COLLEGE OF ENGINEERING

UNDERGRADUATE STUDENT HANDBOOK

YEAR 2 (FHEQ LEVEL 5) ELECTRONIC AND ELECTRICAL

ENGINEERING DEGREE PROGRAMMES

SUBJECT SPECIFIC (PART TWO OF TWO)

MODULE AND COURSE STRUCTURE 2019/20

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 2019/20 academic year begins on 23 September 2019

The University/College takes any form of academic misconduct very seriously. In order to maintain academic integrity and ensure that the quality of an Award from Swansea University is not diminished, it is important to ensure that all students are judged on their ability. No student should have an unfair advantage over another as a result of academic misconduct; whether this is in the form of Plagiarism, Collusion or Cheating. It is important that you are aware of the guidelines governing Academic Misconduct within the College/University and the possible implications. Please ensure that you read the University webpages covering the topic, and the College Part One handbook fully, in particular the pages that concern Academic Misconduct/Academic Integrity. You should also refer to the College proof-reading policy and this can be found on the CoE Community Pages on Blackboard, under Course Documents.

DATES OF 2019/20 TERMS

23 September 2019 – 13 December 2019

6 January 2020 – 3 April 2020

27 April 2020 – 5 June 2020

SEMESTER 1 23 September 2019 – 24 January 2020

SEMESTER 2 27 January 2020 – 5 June 2020

WELCOME 

We would  like  to  extend  a  very warm welcome  to  all  students  for  the  2019/20  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 Huw Summers Head of the College of Engineering 

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

Professor Cris Arnold Deputy Head of College and Director of Learning and Teaching   Professor Perumal Nithiarasu  Deputy Head of College and  Acting Director of Research  

 ELECTRONIC AND ELECTRICAL ENGINEERING PORTFOLIO DIRECTOR: Dr Chris Jobling (c.p.jobling@swansea.ac.uk)  Room B206, Engineering East  YEAR 2 CO‐ORDINATOR: Dr Timothy Davies (t.davies@swansea.ac.uk)  Room B207, Engineering East   ADMINISTRATIVE OFFICER: Should you require administrative support please visit the Engineering Reception, open Monday – Friday 8:30am – 5:00pm and speak with a member of the Student Information Team who will be happy to help.         

IMPORTANT INFORMATION  In line with IET accreditation requirements, the Electrical Engineering programme has specific rules in place for passing modules. Please be aware of these ‐ they are noted in the module descriptors. 

IMPORTANT – EGA222 and EGA223 Please be aware  that at Year 2  there are modules where a student  is unable  to  redeem a failure  by  the  Standard  Failure  Redemption  if  a  student  does  not  record  at  least  80%  attendance  at  Laboratory  classes.  Failure  to  attend  the  required  number  of  classes  and activities related to these Laboratory sessions will mean that you fail the module; hence you will be required to repeat the module during the next academic year. No failed modules can ever be carried over to the next Year.   IMPORTANT – EG‐252 Please be aware that at Year 2 there is a module where a student is unable to redeem their failure by a standard  resit examination – EG‐252. Failure of  this module will mean  that  the student must  repeat  the module or  repeat  the year. Failure  to attend classes and activities related to this module will mean that the student will fail the module; hence the student will repeat the module/year.    UKESF Scholarships and Awards  

 The UK Electronics Skills Foundation offers  scholarships and awards  to selected UK and EU undergraduate  students  studying  electronic  and  electrical  engineering  related  degree programme at partner universities.  Through the scholarship schemes, internship programme, paid work placements and competitions, undergraduates get the opportunity to connect with Electronics companies.   You  could  develop  valuable  employability  skills  and  network  with  professionals  in  the Electronic sector. Dr Karin Ennser  (MIET, CEng)  is  the USKESF Student Advisor  for Swansea University. Please get in touch with her if you want to find out more.   

Supporting Your Professional Development   As a student studying Electronic and Electrical Engineering at Swansea University you have started a journey which we hope will end with Engineering Council registration as either an Incorporated Engineer (IEng) or Chartered Engineer (CEng).   Each of the Bachelor of Engineering (BEng) programmes covered by this handbook has been accredited by the Institution of Engineering and Technology (IET) as fully satisfying the educational requirements for IEng registration and partially satisfying the educational requirements for CEng registration.   Each of the Integrated Masters (MEng) programmes covered by this handbook has been accredited by the IET as fully satisfying the educational requirements for CEng registration.   What this means for you is that the learning outcomes of each year of your programme of study has been carefully designed to align with Version 3 of the Engineering Council’s Accreditation of Higher Education Programmes (AHEP) which forms the educational foundation for the UK Standard for Professional Engineering Competence (UK‐SPEC).   The knowledge and skills you will have demonstrated by completing your programme of study are defined by achieving a set of learning outcomes distributed across the following key areas of competence:   Science and Mathematics   Engineering Analysis   Design   Economic, Legal, Social, Ethical and Environmental Context   Engineering Practice   Additional general skills  To find out more about Professional Registration and what the AHEP competences are, please refer to the Engineering Council’s Student Guide to Professional Registration and the Accreditation of Higher Education Programmes collated learning outcomes.   Trading up to MEng  If you are currently enrolled on one of the BEng programmes and would like to become a Chartered Engineer, the easiest way to satisfy the educational requirements at Swansea University is to transfer from the BEng to the equivalent MEng programme. This option is open to you until the end of Year 2, providing that your overall average is (or is predicted to be) at least 55%. Please discuss this with your Academic Mentor and your family or other supporters and if you wish to proceed contact the College Student Experience Team (EngInfo@Swansea.ac.uk).   The IET – “Your Professional Home for Life®”  As a student at Swansea University, you are privileged to be associated with one of the small band of Universities that have been selected to be Academic Partners of the IET. The most tangible benefit of this is that you are able to register as a student member of the IET at no cost to yourself for the duration of your study. And as a student member of the IET, you are able to take full advantage of the benefits that membership offers. These include an impressive range of services supporting Networking, Professional Development, Learning Resources and Membership Benefits. A summary of these are shown on the IET Student’s Resources page.   

