Telecommunications and Wireless Systems MSc (Eng)

  • Programme duration: Full-time: 12 months   Part-time: 24 months
  • Programme start: September 2020
  • Entry requirements: You will need a 2:1 or equivalent degree in a related field, for example Mathematics, Engineering or Physical Sciences.
Telecommunications and Wireless Systems msc eng

Module details

Compulsory modules

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

(LO1) On successful completion of this module the student should be able to explain concepts of time and frequency domain descriptions of signals.

(LO2) On successful completion of this module the student should be able to describe,use and design 'fixed' filter for different types of noise reduction tasks.

(LO3) On successful completion of this module the student should be able to explainand use auto-correlation and cross-correlation.

(LO4) On successful completion of this module the student should be able to describe,use and design linear predictor and matched filter, and explain theirapplications.

(LO5) On successful completion of this module the student should be able to describe,use and design FIR Wiener filters for different tasks, and explain theirapplications.

(LO6) On successful completion of this module the student should be able to describe,use and design FIR adaptive filters, and explain their applications.

(LO7) On successful completion of this module the student should be able to describe,use and design Kalman filters.

(S1) Critical thinking and problem solving - Critical analysis

(S2) Numeracy/computational skills - Problem solving

(S3) Improving own learning/performance - Self-awareness/self-analysis

(S4) Research skills - Awareness of /commitment to academic integrity

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

(LO1) 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.

(LO2) 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.

(S1) On successful completion of the module, students should be able to show experience and enhancement of the following key skills: Independent learning Problem solving and design skills

(S2) Practical Skills:On successful completion of the module, students should be able to show experience and enhancement of the following key skills:- General mathematical and IT skills.- The ability to analyse and configure networks and protocols.

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

(LO1) 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.

(LO2) 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.

(S1) On completion of the module students should be able to show experience and skills in software design based on functional decomposition method; design and coding C++ classes as part of Object oriented program design; converting a software design into programs written in both C++ and MATLAB; using MATLAB to perform matrix calculation and generating high quality visualisation of a given data set. using SIMULINK to model electrical and electronic systems.

(S2) On completion of the module students should be able to show experience and enhancement in software design using different programming languages; project organisation and problem solving; exploring the functionality of emerging Matlab toolboxes and C++ libraries through independent study.

Research Skills and Project Management (ELEC483)
LevelM
Credit level15
SemesterWhole Session
Exam:Coursework weighting0:100
Aims

To provide students with the necessary background information so that they will be able to satisfactorily research, plan and undertake their project.

Learning Outcomes

(LO1) Ability to demonstrate and appreciate the importance of communicating technical/scientific information.

(LO2) Ability to demonstrate and appreciate the importance formalising the organisation and planning of project work

(LO3) Capable of collecting and assessing the resources required to complete a project and presenting their findings in both oral presentation and written reports

(LO4) Determining the critical path in the planning of a project

(LO5) Show use of methodologies for organising and planning project workcommunicate via executive summaries, technical reports and oral presentationsanalysing and synthesise research data

(S1) On successful completion of the module, students should be able to show use of methodologies for: organising and planning project work; communicate via executive summaries, technical reports and oral presentations; analysing abd synthesise research data

(S2) On successful completion of the module, students should be able to show experience and enhancement of the following key skills: Independent learning; Problem solving and design skills

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

(LO1) Ability to solve basic radio propagation problems.

(LO2) Ability to conduct radio system coverage and planning.

(S1) On successful completion of the module, students should be able to show experience and enhancement of the following key skills: independent learning, problem solving and design skills.

(S2) On successful completion of the module, students should: be capable of calculated propagation characteristics and of performing system link calculations; be able to design radio communications circuits involving single-hop propagation via the ionosphere based on a knowledge of its key parameters.

(S3) On successful completion of the module, the student should be able to: apply their knowledge in the analysis of plane wave propagation in lossless media as well as to adapt this to situations involving reflection from complex, planar objects and refraction from the ionosphere.

(S4) After successful completion of the module, the student should be able to: demonstrate their knowledge and understanding of electromagnetic propagation in free space and in ionized media.

MSc Project (ELEC460)
LevelM
Credit level60
SemesterSummer (June-September)
Exam:Coursework weighting0:100
Aims

The student will carry out an individual project under the supervision of a member of staff. He/she will report findings both orally and in writing.

