COLLEGE OF ENGINEERING

STUDENT HANDBOOK

2016/17

MSC COMMUNICATION SYSTEMS FHEQ LEVEL 7

RESEARCH CENTRE: SPEC THE SYSTEMS AND PROCESS ENGINEERING CENTRE

PART ONE OF TWO (MODULE AND COURSE STRUCTURE)

DISCLAIMER

The College has made all reasonable efforts to ensure that the information contained within this publication is accurate and up-to-date when published but can accept no responsibility for any errors or omissions.

The College reserves the right to revise, alter or discontinue degree programmes or modules and to amend regulations and procedures at any time, but every effort will be made to notify interested parties.

It should be noted that not every module listed in this handbook may be available every year, and changes may be made to the details of the modules.

You are advised to contact the College directly if you require further information.

The 2016/17 academic year begins on 26 September 2016

DATES OF 2016/17 TERMS

26 September 2016 – 16 December 2016

09 January 2017 – 07 April 2017

01 May 2017 – 16 June 2017

SEMESTER 1

26 September 2016 – 27 January 2017

SEMESTER 2

30 January 2017 – 16 June 2017

WELCOME

We would like to extend a very warm welcome to all students for the 2016/17 academic year and in particular, to those joining the College for the first time.

The University offers an enviable range of facilities and resources to enable you to pursue your chosen course of study whilst enjoying university life. In particular, the College of Engineering offers you an environment where you can develop and extend your knowledge, skills and abilities. The College has excellent facilities, offering extensive laboratory, workshop and IT equipment and support. The staff in the College, many of whom are world experts in their areas of interest, are involved in many exciting projects, often in collaboration with industry. The College has excellent links with industry, with many companies kindly contributing to the College’s activities through guest lectures and student projects. We have close links with professional engineering bodies and this ensures that our courses are in tune with current thinking and meet the requirements of graduate employers. All the staff are keen to provide a supportive environment for our students and we hope that you will take full advantage of your opportunities and time at Swansea.

We hope that you will enjoy the next academic session and wish you every success.

Professor Stephen GR Brown Head of the College of Engineering

Professor Cris Arnold Deputy Head of College and Director of Learning and Teaching

Professor Johann Sienz Deputy Head of College and Director of Innovation and Engagement

Professor Dave Worsley Deputy Head of College and Director of Research

N. B. Please note that you will be assigned a Personal Tutor in Week 1.

INTRODUCTIONThe College has a Student Reception Office which is located in the Engineering EastBuilding. We aim to offer a friendly, welcoming and professional service to all students. Theoffice is able to provide information about student handbooks and timetables, advise on arange of matters and act as a ‘gateway’ to other staff within the College whom you maywish to get in contact with. Should you require administrative support please visit Engineering Reception, open Monday – Friday 8:30am – 5:00pm

Course Coordinator Dr Stefano TaccheoEmail: s.taccheo@swansea.ac.ukEngineering Central, Bay CampusTel. Ext. 2465

MSc (FHEQ Level 7) 2016/17Communication Systems

MSc Communications Systems

Coordinator: Dr S Taccheo

Semester 1 Modules Semester 2 ModulesAT-M51

Signals and Systems10 Credits

Dr P Loskot

AT-M49RF and Microwaves

10 CreditsDr A Mehta

AT-M53Lasers and applications

10 CreditsDr S Taccheo

AT-M76Wireless Communications

10 CreditsDr P Loskot/Dr S Taccheo

AT-M56Digital Communications

10 CreditsDr S Taccheo

AT-M79Optical Networks

10 CreditsDr KM Ennser

AT-M80Optical Communications

10 CreditsDr KM Ennser

EG-M47Entrepreneurship for Engineers

10 CreditsDr RJ Holness

EGIM16Communication Skills for Research Engineers

10 CreditsDr KM Perkins

EGLM03Modern Control Systems

10 CreditsDr CP Jobling

EGNM09Micro and Nano Electro-Mechanical Systems

10 CreditsDr L Li

EG-M63Research Dissertation

10 CreditsDr S Taccheo/Dr TN Croft

Research ProjectAT-M58

MSc Dissertation - Communication Systems60 Credits

Dr S Taccheo

Total 180 Credits

AT-M49 RF and MicrowavesCredits: 10 Session: 2016/17 Semester 2 (Jan - Jun Taught)Module Aims: Enabling students to secure strong understanding of the current microwave and RF communicationtechnologies, both from the theoretical and experimental point of views.

Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 24 hours

Course work lab demonstration 11 hoursOwn directed private study 65 hours

Lecturer(s): Dr A MehtaAssessment: Examination 1 (75%)

Coursework 1 (25%)Assessment Description: Examination and Coursework:

