed introduction to techniques (change of variable,

        integration by parts and partial fractions) for and applications of

        one-dimensional integrals.

     

     2. To introduce partial derivatives of functions of two variables and their

        applications, e.g., for linear approximations.

     

     3. To comprehensively introduce matrices, determinants and several

        techniques for solving systems of linear equations; to introduce

        eigenvalues and eigenvectors for 2x2 matrices.

     

     4. To briefly revise or introduce the scalar and cross products of vectors

        and their basic applications.

     

     5. To give a comprehensive introduction to first-order ordinary differential

        equations (ODEs), including systems of two ODEs with constant coefficients,

        and second-order ODEs with constant coefficients.

     

     6. To introduce, time permitting, the Fourier expansion of periodic functions.

    Learning Outcomes

    Learning outcomes

     After completing the module students should be able to

     *  evaluate a range of one-dimensional integrals using standard techniques

     *  calculate partial derivatives and find the tangent plane to a surface

     *  invert 3x3 matrices and solve systems of linear equations

      *  solve basic (systems of) ODEs relevant to electrical engineering

  • Solids and Structures 1 (ENGG110)
    Level1
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting75:25
    Aims

    This module aims to introduce students to the fundamental concepts and theory of how engineering structures work to sustain loads. It will also show how stress analysis leads to the design of safer structures.  It will also provide students with the means to analyse and design basic structural elements as used in modern engineering structures.

    Learning Outcomes

    Demonstrate knowledge and understanding of the principles of static equilibrium of structural systems

    ​Demonstrate knowledge and understanding of how structures sustain loads without failing

    ​Ability to analyse stress and strain in basic structural members as a means to designing safer structures

    ​Ability to size basic structural members for given limiting stress criteria in a design context

Programme Year Two

  • Signals and Systems
  • Electronic Circuits and Systems
  • Instrumentation and Control
  •  Electronic Circuits and Power Systems
  • Field Theory and Partial Differential Equations
  • Dynamic Systems
  • Solid and Structures 2
  • Digital Electronics and Microprocessor Systems

Year Two Compulsory Modules

  • Instrumentation & Control (ELEC207)
    Level2
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting95:5
    Aims

    Part A:

    To provide the student with the ability to select a suitable transducer and associated system for a given measurement application and to consider possible alternative solutions. To understand the principles of transducer operation and factors contributing to the measurement error.

    Part B:

    To provide the student with a thorough understanding of the principles of a closed loop control system via system modelling, performance analysis and controller design and synthesis.

    To provide a framework, within which students can evaluate, develop and implement the design methodologies of classical control, with applications to Electrical, Mechanical and Mechatronics systems.

    Learning Outcomes
    • ​An understanding of the physical basis of some common electrical transducers
    • A general appreciation of basic transducer specifications and their interpretation
    • An understanding of the system requirements for a typical measurement system
    • An appreciation of some common factors that can affect the performance of a measurement system.

    • An understanding of the behavior of linear systems, the derivation of mathematical models, and transfer function representation
    • A familiarity with the problem of stability, and the ability to apply standard tests for stability
    • An appreciation of the advantages and disadvantages of closed-loop feedback with regard to system response speed, sensitivity to parameters and disturbances, accuracy and stability
    • An appreciation of graphical techniques for representing control system characteristics
    • A familiarity with common types of system controller, and an ability to select the most appropriate controller for a given problem
    • An appreciation of how complete control schemes are implemented in hardware and software, and the problems of system integration.
  • Electrical Circuits & Power Systems (ELEC209)
    Level2
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting90:10
    Aims
    • This modules aims to equip students with tools to analyse inter-related circuits.
    • To provide students with an introduction to the components and composition of an electric power system. 
    • To consider the different primary energy sources and the way in which power is delivered to the customers.
  • Learning Outcomes

    Knowledge and understanding of magnetically coupled circuits and the concept of mutual inductance. ​

    Knowledge and understanding of three-phase networks and the concept of a balanced and unbalanced network​

    Knowledge and understanding of response of simple networks to transient​

    Knowledge and understanding of the interconnection of two port networks including maximum power transfer, insertion loss and impedance matching​

    Knowledge and understanding of power, power balance, power systems

    Knowledge and understanding of components of a power system

    Knowledge and understanding of the per-unit systems

    Knowledge and understanding of different energy sources

    Knowledge and understanding of induction generators

    Knowledge and uderstanding of synchronous generators

    Knowledge and understandng of unbalanced powers systems operation

  • Digital Electronics & Microprocessor Systems (ELEC211)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting75:25
    AimsTo provide students with the ability to:
    • Design digital systems using the Algorithmic State Machine (ASM) methodology.
    • Understand the features of Programmable Logic Devices (PLDs) and use them in their designs.
    • Interface memory and other peripherals to microprocessor systems.
    • Provide knowledge of microprocessor systems with a good understanding of how basic microprocessors work.
    • Understand basic assembly language programmes.
    • Know the different data formats such as ASCII 2''s complement and floating point format and more advanced microprocessor concepts such as pipelines and Harvard architecture.
    Learning Outcomes

    ​Demonstrate a knowledge of digital electronics including combinational and sequential logic, algorithmic state machine (ASM) design techniques, Quine-McCluskey method and Karnuagh map-entered variables.

    ​Demonstrate an ability to design digital electronics using FPGA and a hardware description language.

    ​Demonstrate a knowledge of microprocessor concepts including architecture, assembly language, standard formats for negative and floating point numbers

    ​Demonstrate a knowledge of more advanced microprocessor concepts including von Neuman/ Harvard architectures, pipelining and memory cache.

    ​Demonstrate an ability to understand assembly language code and use assembly language  to write simple computer programmes on a basic microprocessor.

  • Signals and Systems (ELEC270)
    Level2
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting45:55
    Aims

    To introduce the student to the fundamentals of the analysis of continuous- and discrete-time signals and systems.

    To equip the student with the mathematical tools that would allow him/her to design and/or analyse a linear time-invariant system, e.g. a filter.