The purpose of the project is: to provide students with the opportunity to plan, carry out and control a research project at the forefront of their academic discipline, field of study or area of professional practice;

To prepare students for research or investigative work in professional engineering;

To enable students to gain a comprehensive understanding of the techniques applicable to research or advanced scholarship in their field of study;

To make an original contribution to knowledge.

The dissertation must provide evidence of: in-depth understanding of the subject mastery of research techniques, ability to assemble and analyse data, ability to evaluate the project outcomes.

Learning Outcomes

(LO1) Ability to plan and conduct independent research.

(LO2) Ability to present research findings in reports and oral presentations.

(S1) On successful completion of the project, students should be able to show experience and enhancement of the following keyskills: Dealing with complex issues in a systematic and creative manner, Effectively communicating findings orally and in writing to specialist and non-specialist audiences; Planning and implementing tasks autonomously at a professional level; Interacting effectively with others (eg, supervisor, technicians, etc) ; Designing poster/web pages ; Computing and IT skills (scope-dependent); Self-discipline, self-motivation, self-direction and originality in tackling and solving problems.

(S2) On successful completion of the project, the student should be able to show experience and enhancement in some of the following discipline-specific practical skills (depending on the scope of the project): Using sophisticated research equipment to carry out experimental/laboratory/workshop activities with due regard to safety; Using appropriate engineering analysis software and IT tools.

(S3) On successful completion of the project,the student should be able to demonstrate ability in several of the following: Critically evaluating current research and advanced scholarship; Defining/specifying a problem; Researching and information-gathering; Planning/designing experimental work using suitable techniques and procedures with due regard to safety; Assessing and managing risk ; Analysing technical problems qualitatively and/or quantitatively and drawing conclusions; Designing a system,component or process based on an outline or detailed specification; Assembling and analysing data and drawing conclusions; Evaluating current methodologies and (where appropriate) propose new methodologies; Critically evaluate the project outcomes an making an original contribution to knowledge.

(S4) The project is intended to provide experience of all aspects of working as an individual engineer to complete an engineering task with a complexity that is comparable with these encountered in industry.

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

(LO1) 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.

(LO2) After successful completion of the module the student should have: An understanding of the basic methods of source coding and error correcting codes.

(S1) Critical thinking and problem solving - Critical analysis

(S2) Critical thinking and problem solving - Evaluation

(S3) Critical thinking and problem solving - Problem identification

Wireless Systems and Cad Designs (ELEC462)
LevelM
Credit level15
SemesterWhole Session
Exam:Coursework weighting65:35
Aims

This module aims to introduce the main components in a typical wireless communication  system; enable students  to understand the fundamental of Radio Frequency engineering; prepare students with the knowledge of theoretical design and simulation; enable students to use industrial standard software to develop sophisticated wireless communication systems.

Learning Outcomes

(LO1) Knowledge and Understanding:
After successfully completing the module, a student should have an understanding of:  
essentials of wireless systems;oscillators  and mixers;microwave filters;microwave amplifiers;antennas and link budget;communication systems design.

Intellectual Abilities:
After successful completion of the module, the student should be able to understand the fundamentals of RF transmitters and receivers for wireless communication systems.

Practical Skills:
Students passing the module should acquire the ability to: use at least one standard industrial software ADS for Microwave Office; design and test fundamental RF components including filters, amplifiers and antennas; evaluate the performance of wireless communication systems.

General Transferable Skills:
On successful completion of the module, students should be able to show experience and enhancement of the following key skills: independent learning;problem solving and design skills.

(S1) Problem solving skills

(S2) Commercial awareness

(S3) Numeracy

(S4) Organisational skills

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

(LO1) 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.

(LO2) 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.

(S1) Time and project management - Personal organisation

(S2) On successful completion of the module, students should be able to show experience and enhancement of the following discipline-specific skills: Applying signal and system design to the engineering problems associated with communication systems, e.g., how to combat wireless fading channels, Identifying the channel degradation sources and their effects in a communications system, Simulation of a communication system via MATLAB.

(S3) Critical thinking and problem solving - Critical analysis

(S4) Critical thinking and problem solving - Problem identification

(S5) Critical thinking and problem solving - Creative thinking

Optional 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

(LO1) 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.

(LO2) After successful completion of the module, the student should have: An understanding of the standard methods of image manipulation, representation and information extraction.