Examination (75%); 2 hour examination - Answer 3 out of 4 questions

Coursework (25%): This is an individual piece of coursework. It focuses on writing a 1500 word report on theexperimental investigations on single arm rectangular spiral antenna. The report should highlight the following:• Measurement of the antenna input impedance at the frequency of 3.3 GHz• Measurement of the reflection coefficient from 3-4 GHz• Measurement of the radiation pattern at 3.3 GHz.• How a VNA Works• How the Satimo Near Field Antenna Measurement facility worksModeration approach to main assessment: Second marking as sampling or moderationFailure Redemption: If rules allow - standard University provision with marks capped. Any failure redemption ofthis module will be by written examination only (100%).Assessment Feedback: Via internet with aid of college examination feedback system. Students are also encouragedto meet the academic for any specific feedback, if required.Module Content:• Modern applications of rf and microwaves• Transmission lines• Antennas• Smart Antennas• Waves• Components (Waveguides, RF switches and RF sources)Intended Learning Outcomes: After completing this module you should:• Understand the application of communication technology for various modern applications, e.g. RFIDs, Satcoms,RAY Gun, and UWB Cancer detection techniques, GPS, 60 GHz radios, etc.• Have an in-depth understanding of transmission line theory, associated equations, smith charts and line impedancetransformation.• Have a thorough understanding and analysis of different antenna types, their characteristics and their designparameters.• Have a detailed understanding of the operation of the smart antenna (phase array antenna) and array factor.• Understand the propagation of electromagnetic waves via various types of mediums.• Understand various microwave components such as waveguides, mixers, switches, circulators, couplers etc.Reading List: Pozar, David M, Microwave engineering / David M. Pozar, Wiley, 2004.ISBN: 9780471448785Pozar, David M, Microwave and RF design of wireless systems / David Pozar, Wiley, 2000.ISBN: 9780471322825Frenzel, Louis E, Principles of electronic communication systems / Louis E. Frenzel, McGraw-Hill, c2008.ISBN:9780073222783Balanis, Constantine A, Antenna theory : analysis and design / Constantine A. Balanis, Wiley-Interscience,c2005.ISBN: 9780471667827Additional Notes:• Notes, worked examples and related materials for this module can be found on Blackboard.• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.

AT-M51 Signals and SystemsCredits: 10 Session: 2016/17 Semester 1 (Sep-Jan Taught)Module Aims: The module aims to introduce and strengthen the advanced engineering mathematical and numericalskills as a prerequisite for other modules in the course. These skills are introduced through a systematic description ofsignals and systems by examining their models as well as properties.

Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures: 22 hours

Directed private study: 78 hoursLecturer(s): Dr P LoskotAssessment: Examination 1 (75%)

Assignment 1 (25%)Assessment Description: Examination and Coursework:

Examination 75% - Standard examination of 2 hours. Answer 3 out of 4 questions. Each question carries 25 marks.

Continuous Assessment (Assignment) 25%: This is an individual piece of coursework to assess numerical softwareskills for a selected signal processing problem.Moderation approach to main assessment: Second marking as sampling or moderationFailure Redemption: If rules allow - standard University provision with marks capped. Failure Redemption of thismodule will be by Examination (100%).Assessment Feedback: Continuous feedback during lectures and by emails, general feedback after examination.Module Content:• Continuous and discrete time deterministic signals in time and frequency domains.• Continuous time systems in time and frequency domains.• Probabilities, random variables, and random processes.• Basics of detection theory.Intended Learning Outcomes: After completing this module you should be able to:• Understand mathematical modelling and analysis of signals and systems in time and frequency domains.• Understand how to describe properties of random signals using probabilities, and other statistical evaluations.• Use Monte Carlo simulations to evaluate system properties with random signals and to verify theoreticalcalculations.• Be able to use mathematical models to solve problems in communications and other engineering disciplines.• Understand the steps in the design process leading to algorithms and their implementation.Reading List: Hsu, Hwei P. (Hwei Piao), Schaum's outline of signals and systems Hwei P. Hsu, McGraw-Hill,2014.ISBN: 0071829466Hsu, Hwei P, Schaum's outlines. Probability, random variables & random processes / Hwei P. Hsu, McGraw-Hill,c2011.ISBN: 9780071632898Hahn, Brian D, Essential MATLAB for engineers and scientists / Brian H. Hahn, Dan T. Valentine, Academic,c2010.ISBN: 9780123748836Valentine, D. T.Hahn, Brian D, ebrary, Inc, Essential MATLAB for engineers and scientists Brian D. Hahn andDaniel T. Valentine, Butterworth Heinemann, 2007.ISBN: 0750684178Additional Notes:• AVAILABLE TO visiting and exchange students.• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.• Lecture notes, worked examples and past papers for this module can be found on Blackboard.

AT-M53 Lasers and applicationsCredits: 10 Session: 2016/17 Semester 1 (Sep-Jan Taught)Module Aims: The aim of this module is to present an advanced treatment of lasers and their applications tomanufacturing, medicine, environmental sensing and security.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures: 20 hours

Example classes/Laboratory work: 2 hours.Directed private study: 80 hours

Lecturer(s): Dr S TaccheoAssessment: Coursework 1 (20%)

Examination 1 (80%)Assessment Description: 1 Home Coursework during semester (20% weight). 2 weeks time to solve. Courseworkwill cover a set of lecturers of the first 4 weeks.

A final 2h exam (80% weight).Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: If rules allow - standard University provision with marks capped. Failure Redemption of thismodule will be by Examination only 100%

For other issues, following university policy (see below):http://www.swan.ac.uk/registry/academicguide/assessmentissues/redeemingfailures/Assessment Feedback: For the examination, students will receive feedback through an Examination FeedbackSummary Sheet which provides both the statistics and analysis of each question.Module Content: * Characteristics of laser light* Light-matter interactions* Line broadening* Threshold for laser oscillation* Gain saturation* Power in laser oscillators* Gaussian beams and optical resonators* Mode locking* Q-switching* Important types of lasers* Optical Amplifiers* Applications to Communications, Manufacturing / Lifescience / Security and Environmental control

Intended Learning Outcomes: After completing this module you should be able to:

* Understand fundamental properties of light, and what distinguishes laser light from other sources

* Understand the basic principles of stimulated and spontaneous emission, which underpin laser operation. Be able toclassify laser systems in the basic categories

* Be able to calculate oscillation threshold, and output power

* Understand the properties of Gaussian beams, and how they relate to modes of laser cavities. Be able to calculatebeam intensity at a focus

* Acquire general knowledge about the most important laser systems, and their areas of applications.