    To present the concepts involved with signals and systems. Namely:

    • Signal Classification, Representation and Analysis
    • Fourier Series
    • Fourier Transform
    • Laplace Transform
    • Linear Time-invariant (LTI) Systems and Filters
    • Discrete-time Fourier Series
    • Discrete-time Fourier Transform
    • z-Transform
    Learning Outcomes​​

    ​After completion of the module, the student should have:

    An understanding of the use of Fourier Series to represent periodic continuous-time signals.

    An understanding of the use of the Fourier Transform to represent finite energy signals.

    An understanding of the Laplace Transform, its properties and its use in circuit and system analysis.

    An understanding of the use of Discrete-time Fourier Series to represent periodic discrete-time signals.

    An understanding of the use of the Discrete-time Fourier Transform.

    An understanding of the z-Transform, its properties and its use for discrete-time signals and systems.

    An understanding of the relationship between time and frequency domains.

    An understanding of Linear Time Invariant Systems, and filters, both in the continuous- and discrete-time domains.

    An appreciation of the relationship between the system function and the frequency response.


    ​​The ability to deal with real physcial signals and analyse, synthesise and otherwise manipulate them using available laboratory equipment.
  • Electronic Circuits and Systems (ELEC271)
    Level2
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting70:30
    Aims
    • To understand how electronic circuits are designed and undertake some simple design exercises .
    • To understand how electronic devices can be represented by simple, linear equivalent circuits.
    • To show how complex circuits can be sub-divided into building blocks and these blocks in turn represented by linear equivalent circuits which can be analysed using standard circuit techniques.
    • To understand the interaction between the building blocks to allow estimation of important systems parameters such as gain, input output resistance etc.
    • To appreciate the importance of negative feedback in improving electronic systems performance and tolerance.
    Learning Outcomes

    ​Circuit operation

    Circuit design fundamentals

    ​Appreciation of historical perspective and state-of-the-art

  • Field Theory and Partial Differential Equations (MATH283)
    Level2
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting80:20
    Aims
    • To introduce students to the concepts of scalar and vector fields.
    • To develop techniques for evaluating line, surface and volume integrals.
    • To introduce students to some of the basic methods for solving partial differential equations
    Learning Outcomes

    After completing the module, students should be able to:

    • Evaluate Grad, Div, Curl and Laplacian operators in Cartesian and polar coordinates
    • Evaluate line, double and volume integrals
    • Have a good understanding of the physical meaning of flux and circulation 
    • Be able to solve simple boundary value problems for the wave equation, diffusion equation and Laplace''s equation      
  • Solids & Structures 2 (ENGG209)
    Level2
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting80:20
    Aims

    To provide awareness and some understanding of the principles of solid mechanics applied to engineering structures. In particular, the behaviour and types of failure (instability) of simple elastic systems and structural members used in aerospace, civil and mechanical engineering applications.

    Learning Outcomes

    Knowledge and understanding of ​solid mechanics principles applied to engineering structures such as beams, columns and pin-jointed frames;

    Awareness about the types of behaviour of simple elastic structural systems;

    ​​Ability to predict the behaviour and failure (instability) of simple elastic structural systems;

    ​Ability to determine the stresses in nonsymmetric thin-walled sections; 

    ​Appreciation of the importance of boundary conditions​

  • Dynamic Systems (MECH215)
    Level2
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting80:20
    Aims

    To develop an understanding of the essential principles governing the behaviour of first and second order systems in the time and frequency domains and to introduce the concepts of feedback control and dynamic stability.

    To develop skills in carrying out and reporting upon simple experiments in Dynamic Systems.

    Learning Outcomes

    ​Students will be able to model, solve and interprete first- and second-order systems problems in mechanical, electrical and aerospace engineering.

    ​Students will understand the resonance phenomenon and will be able to take it into account when designing a dynamical system.

    ​Students will be able to analyze or design closed-loop dynamical systems.

    ​The students will know how to control the dynamics of a system by proposing and calibrating a suitable controller at elementary level.

    ​Students will be able to carry out suitable experiments to analyse and identify second-order mechanical systems.

Programme Year Three

This is the placement year during which you will spend time working in an engineering company. This is an excellent opportunity to gain practical engineering experience which will boost your CV. Many placement students continue their relationship with the placement provider by undertaking relevant projects when they return to the University and may ultimately return to work for the company when they graduate. The placement is assessed by two reports, a poster and an oral presentation.

Preparation for the placement is provided by the University’s Careers and Employability Services (CES) who will assist to finding a placement, help you prepare a professional looking CV and prepare you for your placement interview. Placements can be near or far in the UK, Europe and China. For example placements have been offered by the Proudman Oceanographic Laboratory which is based on the University campus. And CES is active in finding placements with companies based on Suzhou Industrial Park (SIP) in China. Students who take up a placement on SIP are offered accommodation at our partner University, Xi’an Jiaotong Liverpool University, based in Suzhou and they have access to all the facilities on the XJTLU campus.

Year Three Compulsory Modules

  • Placement (ELEC299)
    Level3
    Credit level120
    SemesterWhole Session
    Exam:Coursework weighting0:100
    Aims

    The aim of this module is provide students with experience of an industrial environment and to assess operational aspects of the company, its products, working practices, marketing and managment structures.

    Learning Outcomes

    Students should have the ability to identify: Strengths and weaknesses within the organisation and its management structure; The effectiveness of marketing within the company; And assimilate financial information from the company''s published accounts; Ethical policies and their effectiveness within the company; Sustainability issues for the company; The effectiveness of the Human resources and policies on employees, motivation and loyalty; Areas where the strategic plan is being implemented and how effective it is being delivered.

    ​At the end of the module students should have an appreciation of: Management and organisational structure of the company; Principal roles of company personnel; Strategic plans (as published); Processes for ordering goods etc; Processes for processing orders etc; Financial controls that are in place to ensure that costs are controlled; The company''s accounts; Decision making processes within the company; Marketing processes within the company; Processes function in the company to ensure deliver of quality in services or products; Any ethical policies; Sustainability of product lines or services.