In addition, if you are taking part a Year in Industry next year, your experience can be converted into the Engineering Technician (EngTech) qualification. Please contact your IET Student Advisor for details.   IET on Campus  IET On Campus is designed to support everyone in the College of Engineering with students at the heart of it. The IET gives you access to tailored practical, technical and career‐related resources and helps you to create links with industry and other universities, building a platform for you to demonstrate your skills and raise your profile. At Swansea, the local branch of IET on Campus is run by the Electrical & Electronic Engineering Society (E&EESoc) and is supported by the IET South Wales Local Network.   For more information, please join E&EESoc and access their social media channels.   IET Student Advisor  Dr Chris Jobling (MIET, CEng) is the IET Student Advisor for Swansea University. Please get in touch with him if you want to find out more about the AHEP and UKSPEC, the IET, IET student membership, IET Scholarships, Graduate Advantage, IET Communities, or opportunities to get involved with Wales South West Local Network as an IET young professional volunteer. He will be happy to help.  Other members of staff associated with the IET at Swansea include:   Dr Richard Cobley (MIET)   Dr Timothy Davies (MIET, CEng)   Dr Augustine Egwebe (MIET)   Dr Karin Ennser (MIET, CEng)   Prof Lijie Li (FIET)   Mr David Moody (MIET)  

College prizes  The College of Engineering awards prizes to the best student in each year and progression awards to students who achieve an average of 75%+. These prizes are awarded at a special ceremony and dinner held each December.   

Year 2 (FHEQ Level 5) 2019/20Electronic and Electrical Engineering

BEng Electronic and Electrical Engineering[H602,H605]BEng Electronic and Electrical Engineering with a Year Abroad[H603]

BEng Electronic and Electrical Engineering with a Year in Industry[H604]MEng Electronic and Electrical Engineering[H606]

MEng Electronic and Electrical Engineering with a Year Abroad[H600]

Coordinator: Dr T Davies

Semester 1 Modules Semester 2 ModulesEG-219

Statistical Methods in Engineering10 Credits

Miss CM Barnes/Dr WG Bennett/Dr A Egwebe/Prof P Rees

EG-240Electronic Circuits

10 CreditsDr T Davies

COREEG-241

Electrical Machines10 Credits

Dr G TodeschiniCORE

EG-243Control Systems

10 CreditsDr A Egwebe

COREEG-242

Electronic Materials and Devices10 Credits

Prof KS TengCORE

EG-247Signals and Systems

10 CreditsDr CP Jobling

EG-244Software Engineering

10 CreditsDr JW Jones

EGA211Semiconductor Technology

10 CreditsProf K Kalna

EGA207Electromagnetics

10 CreditsDr TGG Maffeis

EGA223Practical Circuits B

5 CreditsDr T Davies/Dr A Egwebe

EGA222Practical Circuits A

5 CreditsDr T Davies/Dr A Egwebe

EG-252Group Design Exercise

20 CreditsDr T Davies/Dr A Egwebe/Dr CP Jobling/Prof L Li

Total 120 Credits

Year 2 (FHEQ Level 5) 2019/20Electronic and Electrical Engineering

MEng Electronic and Electrical Engineering with a Year in Industry[H601]

Coordinator: Dr T Davies

Semester 1 Modules Semester 2 ModulesEG-219

Statistical Methods in Engineering10 Credits

Miss CM Barnes/Dr WG Bennett/Dr A Egwebe/Prof P Rees

EG-240Electronic Circuits

10 CreditsDr T Davies

COREEG-241

Electrical Machines10 Credits

Dr G TodeschiniCORE

EG-243Control Systems

10 CreditsDr A Egwebe

COREEG-242

Electronic Materials and Devices10 Credits

Prof KS TengCORE

EG-247Signals and Systems

10 CreditsDr CP Jobling

EG-244Software Engineering

10 CreditsDr JW Jones

EGA211Semiconductor Technology

10 CreditsProf K Kalna

EGA207Electromagnetics

10 CreditsDr TGG Maffeis

EGA223Practical Circuits B

5 CreditsDr T Davies/Dr A Egwebe

EGA222Practical Circuits A

5 CreditsDr T Davies/Dr A Egwebe

EG-233Placement Preparation: Engineering Industrial Year

0 CreditsDr GTM Bunting/Dr CME Charbonneau/Dr P Esteban/Mr GD Hill/Mr P Lindsay/Dr A Rees/...

EG-252Group Design Exercise

20 CreditsDr T Davies/Dr A Egwebe/Dr CP Jobling/Prof L Li

Total 120 Credits

EG-219 Statistical Methods in EngineeringCredits: 10 Session: 2019/20 Semester 1 (Sep-Jan Taught)Module Aims: This module offers a balanced, streamlined one-semester introduction to Engineering Statistics thatemphasizes the statistical tools most needed by practicing engineers. Using real engineering problems students seehow statistics fits within the methods of engineering problem solving and learn how to apply statistical methodologiesto their field of study. The module teaches students how to think like an engineer when analysing real data.

Mini projects, tailored to each engineering discipline, are intended to simulate problems that students will encounterprofessionally during their future careers. Emphasis is placed on the use of statistical software for tackling engineeringproblems that require the use of statistics.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures: 12 hours

Computer-based example classes: 14 hoursDirected private study 40 hoursPreparation for assessment 35 hours

Lecturer(s): Miss CM Barnes, Dr WG Bennett, Dr A Egwebe, Prof P ReesAssessment: Project (50%)

Examination (50%)Assessment Description:Discipline Specific Mini Project (contributes 50% to module grade). Students will work on a mini project, related totheir field of discipline, to perform statistical analysis and interpretation of a real-world data set using Matlab. Thestudents will present their findings by submitting a written report.