Reading List:Additional Notes: Available to Engineering students

Penalty for late submission of continual asessment assignments: Zero tolerance. Late submission will be given a markof 0% for the assignment.

AT-M56 Digital CommunicationsCredits: 10 Session: 2016/17 Semester 1 (Sep-Jan Taught)Module Aims: This module presents the basic theory needed and used to implement most of the modern opticalcommunication systems currently in use. It considers noise, optimum filtering, modulation formats and their optimalunder various constraints and the design of an optimum receiver. The module also gives an exposure into formationtheory, coding and coded modulation. It forms a good basis for communication system design and for possibleexposure into more specialized advanced topics in communication.Key focus will be on digital communications including optimum receiver design, synchronization, channel capacity,spread spectrum and error detection/correctionsPre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours

Directed private study80 hours

Lecturer(s): Dr S TaccheoAssessment: Examination (80%)

Coursework 1 (20%)Assessment Description: Assessment: examination (80%) and continuous assessment (20%)The examination is worth 80% of the module. 2 hour examination paper; Answer 3 out of 4 questions.Coursework will be answer to general questions on the first part of the program (Lectures 1-6) during a 2 weekwindow.Note: coursework mark will not be used in case of resit.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: If rules allow - standard University provision with marks capped. Failure Redemption of thismodule will be by Examination only 100%. Note: coursework mark will not be used in case of resit.

For other issues, following university policy (see below):

http://www.swan.ac.uk/registry/academicguide/assessmentissues/redeemingfailures/Assessment Feedback: For the examination, students will receive feedback through an Examination FeedbackSummary Sheet which provides both the statistics and analysis of each question.Coursework mark and solutions will be provided within two weeks.Module Content: Performance MetricsComparison of Analog/Digital CommunicationsSpectral Density and Statistic averageNoise in Communications and Ideal FiltersInformation theory & channel capacitysource codingmaximum likelihood receiverThe matched filterdigital signalling through band limited channelsIntended Learning Outcomes: After completing this module you should be able to:• Describe and identify the different binary transmission formats currently in use• Explain the concept of a matched filter and compute bit error rates• Evaluate and compare the performance of M-ary modulation schemes• Analyse and interpret signals in vector spaces• Design optimum receivers making use of likelihood concepts• Design a digital communication system taking typical impairments into account such as noise and fading• Describe the basic elements of information theory including entropy, coding and coded modulation.Reading List: Sklar, Bernard, Digital communications : fundamentals and applications / Bernard Sklar, Prentice-HallPTR, 2001.ISBN: 9780130847881Proakis, John G, Digital communications / John G. Proakis, Masoud Salehi, McGraw-Hill, 2008.ISBN:9780071263788

Additional Notes:• AVAILABLE TO to Visiting and Exchange students.The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.• Notes, worked examples and past papers for this module can be found on Blackboard

AT-M58 MSc Dissertation - Communication SystemsCredits: 60 Session: 2016/17 Semester 3 (Summer Taught)Module Aims: After passing Part One students will need to conduct a research project and write a dissertation.

The module aims to develop fundamental research skills. It comprises the development of supervised research workleading to a dissertation in the field of the Master's degree programme. The specific research topic will be chosen bythe student following consultation with academic staff.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Typically 1 hour per week i.e 10-15 hrs total contact time. Each student is to be supervised in

accordance with the University’s Policy on Supervision, with a minimum of three meetings held. Acareful record should be kept, agreed between supervisor and student, of all such formal meetings,including dates, action agreed and deadlines set.

Lecturer(s): Dr S TaccheoAssessment: Project (100%)Assessment Description: The research project and dissertation forms Part Two of the Masters degree and has a 50%weighting towards the overall degree classification. Information about dissertation preparation and submission can befound at:http://www.swan.ac.uk/registry/academicguide/assessmentandprogress/dissertationpreparationsubmission/

Additionally, students should refer to:http://www.swan.ac.uk/registry/academicguide/postgraduatetaughtawardsregulations/postgraduatetaughtmastersdegrees/17submissionofdissertation/

The word limit is 20,000. This is for the main text and does not include appendices (if any), essential footnotes,introductory parts and statements or the bibliography and index.

Each student is to submit two soft bound copies and an electronic copy of the dissertation (CD with dissertation in Pdfformat) to the College Postgraduate Administration Team by the deadline of 30th September. Each copy must contain:

• a statement that it is being submitted in partial fulfilment of the requirements for the degree;• a summary of the dissertation not exceeding 300 words in length;• a statement, signed by yourself, showing to what extent the work submitted is the result of your own investigation.Acknowledgement of other sources shall be made by footnotes giving explicit references. A full bibliography shouldbe appended to the work;• a declaration, signed by yourself, to certify that the work has not already been accepted in substance for any degree,and is not being concurrently submitted in candidature for any degree; and• a signed statement regarding availability of the thesis.

The dissertation is marked by the supervisor and another member of staff and sent to an External Examiner formoderation. An Internal Exam Board is then held to confirm the mark. Finally, all marks are ratified at the UniversityPostgraduate Taught Examination Board.Moderation approach to main assessment: Universal double-blind markingFailure Redemption: Candidates who fail the dissertation are given an opportunity to resubmit the dissertation within3 months of the result of the examination if a full-time student or 6 months for part-time students. Such students willbe given one formal feedback session, including written feedback on the reasons for failure, immediately followingconfirmation of the result by the University Postgraduate Taught Examination Board. The opportunity to resubmit willonly be offered to students who submit a dissertation and are awarded a fail. Those candidates who do not submit adissertation will not be offered a resubmission opportunity.Assessment Feedback: Informal feedback will be given during regular meetings with supervisors. The supervisorwill also provide an assessment of the project drafting skills during the planning of the dissertation. Work will bereturned according to specified deadlines and accompanied by constructive comment.