Programme Year Four

You study both compulsory modules and options chosen from a list of advanced topics. In addition, an extended individual project is undertaken, linked to the needs of an industrial partner. The compulsory modules are:

  • Embedded Computer Systems
  • Drives
  • Industrial Robotics & Automated Assembly
  • Digital Control and Optimisation
  • Engineering Management and Entrepreneurial Skills
  • Mechatronics
  • MEng Project

You choose optional modules from:

  • Signal Processing and Digital Filtering
  • Digital System Design 
  • Electronics for Instrumentation and Communications
  • Integrated Circuits - Concepts and Design
  • Application Development with C++
  • Photonics & Optical Information Systems
  • Organic Electronics
  • Power Generation, Transmission and Distribution
  • RF Engineering and Applied Electromagnetics
  • Antennas
  • Electromagnetic Compatibility
  • Neural Networks
  • RF Engineering & Applied Electromagnetics
  • Image Processing
  • Advanced Modern Management
  • Digital and Wireless Communication

Year Four Compulsory Modules

  • Digital Control and Optimisation (ELEC303)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims
    • To introduce the students to the fundamentals of applied digital control
    • To familiarise the students with digital control design techniques through realistic control examples and applications
    • To introduce digital,P,PI,PID and full state feedback controller design
    • To introduce how to implement a digital control algorithm in software
    • To introduce the basic concept of optimisation
    • To introduce the conventional optimisation techniques
    • To introduce gradient based optimisation methods and their properties
    • To familiarise the student with the application of optimisation methods
    Learning Outcomes

    ​1: The student will be able to use Z transforms and state-space modelling to design and implement digital control algorithms.

     

    2: The student will be able to set-up optimisation problems and utilise conventional and gradient based methods to solve these problems.​

  • Drives (ELEC331)
    Level3
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims
    • To introduce students to a range of electrical machines (AC & DC) using the concepts of rotating magnetic fields, co-energy.
    • To facilitate the prediction of machine performance by the use of equivalent circuits
    Learning Outcomes
  • Engineering Management and Entrepreneurial Skills (ELEC352)
    Level3
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting25:75
    Aims

    ​To introduce students to some of the tools and constraints associated with managing both small and large projects, and with some simple costing approaches.  To undertake a virtual project in small groups.  To encourage students to adopt a project approach to current and future tasks and to learn the language adopted by project oriented employers.  To instil an entrepreneurial outlook.

    Learning Outcomes

    ​Practical project management

    ​Practical risk management

    ​Practical cost management

    ​Formal meeting administration and record taking

    ​Teamwork and communications

  • Embedded Computer Systems (ELEC370)
    Level3
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting100:0
    Aims

    To obtain an understanding of the construction and operation of embedded computer systems and their components. Furthermore to gain an understanding of how computer performance is dependent upon the design of computer architectures and sub-circuits.

    Learning Outcomes
  • Meng Project (ELEC440)
    LevelM
    Credit level30
    SemesterWhole Session
    Exam:Coursework weighting0:100
    Aims

    The project is intended to provide experience of all apsects of working as an individual engineer to complete a relatively complex engineering task:

    • To meet the mainrequirements of the professional institutions'' EA2 (Engineering Applications):application of engineering principles to the solution of practical problems within an accredited MEng degree course.
    • To give the student opportunity of applying capacities (knowledge, initiative, enthusiasm, etc.) to plan, carry out and control an open-ended project in a topic of choice
    • To provide experience of all aspects of working as an independent researcher
    • To complete a relatively complex engineering task.
    Learning Outcomes

    ​The project provides an experience of all aspects of working at a problem which has a complexity that is comparable with those encountered in industry. Upon successful competion of the project, the student will have developed a substantial knowledge and understanding of the main key aspects of various electrical engineering and electronics related problems.​

    ​Demonstrate the ability to manage the project in terms of aims and objectives, deliverables and milestones, time and resources and to research and gather appropriate information.


    ​Demonstrate an ability to define a problem and produce a specification that meets the approval of the project supervisor.


    ​Demonstrate an understanding of health and safety including risk assessment.


    ​Demonstration of ability to analyse technical problems either quantitatively or qualitatively and to design an experiment, system, component or process to perform that analysis based upon an agreed project specification.​

  • Industrial Robotics and Automated Assembly (MNFG409)
    LevelM
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting0:100
    Aims

    To provide the basic knowledge and skills to design, build and operate industrial robotic systems and to understand the advantages and disadvantages of their deployment.

    Learning Outcomes

Year Four Optional Modules

  • Signal Processing & Digital Filtering (ELEC309)
    Level3
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting90:10
    Aims
    • To develop basic framework for signal processing and to demonstrate some applications.
    • To provide students with a good understanding of the types and behaviours of a number of different digital filters,

  • Learning Outcomes

    Appreciation of how to analyse FIR and IIR filters using z-transform.​

    Appreciation of the effects of quantisation.​

    Applications in waveform generators and digital audio.​

    The use of DFT, FFTand linear convolution.​knowledge of the concepts of linear time-invariant circuits and systems.

    Knowledge of samplingand filtering methodologies.

    Designing FIRdigital filters using the window(Fourier series) technique.​

    Designing IIRdigital filters using pole/zero placement, the bilineartransform or othertechniques. ​

    Using MATLAB in filter design.

  • Rf Engineering and Applied Electromagnetics (ELEC311)
    Level3
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    This module aims to introduce students the fundamentalconcepts of high frequency electromagnetics; to present and develop theunderlying theory of transmission lines (TX), including lossy TX; to introducethe Smith Chart as an important tool in TX design and analysis;  to give an appreciation of the importance ofcomputational electromagnetics its role in industrial applications; to give aclear understanding of impedance matching and related techniques; to introducethe concept of the scattering parameters for 2-port networks and their applicationsand measurements; to understand radio wave propagation, attenuation andreflection; and to enable students appreciate the basic understanding of RF filter, antenna andamplifier design.​

    Learning Outcomes

     

    • The essentials of RF engineering and applied EM. The circuit and field concepts and their relevance to RF systems.