Exam (contributes 50% to module grade). Students will tackle a series of multiple choice general statistical questions.

Students need to achieve at least 30% in both components. If a student achieves less than 30% in either component,the module mark will be the lowest mark achieved.Moderation approach to main assessment: Second marking as sampling or moderationFailure Redemption: Students will be required to redeem the component that they fail during the Augustsupplementary period. Failure of both the project and examination will result in resitting both components.Assessment Feedback: Students will receive their grades, together with models answers, within 3 weeks ofsubmission.

Module Content:Unit 1: Data Displays• Lecture 1: Robust Data Displays. Engineering Method and Statistical Thinking (Variability); The Median; The InterQuartile Range; Stem-and-Leaf displays; Boxplots.• Lecture 2: Traditional Data Displays. The Mean; The Standard Deviation; Histograms; Chebyshev’s Rule.

Unit 2: Modelling Random Behaviour• Lecture 3: Probability. Rules of Probability; Independence; Total Probability; Bayes Rule; Reliability.• Lecture 4: Discrete Random Variables. The Binomial Distribution; The Poisson Distribution; The Hyper geometricDistribution; Modelling Failure.• Lecture 5: Continuous Random Variables. The Normal Distribution, The Exponential and Weibull Distributions;Sampling Distributions & The Central Limit Theorem.

Unit 3: Estimation and Testing• Lecture 6: Non - Parametric Hypothesis Testing. The Null and Alternative Hypothesis; Significance Levels, TheSign Test; The Tukey Test.• Lecture 7: Parametric Hypothesis Testing. Inference for a Single Mean; Inference for Two Independent Samples;Inference or Variances.

Unit 4: Model Building and Regression Analysis• Lecture 8-9: Correlation & Simple Regression Analysis. The Correlation Coefficient, Simple Linear Regression,Non Linear Regression through Data transformations.• Lecture 10-12: Multiple Regression and Diagnostics. Multiple Linear Regression, R2, Statistical Significance ofModel Parameters; Residual Analysis.

Practical classes will complement each of the above lectures, where directed study will be provided to highlight howthe techniques learnt in each lecture can be applied to typical engineering problems for each discipline.Intended Learning Outcomes:Appreciate the use and applicability of statistical analysis in engineering.Ability to use statistical software to compute and visualise statistical functions.Ability to build probabilistic models.Ability to apply common statistic methodologies to their field of study.Statistical thinking and structured problem solving capabilities.Think about, understand and deal with variability.Reading List:;Additional Notes:PENALTY: ZERO TOLERANCE FOR LATE SUBMISSION

Attendance at computer classes is compulsory.The module is only for students within the College of Engineering.The module is unavailable to visiting/exchange students.Notes, worked examples, assignments and mini projects can be found on Blackboard.

Students need to achieve at least 30% in both components. If a student achieves less than 30% in either component,the module mark will be the lowest mark achieved.

EG-233 Placement Preparation: Engineering Industrial YearCredits: 0 Session: 2019/20 Semester 1 and Semester 2 (Sep-Jun Taught)Module Aims: This generic cross-disciplinary module is for all students who have enrolled (or transferred) onto theEngineering Year in Industry scheme. The module focuses on the underpinning and fundamental requisites required togain, enter and progress effectively through an industrial placement. Learners will be introduced to a) sourcingplacements, CV writing and application techniques; (b) interview techniques - how to pitch yourself and besuccessful; (c) workplace fundamentals and IP awareness, behaviours and expectations; (d) key employability skills;getting the most from your Industrial Placement; and (e) health and safety in the workplace.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: 11 hours consisting of a mix of seminars and workshops. 11 one hour drop-in advice sessions. Review of

CV and cover letter.Lecturer(s): Dr GTM Bunting, Dr CME Charbonneau, Dr P Esteban, Mr GD Hill, Mr P Lindsay, Dr A Rees, Dr SARolland, Dr S Sharma, Dr G Todeschini, Dr CAC WoodAssessment: Placements (100%)Assessment Description:Students are required to attend the health and safety lecture. Students who do not attend and have no valid reason willnot be permitted to continue on an Engineering Industrial Placement Year programme of study.Moderation approach to main assessment: Not applicableFailure Redemption:Successful completion of this module depends upon attendance at, and engagement with, the health and safety lecture.Therefore there will normally be no opportunity to redeem failure. However, special provision will be made forstudents with extenuating or special circumstances.Assessment Feedback:N/A: students will however be able to discuss and seek feedback/advice on their search for an industrial placement,during the drop-in sessions.Module Content:The module will focus on the key requirements to gain and be successful whilst on a placement. Directed and self-directed activity will address the following topics;

1) Engineering Industrial Placements - what they are, how to search and how to apply.2) CV writing, cover letters and application processes.3) Assessment centres, interview techniques and mock interviews.4) Recognising and developing employability skills.5) Reflecting and maximising the placement experience.6) One to one meeting with careers and employability staff.7) Health and safety in the workplace.Intended Learning Outcomes:Technical OutcomesBy the end of this module, students will:- Know how to find and apply for placements, create a CV and complete a placement application.- Understand the interview process and gain interview experience.- Discuss and share what is expected within the workplace including behavioural and professional conduct.- Identify personal employability skills and how these will be used in a workplace setting.

Accreditation Outcomes (AHEP)- Plan and carry out a personal programme of work, adjusting where appropriate (G3)- Plan self-learning and improve performance, as the foundation for lifelong learning/CPD (G2)Reading List:;Additional Notes: This module is only available for students enrolled on the Engineering Year in Industry scheme.

EG-240 Electronic CircuitsCredits: 10 Session: 2019/20 Semester 2 (Jan-Jun Taught)Module Aims: This module introduces circuit elements such as transistors and FETs and shows how they can be usedas amplifiers and switches.The amplification and bias conditions for transistor amplifiers are analysed and discussedin detail.