A Feedback session will be given to any student who fails their dissertation and is permitted by the Award Board toresubmit their work.

Module Content: Study for the dissertation, which may be based on practical, industrial, or literature work, or anycombination of these, is primarily carried out over a period of about 12 weeks, with the dissertation being submitted atthe end of September. Preparatory work on the dissertation may take place during Part One of the programme butstudents will only be permitted to submit their dissertation following successful completion of Part One.

In conducting the research project and dissertation the student will be exposed to all aspects of modern informationretrieval processes, the organisation and resourcing of research and the organising and presentation of experimentaldata. The student must make inferences on conclusions, based on the evidence provided and supported by the researchwork. Furthermore they must assess the significance of this work in relation to the field and make suggestions abouthow further work could improve or clarify the research problem. The results of the project will be disseminated in asubstantial dissertation demonstrating the student's ability to research a subject in depth.

The student will meet regularly with the supervisor to ensure that the project is well developed and organised.Progress will be monitored.Intended Learning Outcomes: On completion of this module, students should have the ability to:• investigate a research topic in detail;• formulate research aims;• devise and plan a research strategy to fulfil the aims;• carry out research work - undertake a literature search, a laboratory based or computer based investigation or acombination of these;• gather, organize and use evidence, data and information from a variety of primary and secondary sources;• critically analyse information;• make conclusions supported by the work and identify their relevance to the broader research area;• resolve or refine a research problem, with reasoned suggestions about how to improve future research efforts in thefield; and• produce a report (dissertation), with the findings presented in a well organised and reasoned manner.Reading List:Additional Notes: The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of allcoursework andcontinuous assessment.If an extension is deemed appropriate a Postgraduate Taught Masters ‘Application for Extension to the SubmissionDeadline/ Period of Candidature’ Form will need to be submitted as follows:• 31 August – deadline for Part Two students (non-resit students)• 8 November – deadline for Part Two Students (students who had resits)

AT-M76 Wireless CommunicationsCredits: 10 Session: 2016/17 Semester 2 (Jan - Jun Taught)Module Aims: The module introduces statistical signal processing. Specifically, one third is devoted to introductionof estimating random and non-random parameters. The second-third of the module introduces convex optimization. Inthe last part, signal processing techniques are illustrated on problems in optical wireless communications.Pre-requisite Modules:Co-requisite Modules: AT-M51; AT-M56Incompatible Modules:Format: Lectures 20 hours; Directed private study 80 hoursLecturer(s): Dr P Loskot, Dr S TaccheoAssessment: Coursework 1 (15%)

Examination (75%)Coursework 2 (10%)

Assessment Description:Coursework 1 15%: numerical experiments in estimation and convex optimization in Matlab

Coursework 2 10% students will be divided in week 6 into three groups to survey one of the following topics"Use of Optical Wireless as backbone in case of Natural Catastrophes""Use of drone-based optical wireless to cover rural areas""Optical Satellite Links"By week 9 each group will present their survey organizing a ppt presentation of 15 minutes made by all member of thegroup.This will cover ethical and sustainability issues.Resit 100% Exam (coursework mark will not be used)

Examination: 75% Answer 3 out of 4 questionsModeration approach to main assessment: Universal second marking as check or auditFailure Redemption: If rules allow - standard University provisions with marks capped at 40%. Any re-examinationof this module will be by written examination only (100%).

For other issues, following university policy (see below):http://www.swan.ac.uk/registry/academicguide/assessmentissues/redeemingfailures/Assessment Feedback: During dedicated lecture, via email and during office hours.Module Content: • Models of continuous and discrete time systems• General parameter estimation• Linear parameter and signal estimation• Convex optimization• Applications in optical wireless communicationsIntended Learning Outcomes: After completing the module you should be able to:• understand basics of signal processing with focus on parameter estimation• understand estimation of random and non-random parameters and signals• understand basic principles of machine learning• understand how to recognize and solve some common optimization problems• understand the principles of optical free-space propagation• understand the components and the design of optical wireless links• Awareness of the need for a high level of professional and ethical conduct in engineering.• A thorough understanding of current practice and its limitations, and some appreciation of likely new developments.• Ability to apply engineering techniques, taking account of a range of commercial and industrial constraints.• Understanding of different roles within an engineering team and the ability to exercise initiative and personalresponsibility, which may be as a team member or leader.Reading List: Hsu, Hwei P, Schaum's outlines. Probability, random variables & random processes / Hwei P. Hsu,McGraw-Hill, c2011.ISBN: 9780071632898Stephen Boyd and Lieven Vandenberghe, Convex Optimization, Cambridge University Press, 2004.ISBN:0521833783Steven M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory (Vol. 1) and Detection Theory (Vol.2), Prentice Hall, 2001.ISBN: 0130724106

Additional Notes: • AVAILABLE TO Visiting and Exchange students.

• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.

• Notes, worked examples and past papers for this module can be found on Blackboard.