    • The underlying theory and physical concepts behind transmission lines (TX) and the factors governing performance of real TEM transmission lines, and knowledge of various transmission lines in practice.​

    • Reflection coeffiecients, VSWR,and return loss in communication systems​

    • The methods of achieving matched conditions for maximum power transfer.​

    • S- parameters and their measurement and applications.​

    • An appreciation of radio propagation and antennas.​

    • Fundamental knowledge of RF components and devices, such as filters and amplifiers, for modern communicaiton systems.
  • Antennas (ELEC312)
    Level3
    Credit level7.5
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims
  • To introduce fundamental antenna principles and concepts based on the underlying electromagnetic theory.

  • ​To gain a good understanding of antenna theory and design​

  • Learning Outcomes

    The ability and understand the operation and fuctions of antennas

    ​​The ability to design basics antennas

  • Photonics and Optical Information Systems (ELEC313)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims
    • To introduce students to the fundamental principles of opto/electronic systems for the transfer of information.
    • To introduce the duality of light as both wave and ray.
    • To show intensity and phase related optical principles.
    • To demonstrate optical information transfer through a number of applications.
    Learning OutcomesKnowledge and understanding of electronic to optical and optical to electronic conversion and associated devices.

    ​An understanding of power transfer, modulation transfer function, system transfer function and optical data storage​

    ​An understanding of information transfer via optical intensity and phase modulation.


    ​Knowledge and understanding of the duality of light.


    ​An appreciation of how to manipulate light rays and an appreciation of intensity and phase related effects of light.​


  • Electronics for Instrumentation and Communications (ELEC317)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    To gain knowledge of a wide range of analogue components and electronics for instrumentation and communications.

    To gain a better understanding of the theory, analysis and design of analogue electronic circuits used in instrumentation and communications systems.

    To learn and use an industrial standard simulation tool (Agilent ADS) for the design of electronic systems.
    Learning Outcomes

    ​After successful completion of the module, the student should have

    • A good understanding of a wide range of analogue components, including filters, amplifiers, oscillators, mixers, and phase locked loops.
    • An understanding of the limitations of these components and how these can be overcome by design or the appropriate choice of device.
    • An understanding of how to design these components.
    • An understanding of computer aided design of electronic systems

    After successful completion of the module, the students should be able to demonstrate ability in applying knowledge of the module topics to:

    • Analyse problems associated with electronic circuits for instrumentation and communication systems
    • Select correct components for electronic system design.
    • Design an electronic system using an industrial standard CAD tool.

  • Image Processing (ELEC319)
    Level3
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    To introduce the basic concepts of digital image processing and pattern recognition.

    Learning Outcomes

    ​After successful completion of the module, the student should have:

    • An understanding of main principles of digital image processing, and its relation to pattern recognition in images, object detection,  tracking and machine vision.
    • An appreciation of the areas of applications for various image enhancement techniques.

    ​After successful completion of the module, the student should have:

    • An understanding of the standard methods of image manipulation, representation and information extraction.

  • Neural Networks (ELEC320)
    Level3
    Credit level7.5
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims
  • ​Understand the basic structures and the learning mechanisms underlying neural networks within the field of artificial intelligence and examine how synaptic adaptation can facilitate learning and how input to output mapping can be performed by neural networks.
  • ​ Obtain an overview of linear, nonlinear, separable and non separable classification as well as supervised and unsupervised machine learning.
  • Learning OutcomesLearning  the advantages and main characteristics of neural networks in relation to traditional methodologies. Also, familiarity with different neural networks structures and their learning mechanisms.​

    ​​​​​​​Understanding of the neural network learning processes and their most popular types, as well as  appreciation of how neural networks can be applied to artificial intelligence problems.
  • Organic Electronics (ELEC324)
    Level3
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    The main aim is to make thestudents aware of the new developments in large-area, low-cost and flexible Electronics,particularly those relating to the use of conjugated polymer and fullerenebased compounds and composites.

    Learning Outcomes

    ​Knowledge and understandingof the operation of organic Schottky diode, thin-film transistors, light-emittingdiodes and photovoltaics

    ​Knowledge to analyse novel organic device models

    Ability to analyse static and dynamic organic circuits​

    ​Ability to utilise organic models to design simple organic circuits

  • Application Development With C++ (ELEC362)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting0:100
    Aims

    To provide students with the ability:

    • To Identify functional requirement for an application and produce an adequate specification.
    • To design a programme based on functional decomposition method.
    • To convert design into efficient C++ code.
    • To design and implement an application graphical user interface.
    • To use common components including controls in Windows based programme.
    • To implement event handlers and validate the programme functionality.
    • To work independently or as a team member in the management of application development.
    Learning OutcomesKnowledge and Understanding--On successful completion of the module, students should be able to demonstrate:
    • Knowledge of C++ as an advanced programming language.
    • Understanding of functional decomposition based and Object-oriented programme design.
    • Knowledge of the principles of system development.
    • Understanding of Windows based applications and their components.
  • Integrated Circuits - Concepts and Design (ELEC372)
    Level3
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting45:55
    Aims

    To understand the reasons for the predominance and importance of silicon based microelectronics to the semiconductor industry. To understand how materials, devices and circuit issues are inter-related and exploited to make the microchips that underpin the information age. To prepare students for entering the Si semiconductor industry.

    Learning Outcomes
  • Digital System Design (ELEC373)
    Level3
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting20:80
    Aims

    To provide students with the ability to:

    • Design and synthesise digital systems using Verilog and ASM.
    • Understand the problems of meta-stability in digital systems.
    • Design microprocessors using ASM techniques.
    • Develop and test customised NIOS II systems using Altera''s System on a Programmable Chip (SOPC) builder tool and Software Build Tools (SBT)..
    Learning Outcomes

    ​Ability to design digital systems using the ASM design method.

    ​Ability to implement digital systems using the Verilog Hardware Description Language.

    Understanding the internal operation of a MIPS processor.

    ​Ability to implement a SOPC system using Quartus Nios-II.

  • Digital and Wireless Communications (ELEC377)
    Level3
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims
    • To provide an extensive coverage of the theory and practice of digital and wireless communication systems
    • To allow students to be able to design and develop digital and wireless communication systems, with an awareness of all the main factors involved and of existing and emerging technologies.