Circuit elements necessary for building operational amplifiers such as the long tailed pair and the current mirror areanalysed, and a complete circuit for an operational amplifier is discussed.

Some applications of operational amplifiers such as the function generator and instrumentation amplifier areintroduced with practical applications.

Circuits using MOSFETs for logic and analogue switches are described.Pre-requisite Modules: EG-142; EG-155Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours

Example classes 5 hoursDirected private study 75 hours

Lecturer(s): Dr T DaviesAssessment: Examination 1 (100%)Assessment Description: The module is assessed by a 2 hour Examination; Answer 3 out of 4 questions, Question 1is compulsoryModeration approach to main assessment: Universal second marking as check or auditFailure Redemption:If a student is awarded a re-sit: Failure Redemption of this module will be by Examination only (100%). Level 2 re-sits (Supplementary exams) are capped at 40%.Assessment Feedback:Feedback will be in a standard format on the College of Engineering Community page on Blackboard.Information provided includes average marks, maximum and minimum marks for the exam as a whole and forindividual questions.Module Content:• Bipolar Junction Transistors; Transistor bias circuits; Small signal bipolar amplifiers; Long Tailed Pair.• Operational amplifier design and analysis.• Operational amplifier applications; the instrumentation amplifier.• JFET transistors and biasing; Small signal JFET amplifiers• MOSFET as a switch and in logic circuitsIntended Learning Outcomes:After completing this module you should be able to:• describe the operation of a BJT and a MOSFET.• analyse small signal amplifier models for a number of cascaded sections.• design a biasing circuit for a BJT and a JFET amplifier.• construct small signal models of the BJT and the JFET for a particular quiescent operation point.• design individual BJT and MOS single-stage amplifiers.• predict the small signal frequency response of a discrete transistor amplifier.• design a current-mirror biasing arrangement.• analyse a BJT Long-Tailed Pair.• design a complete operational Amplifier.• consider the parameters of an Op-Amp.• describe various Op-Amp applications including the instrumentation amplifier.• design MOSFET Switch and logic Circuits.

Reading List:;Additional Notes:• AVAILABLE TO Visiting and Exchange students.

EG-241 Electrical MachinesCredits: 10 Session: 2019/20 Semester 1 (Sep-Jan Taught)Module Aims: This module introduces the operation and configuration of transformers and rotating electricalmachines, with a focus on transformers, asynchronous (induction) motors and dc machines.Pre-requisite Modules: EG-155; EGA107Co-requisite Modules:Incompatible Modules:Format: Lecture 20-22 Hours

Example 4-6 HoursPrivate Study 72 Hours

Lecturer(s): Dr G TodeschiniAssessment: Examination 1 (90%)

Class Test 1 - Coursework (10%)Assessment Description:10% Individual Blackboard Quiz and 90% Exam

Specific rules for passing this module:This module is assessed by a combination of an examination (90%) and a Blackboard Quiz (10%). In order for thequiz marks to count, you must achieve at least 30% in the exam component. If you achieve less than 30% in the exam,then the module mark will be just the exam mark.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption:If a student is awarded a re-sit: failure redemption of this module will be by Examination only (100%).

Level 2 re-sits (Supplementary exams) are capped at 40%Assessment Feedback:Coursework feedback will be provided through Blackboard and a formal lecture. Additional feedback will be providedduring office hours.

Exam feedback will be in a standard format on the College of Engineering intranet. Information provided includesaverage marks, maximum and minimum marks for the exam as a whole and for individual questions.Module Content:Section 1: IntroductionReview of active and reactive power, three-phase systems, electromagnetism.

Section 2: TransformersIdeal transformer, real single-phase transformers, equivalent circuit of a transformer, three-phase transformers.

Section 3: Ac machines fundamentalsThe rotating magnetic field, magnetomotive force and flux distribution in ac machines, induced voltage in acmachines, induced torque in ac machines.

Section 4: Induction motorsConstruction, basic concepts, equivalent circuit, power and torque, torque-speed characteristics, starting transient.

Section 5: dc machinesCommutation in a simple four-loop dc machine, commutation with real machines, voltage-torque equations in realmachines, equivalent circuit of dc motor, shunt dc motors. separately excited dc motors

Intended Learning Outcomes:Upon completion of the module, students should be able to:

• Explain the construction and operation of transformers, induction motors and dc machines.• Explain, draw and use the equivalent circuits of transformers, induction motors and dc machine.• Use short-circuit and open-circuit tests to calculate transformer parameters.• Use equivalent circuits to study operation of transformers, induction motors and dc machines.• Explain power flow diagrams for transformers, induction motors and dc machines.• Explain the concept of rotating electromagnetic field.• Explain the concepts of synchronous speed, slip speed, and slip.• Explain torque-speed/slip characteristic of an induction motor and of a dc machine.• Explain the following configurations of dc machines: separately excited dc motors and shunt dc motorsReading List:;Additional Notes:• Available to Visiting and Exchange students provided that they passed EG-155

• Penalty for late submission: ZERO tolerance

• This module is assessed by a combination of an examination (90%) and a Blackboard Quiz (10%). In order for thequiz marks to count, you must achieve at least 30% in the exam component. If you achieve less than 30% in the exam,then the module mark will be just the exam mark.