AT-M79 Optical NetworksCredits: 10 Session: 2016/17 Semester 2 (Jan - Jun Taught)Module Aims: This module presents the essential element of modern optical networks, both in backbone andbroadband access scenarios. The module evaluates WDM, the most popular, bandwidth-rich contemporary approachand also others, including optical time multiplexing and photonic packet switching. Relevant client layers are covered.Key demonstrators and field hardened trials are also presented.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours; preparation for assignment 30 hours; directly private study 50 hours.Lecturer(s): Dr KM EnnserAssessment: Examination (75%)

Other (25%)Assessment Description: The module is based on Examination (75%) and Continuous Assessment (25%).Zero Tolerance Penalty for late submission of Continuous Assessment. Late submissions are given Zero (0%) mark.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: If rules allow - standard University provision with marks capped. Failure Redemption of thismodule will be by Examination only (100%).Assessment Feedback: The feedback is provided during lectures whenever possible or during office opening hours.Module Content:• Client layers of optical layer• Network elements and topologies• Local, Access and Metro Networks: Architecture and future trends• Photonic Packet Switching: Optical time division multiplexing (OTDM), photonic switching node design, broadcastOTDM networks and testbeds.• Testbed examplesIntended Learning Outcomes: After completing the module you should be able to:

• Understand different client layers• Evaluate different WDM network elements and topologies including broadcast-and-select and wavelength routingnetworks• Understand and design of optical local, access and metro networks• Analyse photonic packet switching networks and time domain optical networking approaches• Appraise the evolution of modern optical networks through the assessment of key network demonstrators and fieldimplementations.Reading List: Senior, John M, Optical fiber communications : principles and practice / John M. Senior ; assisted byM. Yousif Jamro, Financial Times/Prentice Hall, 2009.ISBN: 9780130326812Ramaswami, Rajiv, Optical networks: [print and electronic book] a practical perspective / Rajiv Ramaswami, KumarSivarajan and Galen Sasaki, Morgan Kaufmann, 2008.ISBN: 9780123740922Stern, Thomas E, Multiwavelength optical networks [electronic book]: architectures, design and control / Thomas E.Stern, Krishna Bala and George Ellinas, Cambridge University Press, 2008.ISBN: 9780511475894Additional Notes:• AVAILABLE TO to Visiting and Exchange students.• Notes, worked examples and past papers for this module can be found on Blackboard.• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.

AT-M80 Optical CommunicationsCredits: 10 Session: 2016/17 Semester 1 (Sep-Jan Taught)Module Aims: This module presents the essential element of modern optical communication systems based on singlemode optical fibres from the core to the access network. The module concentrated on the fundamental properties ofoptical fibres and the principles of operation of systems including WDM based high capacity transport networks. Themodule provides an introduction to modern WDM systems and modulation formats.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures: 25h

Private Study: 75 hLecturer(s): Dr KM EnnserAssessment: Examination 1 (75%)

Other (25%)Assessment Description:Exam = 75% Continuous Assessment = 25%Zero tolerance for late submission

Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: If rules allow - standard University provision with marks capped. Failure Redemption will beby Examination.Assessment Feedback: In the lectures and written reports on examModule Content:• Introduction to optical fibre technology• Enabling technologies: Laser sources and filters, couplers, isolators, circulators, optical multiplexers, opticalamplifiers, dispersion compensators.• Transmission systems: crosstalk, dispersion, fibre nonlinearities, noise and system sensitivity, link power budget,repeater spacing.• Wavelength division multiplexing (WDM) systems and key components• WDM amplifier and system design, coherent detection and polarisation multiplexing.Intended Learning Outcomes: After completing the module you should be able to:

• Understand the optical fibre technology and fundamentals• Evaluate the performance of various enabling technologies used in the modern optical networks• Design optical transmission systems taking into account cross talk, dispersion, fibre nonlinearities and noises• Evaluate transmission performance and link power budget• Operate key components required to develop a basic optical communication systems, and conduct experiments tocharacterise their performance.Reading List: Senior, John M, Optical fiber communications : principles and practice / John M. Senior ; assisted byM. Yousif Jamro, Financial Times/Prentice Hall, 2009.ISBN: 9780130326812Ramaswami, Rajiv, Optical networks: [print and electronic book] a practical perspective / Rajiv Ramaswami, KumarSivarajan and Galen Sasaki, Morgan Kaufmann, 2008.ISBN: 9780123740922Additional Notes: The College of Engineering has a ZERO TOLERANCE penalty policy for late submission ofcoursework and continuous assessment

EG-M47 Entrepreneurship for EngineersCredits: 10 Session: 2016/17 Semester 2 (Jan - Jun Taught)Module Aims: To show the concepts/characteristic behind Enterprise and Entrepreneurs and to demonstrate the skillsallowing an individual or group to operate succesfully in an Entrepreneurial manner in a personal start-up or corporatebusiness environment.

Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures/Workshops - 22 hours

Open door tutorials/workshops - 8 hoursDirected private study 70 hours

Lecturer(s): Dr RJ HolnessAssessment: Group Work - Coursework (80%)

Coursework 1 (20%)Assessment Description: The group assignment will require application of the concepts of entrepreneurship. Theassignment will require the delivery of a presentation and the submission of a lean canvas business plan andsupporting documents.

The individual assignment will consist of a 800 word essay.Moderation approach to main assessment: Partial second markingFailure Redemption:Exam resits according to university regulations.100% coursework.Assessment Feedback: Continous group feedback on "out-comes" of workshops, after submission of course work 1,after completion of presentation and at request during open-tutorials.Module Content: What is an entrepreneur and why enterprise matters; the six dimensions of entrepreneurship,structure and presentation of opportunities, sources and structure of finance, people and teams.