       

    Learning Outcomes

    ​After completion of the module, the student should have a good knowledge and understanding of:
    The nature of data and how it is stored and communicated.
    The limitations imposed on communication system performance and design by various factors
    How noise arises in communications systems, and its effects of noise upon communications system behaviour and performance.
    Sources and effects of mobile radio propagations.
    Design of the optimum receiver and analysis of error probability for digital communications
    How to achieve the goals of a communication system by trading off system parameters such as signal-to-noise ratio, error probability and bandwidth expenditure
    Various multiuser communication techniques

    ​On successful completion of the module, students should be able to demonstrate a knowledge in applying the module topics to:
    Specify the requirements for a digital or wireless communication system
    Design the optimum receiver for a communication system
    Analyse the performance of a communication system
    Critical thinking ability from evaluating and responding to issues such as unachievable or impractical specifications and impossible performance claims.

  • Electromagnetic Compatibility (ELEC382)
    Level3
    Credit level7.5
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    AimsThe module is aimed to provide the students with advanced knowledge and skills to deal with EMC problems.The students are expected

    1. To master the fundamental EMC principles and concepts based on the underlying electromagnetic theory.
    2. ​​To study EMC standards and regulations, and be able to apply them to real world problems.
    3. ​​To be able to use advanced theory too analyse EMC problems
    4. To be able to conduct EMC measurements and tests, and also interprete the results. 
    Learning Outcomes

    ​An indepth understanding of EMC theory, standards and practice.

    ​Ability to conduct EMC tests and analysis. 

    ​Ability to conduct EMC analysis and designs

    Knowledge and skills and solve EMC problems

  • Power Generation, Transmission & Distribution (ELEC401)
    LevelM
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting75:25
    Aims

    • To give students a generalised view of the structure of a power system.
    • To develop the ability to analyse the steady-state and transient operation of an integrated power system in terms of the electrical and other constraints on power flow.
    • To introduce the basic principles of fault analysis and electrical safety regulations.
    • To familiarise students with some basic concepts of power electronics and to provide them with the tools to design some basic circuits.
    • To understand the principles of operation of power converters.
    • To show how power electronics and machines are complementary components of drive or generating systems, through examples of practical applications.
    Learning Outcomes

    • An advanced understanding of the nature of the load on a power system and the way in which power is supplied by generators and transmitted to consumers. 
    • A clear understanding of how synchronous generators (alternators) interact with a power system in both normal and fault conditions. 
    • Knowledge of how these generators are interconnected by the high-voltage transmission grid. 
    • Advanced knowledge of complex power flow in a network. 
    • An understanding of the matrix analysis of the network and load flow analysis. 
    • Good command of the per-unit system in the analysis of large power systems. 
    • A clear understanding of the consequences of different faults on transmission and distribution networks. 
    • Good awareness of general electrical safety issues.​

    • An advanced understanding of AC-DC uncontrolled and controlled rectifiers. 
    • An understanding of pulse width modulation to control voltage and its development into switching DC-DC supplies. 
    • An understanding of the AC(-AC) voltage control. 
    • An advanced understanding of the electronic generation of AC from DC and the ability to vary frequency. 
    • An understanding of variable speed DC and AC drives. 
    • A clear understanding of the fundamental ON-OFF nature of power electronic switches and how they are controlled to vary voltage levels and frequency. 
    • Advanced knowledge of various applications of power electronics in power systems and renewable energy.​​
  • Advanced Modern Management (MNGT352)
    Level3
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    The Aims of this module are as follows:

    • To introduce the student to various aspects of advanced modern management.
    • To develop a knowledge and understanding of modern management tools.
    • To stimulate an appreciation of management and its importance in organisational success.
    Learning Outcomes

    ​Students who complete this module will obtain a good understanding of the following:

        The scientific theory of industrial psychology and organisational behaviour.    The key components of operations and management.    The impact of supply chain and logistics to modern business.

    ​On successful completion of the module, students should be able to demonstrate ability in applying knowledge of the above topics to:

        Analysis of organisation behaviour.    Analysing of operations systems and performance evaluation.    Analysis and modelling of supply chain.

Programme Year Five

During this year, students continue compulsory modules, choose further options and undertake an extended group project. A recent project involved controlling a robot to navigate through a maze – each project with an advanced technical element is linked to a research group programme that is also supported by industry. The compulsory modules are:

  • Digital Systems Design
  • Advanced System Modelling and Control
  • Microprocessor Systems
  • Image Processing 
  • Management of Design 
  • Computational Intelligence
  • MEng Project

The optional modules are:

  • Information Theory and Coding
  • Radio Propagation for Wireless Systems
  • Software Engineering and Programming
  • Energy Conversion, Renewable Engergy and Smart Grids
  • Digital and Wireless Communications
  • Plasma Engineering
  • Communication Networks and Security
  • High Voltage Engineering
  • Power Generation, Transmission and Distribution
  • Advanced Signal Processing
  • Advanced Systems Modelling and Control

or modules from the Year Three options list not previously taken

Year Five Compulsory Modules

  • Image Processing (ELEC319)
    Level3
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    To introduce the basic concepts of digital image processing and pattern recognition.

    Learning Outcomes

    ​After successful completion of the module, the student should have:

    • An understanding of main principles of digital image processing, and its relation to pattern recognition in images, object detection,  tracking and machine vision.
    • An appreciation of the areas of applications for various image enhancement techniques.

    ​After successful completion of the module, the student should have:

    • An understanding of the standard methods of image manipulation, representation and information extraction.

  • Microprocessor Systems (ELEC422)
    LevelM
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting0:100
    Aims

    This module provides an understanding of the construction and operation of microprocessor based systems. Students are introduced to programming at low level and interfacing microprocessors to other components.

    Learning Outcomes

    ​On successful completion of the module students should have sufficient skill in both hardware and software to be able to use microprocessors in typical engineering applications.

    ​On successful completion of the module students should be able to programe the Cortex M series in Assembly Language.