(S1) On successful completion of the module, students should be able to show experience and enhancement of the following key skills: Independent learning Problem solving and design skills

(S2) After successful completion of the module, the student should have: The ability to apply relevant image enhancement techniques to a given problem. The necessary mathematical skills to develop standard image processing algorithms.

Advanced Embedded Systems (ELEC470)
LevelM
Credit level15
SemesterWhole Session
Exam:Coursework weighting85:15
Aims

This module covers material for understanding and designingadvanced embedded computer systems.

Key topics include computer architecture, low-powerdesign, hardware/software co-design and logic synthesis techniques.

Learning Outcomes

(LO1) Students will achieve a full understanding of modernembedded systems including computer architecture, low-power design, hardware/softwareco-design and logic synthesis techniques.

(LO2) On successful completion the student should be able to understand published data concerning use of typical computer system design and components.

(S1) On successful completion of the module, students should be able to show experience and enhancement of the following key skills: Independent learning, Problem solving and design skills.

(S2) On successful completetion the student should be able to understand published literature on topics related to low-power embedded systems.

(S3) After scuccessful completion of the module, the student should have: an understanding of the internal operation of CPU, computer architecture, low-power design techniques, hardward/software co-design and logic synthesis techniques.

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 applications.
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

(LO1) 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.

(S1) on successful completion of the module, students should be able to show experience and enhancement of the following key skills: Independent learning
Problem solving and design skills

(S2) After successful completion of the module, students will have skills to develop software programs for complicated mixed time-and-event-driven systems. on successful completion of this module the student should have practical skills of using MATLAB System Identification Toolbox to achieve the system modelling of basic engineering systems and to design a basic adamptive learning system for engineering problems.

(S3) After successful completion of the module, the students should be able to demonstrate ability in applying knowledge of the module topics to: Develop mathematical models for both time-driven and event-driven systems. Analyse the systems described by Markov process. Model, simulate, and validate random processes. Design simulation programs for particularly specified systems. Understand the methods of system optimisation and adaptive control design. On successful completion of this module the student should be able to pursue the further study by themselves in this subject and relevant areas.

(S4) 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.

Integrated Circuits - Concepts and Design (ELEC472)
LevelM
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

(LO1) Appreciation of MOS based integrated circuit design philosophy: power, speed, yield, packing density considerations and of design trade-offs associated with materials, device and circuit limitations.

(LO2) Knowledge of how to analyse and design simple MOS logic gates and amplifier stages.

(LO3) Appreciation of historical and future development of silicon based integrated circuit technology.

(LO4) Knowledge of silicon integrated circuit technology.

(LO5) Appreciation of some IC design issues.

(LO6) Ability to use a professional design tool (Cadence) to design, layout and test by simulation digital circuit cells.

(S1) On successful completion of the module, students should be able to show experience and enhancement of the following key skills: Independent learning. Problem solving and design skills.

(S2) On successful completion of the module the student will have the skill to use a professional, unix based design suite, Cadence

(S3) On successful completion of the module, students should be able to demonstrate ability in applying knowledge of the module topics to Ability to use a professional design tool (Cadence) to design, layout and test by simulation digital circuit cells.

(S4) On successful completion of the module the student is expected to have: Appreciation of MOS based integrated circuit design philosophy: power, speed, yield, packing density considerations and of design trade-offs associated with materials, device and circuit limitations. Knowledge of how to analyse and design simple MOS logic gates and amplifier stages. Appreciation of historical and future development of silicon based integrated circuit technology.Knowledge of silicon integrated circuit technology. Appreciation of some IC design issues.

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 Outcomes

(LO1) Knowledge and understanding of electronic to optical and optical to electronic conversion and associated devices.

(LO2) An understanding of power transfer, modulation transfer function, system transfer function and optical data storage

(LO3) An understanding of information transfer via optical intensity and phase modulation.

(LO4) Knowledge and understanding of the duality of light.

(LO5) An appreciation of how to manipulate light rays and an appreciation of intensity and phase related effects of light.

(S1) On successful completion of this module, the student should be able to show experience and enhancement of the following key skills: Independent learning Problem solving and design skills.

(S2) On successful completion of this module, the student should be able to: Design simple photonic systems and design simple optical information systems.