EG-242 Electronic Materials and DevicesCredits: 10 Session: 2019/20 Semester 1 (Sep-Jan Taught)Module Aims: The module introduces the fundamental properties of semiconducting materials and the principles ofoperation of electronic devices.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours

Directed private study 80 hoursLecturer(s): Prof KS TengAssessment: Examination 1 (100%)Assessment Description: 100% ExaminationModeration approach to main assessment: Universal second marking as check or auditFailure Redemption: If a student is awarded a re-sit: Failure Redemption of this module will be by Examination only(100%). Level 2 re-sits (Supplementary exams) are capped at 40%Assessment Feedback: Feedback will be in a standard format on the College of Engineering Community page onBlackboard. Information provided includes average marks, maximum and minimum marks for the exam as a wholeand for individual questions.Module Content:Basic principles: Energy band diagram, the Fermi-Dirac distribution function, Boltzmann Approximation, Electronsand Holes, Donors and Acceptors, Calculation of n and p, Intrinsic level, Intrinsic carrier concentration, Poisson'sequation, Neutral and space-charge regions, Carriers Scattering and Mobility, Drift and Diffusion of holes andelectrons, Modified Ohms Law, Recombination and Generation, Equilibrium and non-equilibrium, Quasi-FermiLevels.

Diode: p-n junction, Ideal diode law, Reverse bias and avalanche breakdown, Transient effect, Small-signal equivalentcircuit.

Bipolar transistors: Basic operation of npn and pnp junctions, DC characteristics, Emitter efficiency, Base transportfactor, Large and small signal current gains.

MOS transistors: Basic MOS Theory (flat band, accumulation, depletion, strong inversion), MOS Transistor, Smallsignal parameters, Equivalent circuit of MOSFET.

Intended Learning Outcomes:After completing this module you should be able to:- Apply the basic principles of the energy band diagram and its Fermi level- Determine the electron and hole concentrations in semiconductors- Apply Poisson's equation on doped semiconductors- Obtain drift and diffusion currents that flow in semiconductors- Understand the equilibrium and non-equilibrium conditions of electronic materials- Understand the operation of various electronic devices, such as p-n junction, bipolar junction transistor andMOSFETReading List:;Additional Notes:• Notes and example sheets for this module are available on Blackboard.

EG-243 Control SystemsCredits: 10 Session: 2019/20 Semester 2 (Jan-Jun Taught)Module Aims: The module introduces the topic of feedback control systems and presents methods of modelling thatlead to transient, steady state and stability performances in control systems. An emphasis is placed on links betweentime responses and complex frequency domains. Principal topics are feedback systems, focusing on the systemcharacteristic equation and its solution. There is an emphasis on the root-locus approach in studying stabilityconditions and compensation design. The overall aim is to understand and be able to apply basic techniques for theanalysis and design of feedback control systems.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures: 22 hours

Example classes: 10 hoursDirected private study: 68 hours

Lecturer(s): Dr A EgwebeAssessment: Examination 1 (100%)Assessment Description:The examination is worth 100% of the module. The examination consists of 4 questions. Question 1 is compulsory,with answers for 2 others required. Questions are equally weighted. The examination topics will be those presented inthe lectures.Moderation approach to main assessment: Partial second markingFailure Redemption: If a student is awarded a re-sit: Failure Redemption of this module will be by 100%Examination only.Assessment Feedback:Standard University procedure via a generic form. Information is given on popularity of the individual questions,relative performances across the cohort and common mistakes.Other information includes the class grade for eachquestion (1st class, 2:1 class, 2:2 class, 3rd class and fail) achieved by the cohort.

Individual students can make appointments with the lecturer to receive general feedback on the examination wherethis is requested.Module Content:• Dynamic systems generally;• Examples of feedback systems and practical performance criteria;• Time and frequency response analysis;• Differential equations and the implications of feedback;• Open and closed loop control system configurations;• Closed loop characteristics from open-loop transfer functions;• Stability in the context of negative feedback;• Complex frequency domain representations;• Solutions of the characteristic equation, Bode, Nyquist and root-locus techniques;• Design to meet stability and error performance criteria;• Proportional, integral and differential (PID) compensation and their role in designs to meet a specification.Intended Learning Outcomes:Technical Outcomes- Upon completion of this module the student should be able to demonstrate a knowledge and understanding of:- The influence of feedback on dynamic systems;- The characteristic equation and its importance in feedback systems- The link between open-loop and closed-loop transfer functions;- Stability criteria;- Time and frequency responses;- Steady-state accuracy.

Accreditation Outcomes (AHEP)- Understanding of, and the ability to apply, an integrated or systems approach to solving engineering problems(EA4b)- Ability to apply and integrate knowledge and understanding of other engineering disciplines to support study of theirown engineering discipline (SM3b)Reading List:;

Additional Notes:• AVAILABLE to Visiting and Exchange Students

EG-244 Software EngineeringCredits: 10 Session: 2019/20 Semester 1 (Sep-Jan Taught)Module Aims: The module develops software engineering practice through practical applications using Python. Thisis achieved through a number of programming assignments throughout the semester and an examination at the end.Each assignment begins with the students being given one or more programs which they are expected to enhance tosatisfy the brief.

In order for the continual assessment marks to count, you must achieve at least 30% in the exam component. If youachieve less than 30% in the exam, then the module mark will be just the exam mark.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Each week contains 2 one hour lectures and a 2/3 hour practical session in a computer laboratoryLecturer(s): Dr JW JonesAssessment: Coursework 1 (10%)

Coursework 2 (20%)Coursework 3 (30%)Examination 1 (40%)

Assessment Description: This module is assessed by a combination of examination and continual assessment. Inorder for the continual assessment marks to count, you must achieve at least 30% in the exam component. If youachieve less than 30% in the exam, then the module mark will be just the exam mark.

All three pieces of Coursework will be conducted and assessed individually. Each piece of coursework will beassessed within the PC laboratory.