    ​On successful completion of the module students should be able to interface additional components to the AHB-Lite bus and understand the operation of the AHB-Lite bus.

    ​On successful completion of the module students should be able to use a real-time operating system to create a multithreaded program runing on a Cortex M series device.

  • Meng Group Project (eee) (ELEC450)
    LevelM
    Credit level30
    SemesterWhole Session
    Exam:Coursework weighting0:100
    Aims
    • (Along with other theoretical and practical studies) to enable each of the programmes to meet the requirements of the professional institutions'' EA2 (Engineering Applications), defined as follows:  Application of scientific and engineering principles to the solution of practical problems of engineering systems and processes.  Emphasis on the relevance of theory and analysis including the ability to develop and usetheoretical models from which the behaviour of the physical world can bepredicted.
    • To contribute to meeting the requirements of the professional institution on Engineering Practice, covering issues related to IP, commercialisation, quality and environment.
    • To provide experience of all aspects of working as a team.
    • To complete an engineering task with a complexity that is comparable with these encountered in industry.
    Learning Outcomes
  • Digital System Design (ELEC473)
    LevelM
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting20:80
    Aims

    To provide students with the ability to:

    • Design and synthesise digital systems using Verilog and ASM.
    • Understand the problems of meta-stability in digital systems.
    • Design microprocessors using ASM techniques.
    • Develop and test customised NIOS II systems using Altera''s System on a Programmable Chip (SOPC) builder tool and Software Build Tools (SBT)..
    Learning Outcomes

    ​Ability to design digital systems using the ASM design method.

    ​Ability to implement digital systems using the Verilog Hardware Description Language.

    ​Understanding the internal operation of a MIPS processor.

    ​Ability to implement a SOPC system using Quartus Nios-II.

  • Computational Intelligence (ELEC475)
    LevelM
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims
  • ​Understand the basic structures and the learning mechanisms underlying neural networks within the field of artificial intelligence and examine how synaptic adaptation can facilitate learning and how input to output mapping can be performed by neural networks.
  • Obtain an overview of linear, nonlinear, separable and non separable classification as well as supervised and unsupervised mapping.

  • Understand the benefit of adopting naturally inspired techniques to implement optimisation of complex systems and acquire the fundamental knowledge in various evolutionary techniques.

  • ​Become familiar with the basic concepts of systems optimisation and its role in natural and biological systems and entities.​
  • Learning Outcomes​Learning  the advantages and main characteristics of neural networks in relation to traditional methodologies. Also, familiarity with different neural networks structures and their learning mechanisms.
    ​​​​Appreciation of the advantages of evolutionary-related approaches for optimisation problems and their advantages compared to traditional methodologies. Also, understanding the different techniques of evolutionary optimisation for discrete and continuous configurations.
    ​Understanding of the needs for genetic encoding and modelling for solving optimisation problems and familiarisation with the evolutionary operators and their performance.​​​​​​Understanding of the neural network learning processes and their most popular types, as well as  appreciation of how neural networks can be applied to artificial intelligence problems.
  • Advanced Systems Modelling and Control (ELEC476)
    LevelM
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting80:20
    Aims

    The module is to introduce advanced system analysis and design techniques to the students and to develop the skills of considering engineering problems from system point of view. The aims of the module are:

    To learn the skills required for system modelling and simulation. To extend the students knowledge from time-driven system to even-driven system modelling and simulation, which covers modelling and simulation of stochastic processes.

    • To understand the principle of advanced control systems.
    • Understand principles of basic adaptive and learning systems and their applicaitons.
    • Select appropriate adaptive systems and/or learning algorithms to deal with a specific engineering problem.
    • Develop software packages using MATLAB to resolve an adaptive and/or learning problem.
    • Gain their own knowledge of the subjects of adaptive and learning systems for further development.
    Learning Outcomes

    ​After successful completion of the module, the student should have:


    An understanding of how time and event driven systems can be represented by mathematical modules.

    An understanding of how computer simulation can be implemented to help system analysis and design.

    An appreciation of how computer-aided design and simulation tools operate.

    An understanding of how random number and random process can be simulated.

    An understanding of discrete time Markov process modelling and simulation.

    An appreciation of the system optimisation.

    The principle of advanced control system design.

    An appreciation of the advantages of system identification approached to problems of industrial modelling and control and adaptive controller design by contrast to the traditional methodologies.

    A familiarity with system identification and parameter estimation of dynamic systems.

    An understanding of the system identification and adaptive control techniques.

    An ability to use the MATLAB software to model a linear dynamic system and design an adaptive controller.

    An appreciation of how adaptive control theory can be applied to various industrial systems.

    A basic understanding of stochastic automata and their applications.​

  • Management of Design (MNGT413)
    LevelM
    Credit level7.5
    SemesterSecond Semester
    Exam:Coursework weighting85:15
    Aims

    To enable students to develop a general understanding of a wide range of aspects of the design function in a manufacturing company and its management, and in particular a comprehensive understanding of the Design Process.

    The core of the module is a detailed study of a six-phase model of the Design Process derived from several authors and BS7000: Product Planning and Feasibility; Design Specification; Conceptual Design; Embodiment Design; Detail Design; Post-Design-Release.

    Learning Outcomes

Year Five Optional Modules

  • Power Generation, Transmission & Distribution (ELEC401)
    LevelM
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting75:25
    Aims

    • To give students a generalised view of the structure of a power system.
    • To develop the ability to analyse the steady-state and transient operation of an integrated power system in terms of the electrical and other constraints on power flow.
    • To introduce the basic principles of fault analysis and electrical safety regulations.
    • To familiarise students with some basic concepts of power electronics and to provide them with the tools to design some basic circuits.
    • To understand the principles of operation of power converters.
    • To show how power electronics and machines are complementary components of drive or generating systems, through examples of practical applications.
    Learning Outcomes