(S3) On successful completion of this module, the student should be able to:
Undertake calculations on individual components in a photonic system.
Calculate the modulation and transfer characteristics of simple photonic systems.
Provide an analysis of the overall system performance.
Assess the contributions that limit perfomance of individual components and the optical system.
Undertake calculations for simple optical information systems. Provide an assessment of the practical limiting factors in such systems.
Provide an alternative design to satisfy different specifications.

(S4) On successful completion of this module, the student should have: Knowledge and understanding of electronic to optical conversion and the associated devices.
Knowledge and understanding of optical to electronic conversion and the associated devices.
An appreciation of how to manipulate light rays.
An understanding of power transfer, modulation transfer function, system transfer function and optical data storage.
Knowledge and understanding of the duality of light.
An appreciation of intensity and phase related effects of light.
An appreciation of the limits of information transfer by optical systems.
An understanding of how information may be transferred via optical intensity and phase modulation.

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

This module aims to introduce students to the fundamental concepts of high frequency electromagnetics; to present and develop the underlying theory of transmission lines (TX), including lossy TX; to introduce the Smith Chart as an important tool in TX design and analysis; to give an appreciation of the importance of computational electromagnetics its role in industrial applications; to give a clear understanding of impedance matching and related techniques; to introduce the concept of the scattering parameters for 2-port networks and their applications and measurements; to understand radio wave propagation, attenuation and reflection; and to enable students to appreciate the basic understanding of RF filter, antenna and amplifier design.

Learning Outcomes

(LO1) The essentials of RF engineering and applied EM. The circuit and field concepts and their relevance to RF systems.

(LO2) 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.

(LO3) Reflection coeffiecients, VSWR,and return loss in communication systems

(LO4) The methods of achieving matched conditions for maximum power transfer.

(LO5) S- parameters and their measurement and applications.

(LO6) An appreciation of radio propagation and antennas.

(LO7) Fundamental knowledge of RF components and devices, such as filters and amplifiers, for modern communicaiton systems.

(S1) Problem solving skills

(S2) Numeracy

(S3) Lifelong learning skills

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

(LO1) The ability and understand the operation and fuctions of antennas

(LO2) The ability to design basics antennas

(S1) On successful completion of the module, students should be able to show experience and enhancement of the following key skills:Independent learningProblem solving and theoretical design skills

(S2) On successful completion of the module the student should be able to:-Apply their theoretical knowledge to the design and evaluation of simple antenna systems.

(S3) On successful completion of the module, students should be able to:Demonstrate their ability to analyse simple antenna systems.

(S4) After successful completion of the module, the student should be abe to: Demonstrate their familiarity with fundamental antenna concepts such as near and far fields and their distribution, radiation resistance and its calculation, radiation patterns and their relationship to antenna gain as well as the relationship between gain and directivity. Demonstrate the manipulation of Maxwell's equations which underpin these concepts that are fundamental to the module.

Electromagnetic Compatibility (ELEC382)
Level3
Credit level7.5
SemesterSecond Semester
Exam:Coursework weighting100:0
Aims

The module is aimed to provide the students with advanced knowledge and skills to deal with EMC problems.

The students are expected to master the  fundamental EMC principles and concepts based on the underlying electromagnetic theory.

To study  EMC standa rds and regulations, and be able to apply them to real world problems.

To be able to use advanced theory too analyse EMC problems.

To be able to conduct EMC measurements and tests, and also interprete the results.

Learning Outcomes

(LO1) An indepth understanding of EMC theory, standards and practice.

(LO2) Ability to conduct EMC tests and analysis.

(LO3) Ability to conduct EMC analysis and designs

(LO4) Knowledge and skills and solve EMC problems

(S1) On successful completion of the module, students should be able to show experience and enhancement of the folowing key skills: Independent learning Problem solving and design skills.

(S2) After successful completion of the module, the student should be able to: Demonstrate their familiarity with the various measurement techniques used to assess the electromagnetic compatibility of both hardware and systems.

(S3) On successful completion of the module, students should be able to: Demonstrate their ability to apply sound EMC analytical and design techniques when dealing with both conducted and radiated interference and times domains, and their applicability to engineering systems, is prerequisite knowledge.

(S4) On successful completion of the module, students should be able to: Demonstrate their knowledge and understanding of the relevant EU regulations governing EMC. Be capable of analysing EMC problems by applying sound electromagnetics principles to networks of current-carrying conductors whether as cable configurations or in circuits/systems involving active and passive devices.