The Examination will test the theoretical components of the module as well as the ability to dry-run programs byhand.Moderation approach to main assessment: Not applicableFailure Redemption: This module can be redeemed via supplementary examination during the Augustsupplementary exam period. This will form 100% of the module mark. Year 2 supplementary exam marks are cappedat 40%.Assessment Feedback: All students will receive their marks within two weeks of the assignment deadline.General Feedback will be in a standard format on Blackboard. Information provided includes average marks,maximum and minimum marks for the exam as a whole and for individual questions.Module Content:The aspects of the Python language that will be covered include:• Simple interaction with the user through the keyboard and screen;• Variables and Types;• Lists;• Basic Operators;• String Formatting and Basic String Operations;• Conditions;• Loops;• Developing and using functions;• Dictionaries;• Input and Output to Disk and Serialisation;• Modules and Packages.Intended Learning Outcomes:After completing this module you should be able to:• Describe the Python language in the context of the application domain (SM1p, EP2p)• Develop, analyse and test simple Python programs and algorithms to meet specifications (SM1p, SM2p, EA1p,EP2p)• Implement simple dynamic data structures (SM1p, SM2p, EA1p, EP2p)Reading List:;Additional Notes: The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of allcoursework and continuous assessment.

EG-247 Signals and SystemsCredits: 10 Session: 2019/20 Semester 2 (Jan-Jun Taught)Module Aims: To develop further methods of representing and analysing dynamic systems, to extend these conceptsto sampled-data systems, to introduce concepts in digital signal processing and to use computer-aided methods formodelling and analysis.Pre-requisite Modules: EG-116; EG-150Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours

Example classes 4 hoursLaboratory 20 hoursDirected private study 56 hours

Lecturer(s): Dr CP JoblingAssessment: Examination (70%)

Coursework 1 (30%)Assessment Description:EG-247: Final exam: 70%; Coursework 1: 30% - Laboratory Portfolio and Project.

Examination: 2-hour examination. Answer Q1 and 2 of the remaining 3 questions. Each question is worth 25 marks.The work for the coursework will be done individually and submitted as a portfolio of evidence. The lab work will beself-assessed.

Specific rules for passing this module:This module is assessed by a combination of examination and continual assessment. In order for the continualassessment marks to count, you must achieve at least 30% in the exam component. If you achieve less than 30% in theexam, then the module mark will be just the exam mark.Moderation approach to main assessment: Second marking as sampling or moderationFailure Redemption: If a student is awarded a re-sit - Failure Redemption of this module will be by Examinationonly (100%). Level 2 re-sits (Supplementary exams) are capped at 40% For other issues, following university policy(see below): http://www.swan.ac.uk/registry/academicguide/assessmentissues/redeemingfailures/Assessment Feedback:Examination feedback will be in a standard format on the College of Engineering intranet. Information providedincludes average marks, maximum and minimum marks for the exam as a whole and for individual questions.

Coursework feedback will be returned via the assignment facilities provided by Microsoft Teams.Module Content: • Review of signal representations and transform concepts.• Fundamentals of Fourier series and the Fourier Transform.• Ideal filters.• Fundamentals of Sampled data signals, digital systems, z-transforms.• Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT).• Implementations of IIR and FIR pulse transfer functions.

Intended Learning Outcomes:After completing this module you should be able to:• Determine system responses for given standard inputs• Discuss the nature of analogue and digital signals and systems• Describe the different forms of Fourier representations• Derive the Fourier representations of simple signals• Determine the response of digital systems to standard inputs• Apply the DFT to simple sequences• Design FIR digital filters and describe their implementation

The following AHEP 3 Programme Learning outcomes (see https://www.engc.org.uk/education-skills/accreditation-of-higher-education-programmes/) at Partial CEng (p) and CEng (m) are partially addressed by this module:• Knowledge and understanding of the scientific principles underpinning the key properties for signals and systems;analysis and design of linear systems; sampling and filtering (SM1p)• Knowledge and understanding of the mathematical principles and application of algebraic manipulation; complexnumbers; Laplace transforms; Fourier analysis; Z-Transforms and the Fourier and Discrete Fourier Transforms(SM2p)• Theory and application of transforms; mathematical modelling; active and passive filters and signal processing(EA1p).• Ability to identify, classify and describe the performance of analogue and digital signals and signal processingsystems by the application of analytic methods and modelling techniques (EA2p).• Quantitative methods for spectral, Transfer function and frequency analysis; modelling in Matlab and simulation inSimulink (EA3p and EA3m).• Systematic methods for signal sampling (analogue signals such as speech) and filter design (EA4p)

Theoretical knowledge and it's application (SM1p, SM2p, EA1p, EA2p) are assessed by examination. Applicationsand the use of computational methods for analysis and design are assessed (EA1p-EA3p and EA3m) are assessed viathe Lab Portfolio and the Design Project.Reading List:;Additional Notes:• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.• Class notes, homework problems, worked examples and past papers for this module are distributed through aOneNote Class Notebook linked to Blackboard. The OneNote notebook, class discussion and assessments are hostedby Microsoft Teams. You are advised to install OneNote and Teams prior to the start of class.

This module is assessed by a combination of examination and continual assessment. In order for the continualassessment marks to count, you must achieve at least 30% in the exam component. If you achieve less than 30% in theexam, then the module mark will be just the exam mark.

EG-252 Group Design ExerciseCredits: 20 Session: 2019/20 Semester 1 and Semester 2 (Sep-Jun Taught)Module Aims:The module is intended to reinforce aspects of Engineering Applications (EA1) and develop EA2.Advanced features of microcontroller operation are introduced, including interrupts and programming of features ofthe selected microcontroller.Extended experimental work is carried out as a Group Design Exercise.Practice in using technical IT packages including microcontroller software development and the use of design aidssuch as PCBs and engineering drawing is inherent.Development of project documentation through a web-site.Concepts of engineering ethics introduced in first year are developed through a formal lecture,and examined as part of the presentation in the final assessment.Pre-requisite Modules: EG-151; EG-152; EG-168Co-requisite Modules: EG-240; EG-244Incompatible Modules:Format: Lectures 10 hours

Laboratory work 80 hoursDirected private study 110 hours

Lecturer(s): Dr T Davies, Dr A Egwebe, Dr CP Jobling, Prof L LiAssessment: Coursework 1 (20%)

Coursework 2 (10%)Coursework 3 (70%)

Assessment Description:The Micromouse group design exercise will run for the entire two semesters. In addition, there will be a lecture basedelement at the start of the first semester to familiarise students with the microcontroller and its programming.