    • An advanced understanding of the nature of the load on a power system and the way in which power is supplied by generators and transmitted to consumers. 
    • A clear understanding of how synchronous generators (alternators) interact with a power system in both normal and fault conditions. 
    • Knowledge of how these generators are interconnected by the high-voltage transmission grid. 
    • Advanced knowledge of complex power flow in a network. 
    • An understanding of the matrix analysis of the network and load flow analysis. 
    • Good command of the per-unit system in the analysis of large power systems. 
    • A clear understanding of the consequences of different faults on transmission and distribution networks. 
    • Good awareness of general electrical safety issues.​

    • An advanced understanding of AC-DC uncontrolled and controlled rectifiers. 
    • An understanding of pulse width modulation to control voltage and its development into switching DC-DC supplies. 
    • An understanding of the AC(-AC) voltage control. 
    • An advanced understanding of the electronic generation of AC from DC and the ability to vary frequency. 
    • An understanding of variable speed DC and AC drives. 
    • A clear understanding of the fundamental ON-OFF nature of power electronic switches and how they are controlled to vary voltage levels and frequency. 
    • Advanced knowledge of various applications of power electronics in power systems and renewable energy.​​
  • High Voltage Engineering (ELEC407)
    LevelM
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting80:20
    Aims
    1. The module aims to provide students with:

      (1)  knowledge of the role and importance of high voltage engineering and insulation in power delivery systems. and ​a clear understanding of the underlying theories and principles in relation to network transients, insulation degradation and operation of modern advanced  electrical apparatus.

    (2) ​opportunities to develop subject specific and transferrable skills in deriving technical solutions in response to system requirements and safety risks.

    (3) appreciation of practically important issues in executing industrial projects and the latest research development in relation to modelling and experiment of gas discharges.

    Learning Outcomes

    ​​On successful completion of the module, students are expected to:


    (1) have knowledge of the history of power generation and high voltage engineering and their current development trend, especially high voltage direct current (HVDC) transmission systems.

    ​(2) understand the objectives of insulation design and high voltages testing.

    ​(3) have in-depth knowledge in electrical discharge mechanisms and breakdown in gases, liquids, and solid materials including air, SF6, oil and polymer materials.

    ​(4) be familiar with high voltage testing systems including high voltage generation circuits, voltage waveforms, test systems, and methods of voltage and current measurement.

    ​(5) gain knowledge and understanding of the operation principles of modern electrical apparatuses including circuit breakers, insulators, transformers, surge arrestors, etc and develop skills for the design of test systems and test strategy for these apparatuses.

    (6) ​understand the technical challenges associated with insulation behaviour of polymer material under HVDC stress.

  • Radio Propagation for Wireless Systems (ELEC411)
    LevelM
    Credit level7.5
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims
  • To develop an appreciation and understanding of radio propagation mechanisms.

  • ​To introduce and apply radio propagation models to applications​

  • Learning Outcomes

    ​Ability to solve basic radio propgation problems

    ​​Ability to conduct radio system coverage and planning

  • Information Theory and Coding (ELEC415)
    LevelM
    Credit level7.5
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims

    To introduce the techniques used in source coding and error correcting codes, including the use of information as a measure.

    Learning Outcomes

    ​After successful completion of the module the student should have:
    An appreciation of information sources and of the information rates
       available on real channels.
    An appreciation of techniques for making the best use of channels for
        efficient transmission with error protection.

    After successful completion of the module the student should have:
    An understanding of the basic methods of source coding and error
        correcting codes
  • Software Engineering and Programming (ELEC431)
    LevelM
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting0:100
    Aims

    This module aims to equip students with knowledge of two most popular programming languages, C++ and MATLAB, an understanding of the Functional Decomposition method for program design, and practical skills of designing and coding software for engineering applications based on a problem specification.

    Learning Outcomes

    Knowledge and Understanding

    On successful completion of the module, students should be able to demonstrate their

    • appreciation of software as an "engineered product" and its development procedure;
    • understanding of established engineering principles, such as abstraction, modularity and information hiding;
    • knowledge of MATLAB and C++ as programming languages commonly used for enginnering computation and modelling, and their pros and cons for different applications requirements.
    • knowledge of logic structures, data types, user sub-routines (functions), operater precedancy, and the availability of special functions or tool boxes in MATLAB for signal analysis, image processing, filter design, and simulation of electrical systems.

    Intellectual Abilities​

    On successful completion of the module, students should be able to
    • analyse and determine the suitability of a programming language based on the nature of the problem;
    • based on relevant software engineering principles, decompose a problem specification into well defined functional blocks (modules) and design the overall program structure;
    • propose coding algorithms based on their knowledge of the programming languages to efficiently implement the software design;
    • design and carry out a test strategy to assess the soundness of the software and make subsequent improvement to design and code;
    • choose and correctly use appropriate tool boxes or functions for a given computational or data processing need in Matlab.
  • Energy Conversion, Renewable Energy & Smart Grid (ELEC435)
    LevelM
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting50:50
    Aims

    To develop a good understanding of different renewable energy sources and the principle of energy conversion from renewable sources into electricity.

    To develop an appreciation of the operation of a micro grid and basic principle of smart grid technologies and associated engineering.

    To gain a good understanding of the reality of the energy and power systems in industry.

    Learning Outcomes

    ​Knowledge of wind, wave, solar and hydropower energy sources, their energy density and its effects on land usage and an introduction to the theory of conversion from the original form to the electrical energy.​

    ​An appreciation of typical configuration of wind power generation systems including wind turbine, generator and power electronic converters and how the wind power generation system operated and connected with the power grid.​

    ​Knowledge of micro-grid​ embedded with renewable energy sources and the operation of an active distribution networks.​

    An appreciation of smart grid technologies and applications of smart meters and active demand management.​

    ​Reliablity and stability of power systems, inlcuding rotor-angle stability, frequency stability, and voltage stability, and how will those terms envolve under smart grid technologies. 