How enterprise is managed internationally, managing early and long-term growth, harvesting and buy-out, sustainingthe flow of ideas within a company, case-studies.Intended Learning Outcomes: Define Enterprise and EntrepreneurshipUnderstand that Entrepreneuship is equally valid in a Corporate environment as in a "start-up" businessBe able to demonstrate how opportunities/ideas can be identified/generatedAnalyse the role of people and what makes a winning teamBe able to contruct a lean canvas business plan and suitable supporting docsUnderstand the myriad sources of finance that can be employed in BusinessDiscuss a case history that lead to successUnderstand that failure can and probably will occur and how to deal with it

Reading List: Mastering enterprise : your single-source guide to becoming an entrepreneur / edited by Sue Birley,Daniel F. Muzyka, FT/Pitman, 1997.ISBN: 0273630318Bridge, Simon, Understanding enterprise : entrepreneurship and small business / Simon Bridge, Ken O'Neill & FrankMartin, Palgrave Macmillan, 2009.ISBN: 9780230552708Additional Notes: The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of allcoursework and continuous assessment

Related assignments are used to assess this module.

EG-M63 Research DissertationCredits: 10 Session: 2016/17 Semester 1 and 2 (Sep-Jun Taught)Module Aims: To enhance student’s ability to review state of the art on a given topic and formulate his/her thoughtsin clear and concise way in the form of a dissertation. .Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 3 hours

Dissertation supervision: 7 hoursDirected private study : 90 hours

Lecturer(s): Dr S Taccheo, Dr TN CroftAssessment: Presentation (10%)

Other (90%)Assessment Description: In semester one the students are expect to identify a set of papers related to theirdissertation topic. At the end of the semester they will deliver a 15 minute presentation. The presentation shouldcontain an introduction to their topic leading to a description of the focus of their final dissertation. It should alsocontain brief details of how the search for the papers was carried out. In addition to the presentation the students areexpected to document containing tabulated details of their search and a 100 word description of the research topic.

The final dissertation is assessed by two examiners and the weighting on this assessment is 90%. Students must alsoattend a 30 minute oral examination to defend their dissertation. Failure to attend the oral examination may result in azero mark for the dissertation.

Candidates enrolled on MSc Communication Engineering and Nanotechnology will be divided in small group to workand discuss the issues but delivery of individual presentation and final coursework is required.Marks will consider by 70% presentation and technical contents. The following 30% will subdivide asConsideration of social context and ethics: 10%Consideration of commercial context including risk:10%Consideration of sustainable development issues:10%

Candidates enrolled on MSc Nanoscience to Nanotechnology are required to write an individual research dissertationon the economic, legal, social, ethical and environmental study in the application of nanotechnology in one specificfield, such as electronics, energy, food, healthcare, space, textile and water treatments etc. The dissertation shouldhave no more than 20 pages (excluding references and appendix, one and a half line spacing, Times New Roman,11pt) and has a weightage of 90% of the total marks. Students will need to give a 15 min individual oral presentationtowards the end of the module on their work. The oral presentation has a weightage of 10%.Moderation approach to main assessment: Universal non-blind double markingFailure Redemption: An opportunity to redeem failures will be available within the rules of the University. Theredemption assessment will be through a resubmission of the dissertation and an interview. This will form 100% ofthe module mark.Assessment Feedback: Students will receive feedback at the end of the semester 1 assessement. Individual feedbackwill also be given on draft dissertations before submission, as well as during meetings with the supervisor. Studentscan also ask for a feedback at the end of the oral examination.Module Content: The projects will be closely linked to the research interests of the members of academic staff andthe students are encouraged to discuss these projects with the academic staff involved. Students are also encouraged tosuggest their own topics.Having selected a suitable topic(s) and been allocated a project, the student will be given some basic information anda starting point (which may be in the form of a recent paper, article, textbook, website etc). He/she is then expected touse a wide range of source of reference material to study the topic and become fully familiar with currentdevelopments.Finally, the work is presented in the form of a dissertation (25 pages maximum excluding references and appendix (ifany), one and half line spacing, Times New Roman, 11 pt) and oral presentation, which will be assessed by theSupervisor and a second marker.

Intended Learning Outcomes: You should be able to demonstrate a knowledge and understanding of:The 'literature review process', at a research level, using a wide range of sources and references.

Learning outcomes in the context of Engineering Accreditation Board (EAB):

EAB:US1m: A comprehensive understanding of the scientific principles of own specialisation and related disciplines.EAB:US 4m: An awareness of developing technologies related to own specialisation.EAB: E1m: Ability to use fundamental knowledge to investigate new and emerging technologies.EAB: P1m: A thorough understanding of current practice and its limitations and some appreciation of likely newdevelopmentsReading List:Additional Notes: ZERO TOLERANCE FOR COURSEWORK DEADLINES.

Failure to sit an examination or submit work by the specified date will result in a mark of 0% being recorded.

Materials engineering students may have different submission deadlines as compared to other students enrolled on thismodule.

Assessment: Research dissertation and oral examination.

Available to visiting and exchange students.

Note: Dr Stefano Taccheo is responsible for the candidates enrolled on MSc Communication EngineeringCandidates enrolled on MSc Communication Engineering will focus on the investigation of the economic, social andenvironmental issues associated with new technologies being developed to extend internet access to remote regionsDescription: Global companies including Google and Facebook are working on new innovative methods to extendinternet access to remote regions and communities around the globe. Write a report on these developments with adetailed examination of the economic, social and environmental issues surrounding them including the business case,risk, associated ethical issues, sustainability issues.

Dr Vincent Teng is responsible for the candidates enrolled on MSc Nanoscience to Nanotechnology.Candidates are required to write a research dissertation on the economic, legal, social, ethical and environmental studyin the application of nanotechnology in one specific field, such as electronics, energy, food, healthcare, space, textileand water treatments etc. The student would need to consider the followings, e.g. what are the commercial benefits ofthe technology? How does the technology benefit the society? What are the detrimental effects on the society,if any?What are the various legal or regulatory requirements relating to the application of the technology? What are theethical issues relating to the development and application of the technology? What the sustainable development of thetechnology? What are the risk issues associated with the technology and its applications?