Coursework 1: The microcontroller exercise will run at the start of the exercise and it will be assessed by means ofspecific programming tasks. This part of the assessment is worth 40 marks out of 200, 20% of the total.

Coursework 2: Progress on the Micromouse and web site will be assessed at the end of the first term. A mark will begiven for the progress on the micromouse (specifically, on its ability to avoid obstacles). A further mark will be givenfor progress on the web site. These two items are worth 20 marks out of 200, in other words 10% of the total.

Coursework 3: This will be the final assessment of the micromouse. Marks will be awarded for the the tasks set at thestart of the exercise, and for the completed web site. A peer review process will be used to moderate the marks forindividual students within each group. These items are worth 140 marks out of 200, the remaining 70% of the total.The aspects assessed are as follows:

• Practical demonstrations of the specified tasks, including line following, obstacle avoiding and combat.• A technical assessment, including the “special feature”.• The website, containing technical descriptions, blogs, and a timeline for the project.• The result of the combat final.• A group presentation, which includes technical information, project planning, and an ethical assessment of the stagesof the project.

Specific rules for passing this module:This module is assessed by three assignments. In order for ‘Coursework 1’ and ‘Coursework 2’ marks to count, youmust achieve at least 30% in Coursework 3. If you achieve less than 30% in Coursework 3 then the module mark willbe just the Coursework 3 mark.Moderation approach to main assessment: Not applicableFailure Redemption:No Re-sit (August supplementary). This module can only be redeemed by re-taking the entire module during the nextacademic session.Assessment Feedback: Feedback will be provided in a standard format on the College of Engineering intranet.Information provided will be the average mark, maximum and minimum marks, for the module as a whole. Inaddition, the same information will be provided for the microcontroller course (4 credits), the December inspection (2credits) and the group design exercise (14 credits).

Module Content:The group design exercise (GDE) will run across both teaching blocks. This is an open-ended exercise (thedevelopment of a micro-mouse) which will draw on concepts from the taught modules in each of the teaching blocks.

Microcontroller work:• Further instruction set detail: number systems, branch control, stack operation• Interrupts and interrupt handling• Timer-counter applications• Further applications, eg DAC/ADC, UART, SPI bus• Experimental work in the programming of microprocessors will provide support for the GDE.

Work in small groups on the project, involving:• Embedded microcontroller software design for motor control and sensors• Sensor design and interface• Derivation of calibration and test experiments• Business considerations• Configuration of a hosted web site with database support• Web-based collaboration and reporting• A group presentation on the project, including a discussion of engineering ethicsIntended Learning Outcomes:After completing this module you should be able to:• Describe and use the full microcontroller instruction set.• Describe and use typical timer-counter (and other) peripherals, using interrupt where appropriate.• Work in a small group on a technical project.• Design simple electronics and software routines.• Assess appropriate experimental strategies.• Apply formal project planning and descriptive methods.• Prepare technical documentation using Information Technology.• Record and communicate design decisions• Use design notations as appropriate to the stage in a system design lifecycle.• Refer to the guidelines for engineering ethics as described in the IET website• Consider the ethical implications of complex systems such as autonomous machines and vehicles.• Make a group presentation about their experience, including their findings about ethical aspects.Reading List:;Additional Notes:• NOT AVAILABLE TO Visiting and Exchange Students due to number restriction.• LABORATORY CLASSES ARE COMPULSORY. Students must have at least 80% attendance at laboratoryclasses in order to be allowed to be assessed for the module.• Student with less than 80% attendance, unless with valid extenuating circumstances, will have to repeat the modulein the next academic year (automatic fail).• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.• This module is assessed by three assignments. In order for ‘Coursework 1’ and ‘Coursework 2’ marks to count, youmust achieve at least 30% in Coursework 3. If you achieve less than 30% in Coursework 3 then the module mark willbe just the Coursework 3 mark.

EGA207 ElectromagneticsCredits: 10 Session: 2019/20 Semester 1 (Sep-Jan Taught)Module Aims: Transmission lines, characteristic impedance, reflection coefficients, VSWR, wave impedance, stubsand basic matching circuitsApplication of Maxwell's equations to electro-magnetic plane wave propagation. Attenuation, Wave impedance,reflection, and transmission in loss-free and lossy medium. Skin depth.Pre-requisite Modules: EG-114; EG-116; EGA107Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours

Example classes 8 hoursDirected private study 75 hours

Lecturer(s): Dr TGG MaffeisAssessment: Examination 1 (100%)Assessment Description: This module is assessed by means of a single 2-hour examination. The format of the examis a choice of 3 questions from 4.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: If a student is awarded a re-sit, Failure Redemption of this module will be by Examination only(100%). Level 2 re-sits (Supplementary exams) are capped at 40%.Assessment Feedback: Feedback will be in a standard format on the College of Engineering Intranet. Informationprovided includes average mark, maximum and minimum marks for the examination as a whole and for individualquestions.Module Content:• Derive the Telegraph equations for transmission line.• Derive solutions and the associated characteristics of transmission line propagation.• Derive the parameters of reflection coefficient, voltage standing wave ratio (VSWR) and input impedance for aloaded transmission line.• Develop techniques to match a load to a transmission line.• Review of Ampere's Law, Faraday's Law and Gauss's Laws.• Develop Maxwell's equations in 1-dimension and the associated plane wave solutions.• Determine the attenuation, wavelength and velocity of propagation given the electrical properties of the media.• Derive expressions for the transmission and reflection coefficients of plane waves at an interface between differentmedia.Intended Learning Outcomes:Upon completion of this module the student should be able to:

• Determine the important parameters associated with transmitting electromagnetic energy through transmission lines.• Solve mismatched transmission line problems.• Explain the links between currents and voltages on one hand and electromagnetic fields on the other.