  • Commmunications Networks & Security (ELEC461)
    LevelM
    Credit level15
    SemesterSecond Semester
    Exam:Coursework weighting100:0
    Aims
  • ​To introduce the principles of communications networks, their components and protocols.   ​
  • ​​To provide students with the tools and techniques to analyse the performance of the main communications protocols, including: link layer, MAC layer, Network Layer (IP) including the main routing protocols, the transport control protocol (TCP), and basic packet queuing theory.
  • To provide an overview of the main topic areas in network/Cyber secuity including firewalls, intrusion detection and prevention systems, key ciphers and applied cryptogrphy, and secure sockets layer (SSL).​

  • Learning Outcomes​​​​Knowledge and Understanding:

    On successful completion of the module, students should be able to demonstrate knowledge and understanding of:

    - The structure of communications networks and how these can be described and analysed using standard reference models (OSI, TCP/IP).

    - The common protocols used over the major  wired and wireless networks, and ther Interent. 

    - The concept of quality of service (QoS) as applied to networks, and the techniques for implementing it.

    - The essential parts of an Interent router and the main routing protocols used over the Interent.

    - The basic issues concerning how to secure networks and the techniques used to address these.

    ​​​​​​

    ​Intellectual Abilities:

    On successful completion of the module, students should be able to​ demonstrate the ability to apply their knowledge of the above topics to:

    - Design and analyse communications networks

    - Analyse the behaviour, and predict the performance of the communications protocols they have learned.

    - Analyse and predict the behaviour of queues in packet switched networks.

    - Analyse and predict the performance of common Internet routing algorithms when applied to differnt network topologies. 

    - Analyse QoS for communications networks. 

    - Analyse the security requirements for specific networks and network configurations.

  • Advanced Signal Processing (ELEC474)
    LevelM
    Credit level15
    SemesterWhole Session
    Exam:Coursework weighting75:25
    Aims
    • To develop higher level signal processing techniques and apply them to some problems.
    • To develop different types filters and demonstrate their applications.
    Learning Outcomes

    Onsuccessful completion of this module the student should be able to explainconcepts of time and frequency domain descriptions of signals.

    Onsuccessful completion of this module the student should be able to describe,use and design ''fixed'' filter for different types of noise reduction tasks.

    ​​

    Onsuccessful completion of this module the student should be able to explainand use auto-correlation and cross-correlation.

    Onsuccessful completion of this module the student should be able to describe,use and design linear predictor and matched filter, and explain theirapplications.

    Onsuccessful completion of this module the student should be able to describe,use and design FIR Wiener filters for different tasks, and explain theirapplications.​

    Onsuccessful completion of this module the student should be able to describe,use and design FIR adaptive filters, and explain their applications.

    Onsuccessful completion of this module the student should be able to describe,use and design Kalman filters.
  • Advanced Systems Modelling and Control (ELEC476)
    LevelM
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting80:20
    Aims

    The module is to introduce advanced system analysis and design techniques to the students and to develop the skills of considering engineering problems from system point of view. The aims of the module are:

    To learn the skills required for system modelling and simulation. To extend the students knowledge from time-driven system to even-driven system modelling and simulation, which covers modelling and simulation of stochastic processes.

    • To understand the principle of advanced control systems.
    • Understand principles of basic adaptive and learning systems and their applicaitons.
    • Select appropriate adaptive systems and/or learning algorithms to deal with a specific engineering problem.
    • Develop software packages using MATLAB to resolve an adaptive and/or learning problem.
    • Gain their own knowledge of the subjects of adaptive and learning systems for further development.
    Learning Outcomes

    ​After successful completion of the module, the student should have:


    An understanding of how time and event driven systems can be represented by mathematical modules.

    An understanding of how computer simulation can be implemented to help system analysis and design.

    An appreciation of how computer-aided design and simulation tools operate.

    An understanding of how random number and random process can be simulated.

    An understanding of discrete time Markov process modelling and simulation.

    An appreciation of the system optimisation.

    The principle of advanced control system design.

    An appreciation of the advantages of system identification approached to problems of industrial modelling and control and adaptive controller design by contrast to the traditional methodologies.

    A familiarity with system identification and parameter estimation of dynamic systems.

    An understanding of the system identification and adaptive control techniques.

    An ability to use the MATLAB software to model a linear dynamic system and design an adaptive controller.

    An appreciation of how adaptive control theory can be applied to various industrial systems.

    A basic understanding of stochastic automata and their applications.​

  • Digital and Wireless Communications (ELEC477)
    LevelM
    Credit level15
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims
    • To provide an extensive coverage of the theory and practice of digital and wireless communication systems
    • To allow students to be able to design and develop digital and wireless communication systems, with an awareness of all the main factors involved and of existing and emerging technologies.
    Learning Outcomes

    ​On successful completion of the module, students should be able to demonstrate a knowledge in applying the module topics to:
    Specify the requirements for a digital or wireless communication system
    Design the optimum receiver for a communication system
    Analyse the performance of a communication system
    Critical thinking ability from evaluating and responding to issues such as unachievable or impractical specifications and impossible performance claims.

    ​After completion of the module, the student should have a good knowledge and understanding of:
    The nature of data and how it is stored and communicated.
    The limitations imposed on communication system performance and design by various factors
    How noise arises in communications systems, and its effects of noise upon communications system behaviour and performance.
    Sources and effects of mobile radio propagations.
    Design of the optimum receiver and analysis of error probability for digital communications
    How to achieve the goals of a communication system by trading off system parameters such as signal-to-noise ratio, error probability and bandwidth expenditure
    Various multiuser communication techniques

  • Plasma System Engineering (ELEC491)
    LevelM
    Credit level7.5
    SemesterFirst Semester
    Exam:Coursework weighting100:0
    Aims

    To develop an appreciation and understanding of industrial plasma discharges and associated engineering.

    Learning Outcomes

    ​Demonstrate knowledge and understanding of the basic physical processes in plasmas relevant to industry and the uses for industrial plasma technology.

    ​Apply knowledge in the analysis of plasma creation and sustainment, its basic physical properties, its interaction with substrates and its use to produce desired technological outcomes.

The programme detail and modules listed are illustrative only and subject to change.


Teaching and Learning

All programmes are taught over two semesters with examinations at the end of each semester. Modules vary from those which are assessed by examination only to others which are continuous assessment only. All programmes incorporate a substantial practical component, with an increasing emphasis on project work as you progress through to the final year. You can select your final year individual project in consultation with members of staff.