EGIM16 Communication Skills for Research EngineersCredits: 10 Session: 2016/17 Semester 1 (Sep-Jan Taught)Module Aims: Communication at a research level differs from that at the undergraduate level in that it is usuallydriven by an output or result rather than the requirement to show knowledge or understanding. The skill of a goodcommunicator at research level lies in efficiently and rigorously conveying the ideas behind the theory and proof ofthe research output. Verbal, written, visual and group communication will be explored through a series of lectures andformative exercises.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures (10h), Exercises (20h), Reading / Private Study (30h), Preparation for Assessment (40h)Lecturer(s): Dr KM PerkinsAssessment: Assignment 1 (10%)

Assignment 2 (10%)Oral Examination (40%)Writing (40%)

Assessment Description:The first sit assessment will consist of 4 assignments.

The first component will feature a small number (one to three) of tasks which are aimed to evaluate the student'sunderstanding of the other ideas, beyond the written word and oral presentations, which are covered in the module.This will include the critical review of a written output. Other possible tasks include group meetings and the creationof a poster. The coursework may be done individually or in groups, this will be confirmed at the time of setting thework.

The second assessment component will be a short written piece, up to two pages long, which will test the studentsunderstanding of the concepts with respect to the written work and to allow feedback to the participants in the moduleprior to the final assessment. This is an individual piece of coursework.

The oral examination will involve the students presenting an example of the work they have undertaken in the past,typically a project, through an oral presentation. The target duration of the oral presentation will usually be between 8to 10 minutes. The exact duration will be specified in the assignment descriptor. This is an individual piece ofcoursework.

The final, fourth, component will require the student to write a paper or equivalent. This paper will be between six toeight pages in length and will be written to a format described in the assignment descriptor. This is an individual pieceof coursework.

The reassessment will consist of 2 assignments, details of which are provided in a later section.Moderation approach to main assessment: Universal non-blind double markingFailure Redemption: Candidates shall be given one opportunity to redeem a failure in the module during the summersupplementary period.

The reassessment will consist of up to two components that will be equivalent to the oral and second writtenassignment of the first sit. A pass mark will be required in both resit components in order for the module to be passed.A student will only be required to redeem any of the two components that were failed at the first attempt. The resitcomponents are individual pieces of coursework.Assessment Feedback: Blackboard will be used to provide individual feedback to the students on all the componentsthat contribute to the final mark. For the first assessment component a class feedback document is also generallyincluded on Blackboard.

As part of the practical sessions the students will receive verbal feedback on their performance. These sessions do notcontribute to the final mark.

Module Content: Written Communication: [6 hours]• The usual layout of reports, theses, journal & conference papers.• How to write a good abstract for a research output.• What should be in the introduction?• Contents of the main body of a research output.• Effective conclusions• Writing style• Cross-referencing, captions, references• Critical review of self and others• Design concepts for research postersOral Communication: [6 hours]• The usual layout of a research presentation• Slide design for a research presentation• Delivery of a presentation, do's and don'ts• Maintaining the audience’s interest.Other topics: [3 hours]• Attending & chairing meetings• Conferences – submissions and attendance• Submission of papers and peer review.Intended Learning Outcomes: By the end of this module the student will be able to:• Write a paper or equivalent employing the structure and rigour required at research level (assessed by both thewritten assignments)• Efficiently communicate the concepts associated with complex ideas (assessed by the first written assignment andthe oral presentation)• Critically evaluate a written output (assessed within the first assessment component)• Verbally present a complex idea using the presentation structure, slide content and delivery techniques expected of aresearch engineer (assessed through the oral presentation)• Demonstrate an awareness of the other modes of communication of ideas at a research level such as posters andgroup discussions (assessed in the first assessment component)Reading List:Additional Notes: All lectures and course material will be provided on Blackboard.

The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment

EGLM03 Modern Control SystemsCredits: 10 Session: 2016/17 Semester 2 (Jan - Jun Taught)Module Aims: This module introduces ideas in modern control systems and their applications.

Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Formal contact hours: 30; Reading/private study: 50; Preparation for assessment: 20Lecturer(s): Dr CP JoblingAssessment: Coursework 1 (10%)

Coursework 2 (15%)Coursework 3 (5%)Examination 1 (70%)

Assessment Description:Coursework 1 is a Simulink Modelling Exercise to be done in pairs.Coursework 2 is a Control Systems Design Problem to be tacked in groups of 4-5 using Matlab, the Control Systems,Toolbox and Simulink with a submission of a report. The marks of this exercise will be moderated with PeerAssessment.Coursework 3 is the development of multiple choice questions in PeerWise which are to be used to support peerteaching, peer learning and peer collaboration.The June Examination will be a standard engineering paper consisting of 3 questions from 4 at 25 marks per question.The exam is worth 70% of the module marks.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption:If rules allow - standard University provisions with marks capped. Normally this would be by examination, although ifno contribution has been made to the continuous assessment components, a repeat module decision may be required.Assessment Feedback: In class feedback is used throughout the course both with audience response systems andPostIt notes for queries and questions. There is also a discussion board on Blackboard that can be used to elicitinformation from the lecturer. Feedback on the modelling exercise is done using video screencasting supported by theRubric Tool and the individual feedback feature of the Blackboard gradecentre. Feedback on the Group DesignExercise is via Blackboard and makes use of the rubric tool and the gradecentre individual feedback feature. Feedbackon the PeerWise assessment is exclusively peer feedback, the mark for this exercise simply rewards "engagement".Feedback on the examination is via the standard engineering examination feedback form which will be posted onBlackboard and the College Intranet. The Blackboard announcement tool is used for general feedback on all aspects ofthe formal and informal feedback for the module.Module Content: This module will be focussed on the study of a particular control problem:• Modelling: single-input single output (SISO) systems, revision of transfer functions, state-space modelling,nonlinear systems, multiple-input multiple-output (MIM0) systems.• Simulation: simulation as a design tool, continuous systems simulation, discrete event systems, simulation of digitalsystems, simulation of mixed continuous and discrete systems.• Design: Control system performance specification and achievement of performance specification by dynamiccompensation.• Digital systems and the z-transform. Digital compensation: digital to continuous equivalence, direct digital design.• State space methods: modeling, transformations, pole-placement methods of control, construction and use ofobservers. Linear Quadratic Regulator.• Applications (study for coursework): motor drives, mechatronics, aerospace flight control, process monitoring andcontrol.Intended Learning Outcomes:At the end of the course student should be able to:• Model a system in the Aerospace, Mechanical, Chemical or Electrical Engineering domains and run simulations.• Analyse the linearized models for such systems and devise a control strategy based on conventional or state-spacemethods.• Implement such control systems as digital controllers.

Reading List: D'Azzo, John Joachim, Linear control system analysis and design with MATLAB / John J. D'Azzo andConstantine H. Houpis, Stuart N. Sheldon, M. Dekker, c2003.ISBN: 0824740386Control Systems.Dr Chris P. Jobling, Control Systems Design (Handout).Norman S. Nise, Case Studies from Nise , John Wiley, 2011.Prof. Bill Messner at Carnegie Mellon, Prof. Dawn Tilbury at the University of Michigan, Control Tutorials forMatlab and Simulink.Nise, Norman S, Control systems engineering / Norman S. Nise, John Wiley & Sons, Inc, 2011.ISBN:9780470646120Dorf, Richard C, Modern control systems / Richard C. Dorf, Robert H. Bishop, Addison-Wesley, c1998.ISBN:0201308649Calculus.Linear Algebra.Signals and Systems.Digital Signal Processing.DiStefano, Joseph J, Schaum's outline of theory and problems of feedback and control systems / Joseph J. DiStefano,III, Allen R. Stubberud, Ivan J. Williams, McGraw-Hill, c1995.ISBN: 9780070170520Franklin, Gene F, Feedback control of dynamic systems / Gene F. Franklin, J. David Powell, Abbas Emami-Naeini,Addison-Wesley, 1986.Franklin, Gene F, Digital control of dynamic systems / Gene F. Franklin, J. David Powell, Michael L. Workman,Addison Wesley, 1998.ISBN: 0201820544Prof. Jonathan P. How, Prof. Emilio Frazoli, Feedback Control Systems/MIT Course Number 16.30-16.31.Additional Notes:• AVAILABLE TO visiting and exchange students.• This module makes full use of the e-learning support tools provided by Blackboard.• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of coursework andcontinuous assessment.

EGNM09 Micro and Nano Electro-Mechanical SystemsCredits: 10 Session: 2016/17 Semester 2 (Jan - Jun Taught)Module Aims: Micro and Nano Electro-Mechanical Systems (MEMS/NEMS) are technology that integrates electricaland mechanical components and they offer many novel and diverse applications ranging from display technologies tosensor systems.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures: 20 hours

Example Classes: 2 hoursDirected Private Study: 78 hours

Lecturer(s): Dr L LiAssessment: Examination 1 (80%)

Assignment 1 (20%)Assessment Description: 80% End term Examination20% Mid term testModeration approach to main assessment: Universal second marking as check or auditFailure Redemption: If rules allow - standard university provision of Supplementary examination, with markscapped at 40% and by written examination only (100%).Assessment Feedback: Students receive feedback from formal examination through College's intranet.Module Content: (Below is a suggested list of contents. To be completed by module co-ordinator)

Introduction to MEMS and NEMSModelling the Dynamics of MEMS/NEMSMEMS/NEMS Sensors and ActuatorsPiezoelectric, electrostatic, and thermoelectricFabrication of MEMS/NEMSOptical and RF MEMSIntended Learning Outcomes: After completing this module you should be able to demonstrate:

• ability to analyse the dynamic motion of micro/nano resonators based on mass-spring-damper model

• ability to use mathematical tools (such as Matlab) to simulate key parameters of micro/nanoelectromechanicalsystems

• ability to analyse how the physical and electronic properties change with dimension and how this affects devices,and comprehensive understanding of why the devices are realized in micro/nano scales

•ability to model the electronic/physical/mechanical properties of the piezoelectric crystals, electrostatic andthermoelectric devices, and to apply these devices in optical, radio frequency, and power generation systems

• ability to conduct multi-physics modelling encompassing disciplines such as electronics, physics, and mechanics

• ability to design microfabrication processes for target micro/nanoelectromechanical devicesReading List: Journal of microelectromechanical systems a joint IEEE and ASME publication on microstructures,microactuators, microsensors, and microsystems, Institute of Electrical and Electronics Engineers.ISBN: 1057-7157Senturia, Stephen D.; ebrary, Inc, Microsystem design Stephen D. Senturia, Kluwer Academic, 2002.ISBN:0306476010Sensors and actuators. A, Physical, Elsevier Science Pub. Co.ISBN: 0924-4247Additional Notes: Notes and example sheets for the module are available on Blackboard.