• Explain how the electromagnetic plane waves can be deduced from Maxwell's equations.• Explain how a medium constitutive parameters affect the propagation of electromagnetic waves.• Describe the terms linear polarisation and circular polarisation.• Derive expressions for the transmission and reflection coefficients of plane waves at an interface between differentmedia.Reading List:; Ulaby, Fawwaz T. (Fawwaz Tayssir); Ravaioli, Umberto, Fundamentals of applied electromagnetics /Fawwaz T. Ulaby, University of Michigan, Ann Arbor, Umberto Ravaioli, University of Illinois, Urbana-Champaign.,2015.ISBN: 9781292082455Kraus, John Daniel,, Fleisch, Daniel A., Electromagnetics : with applications / John D. Kraus, Daniel A. Fleisch ; witha chapter on "Electromagnetic effects in high speed digital systems" by Samuel H. Russ., WCB/McGraw-Hill,,c1999..ISBN: 9780071164290Additional Notes:• AVAILABLE TO Visiting and Exchange Students

EGA211 Semiconductor TechnologyCredits: 10 Session: 2019/20 Semester 2 (Jan-Jun Taught)Module Aims: The module introduces semiconductor fundamentals, semiconductor processing, device fabricationtechnology and device characterization.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 22 hours + Labs 12 hours 34 hours

Directed private study 54 hoursLecturer(s): Prof K KalnaAssessment: Examination 1 (70%)

Coursework 1 (30%)Assessment Description:Examination 1 (Written examination) 70% and 30% Continuous Assessment (Coursework).

• Written Examination on taught part of the course - worth 70% of the total module mark.• Course work components (on laboratory part of the course, worth 30% of the total module mark).

Specific rules for passing this module:This module is assessed by a combination of examination and continual assessment. In order for the continualassessment marks to count, you must achieve at least 30% in the exam component. If you achieve less than 30% in theexam, then the module mark will be just the exam mark.

6 laboratory classes of 2 hours are compulsory. Students must attend at least 4 two-hours classes of the initial 5laboratory classes but might skip the last laboratory class (6th two-hours laboratory) before the deadline in order forthe laboratory report to be assessed. The laboratory classes can be missed only against a medical form, and personalfamily circumstances.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: If a student is awarded a re-sit - Failure Redemption of this module will be by 100%ExaminationLevel 2 re-sits (Supplementary exams) are capped at 40%For other issues, following university policy (see below):http://www.swan.ac.uk/registry/academicguide/assessmentissues/redeemingfailures/.Assessment Feedback: Feedback will be available on a blackboard for the assessment project and in a standardformat on the College of Engineering intranet. Information provided includes extensive comments on your assessmentreport, then average, maximum and minimum marks for the examination as a whole and for individual questions. Theexam script will also contain comments on particular mark which can be read after asking to see the exam answersheet. There is also very important additional feedback given during the exercise classes.Module Content:Semiconductor growth, material defects, doping of semiconductors: diffusion and ion implantation, metal deposition,Oxide growth and alternative gate materials. Interface states. Lithography, annealing. Clean room technology. Processflow. Process issues affecting scaling of devices.

Device design: interfaces, Schottky barriers, Ohmic contacts, surface states, band offsets, strain (lattice and thermalmismatch). MOS transistors.

Device characterisation: scanning tunnelling microscopy, transmission electron microscopy.Intended Learning Outcomes:After completing this module you should be able to demonstrate a knowledge and understanding of:

• The issues surrounding the fabrication of semiconductor device technology• Determine a process flow and understand the device technology for fabrication of electronic devices• Simulate fabrication processes using SILVACO Athena TCAD commercial tool• Problem solving• Basic design process and flow• Numerically analyze physical principlesReading List:; D. V. Morgan, K. Board, An introduction to semiconductor microtechnology / D. V. Morgan, K.Board., Addison Wesley Publishing Company,, 1990.ISBN: 0471924784

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

• The module is lecture and laboratory based. Assessment methods include coursework (laboratory report) and writtenexamination.

* Laboratory classes are compulsory. Students must attend at least 70% of the laboratory classes in order for thelaboratory report to be assessed. The laboratory classes can be missed only against a medical form, and personalfamily circumstances.

This module is assessed by a combination of examination and continual assessment. In order for the continualassessment marks to count, you must achieve at least 30% in the exam component. If you achieve less than 30% in theexam, then the module mark will be just the exam mark.”

EGA222 Practical Circuits ACredits: 5 Session: 2019/20 Semester 1 (Sep-Jan Taught)Module Aims:The laboratory modules EGA222 and EGA223 provide a practical experience of some of the material presented intaught modules, including EG-240 Electronic Circuits, EG-241 Electrical Machines, EG-247 Signals and Systems.Experiments on Amplitude Modulation, Frequency Modulation and Digital Modulation are also included to supportthe two Communications modules later in the degree programme.Pre-requisite Modules: EG-151; EG-152; EG-168Co-requisite Modules: EG-240; EG-241; EG-247Incompatible Modules:Format: Laboratory work 20 hours

Directed private study 30 hoursLecturer(s): Dr T Davies, Dr A EgwebeAssessment: Coursework 1 (60%)

Coursework 2 (20%)Coursework 3 (20%)

Assessment Description:Set of experiments to support taught modules, assessed as follows:

• Coursework 1: Formal laboratory report, worth 60% of module• Coursework 2: Laboratory diary inspection, worth 20% of module• Coursework 3: Executive Summary, worth 20% of module

Specific rules for passing this module:This module is assessed by three assignments. In order for ‘Coursework 2’ and ‘Coursework 3’ marks to count, youmust achieve at least 30% in Coursework 1. If you achieve less than 30% in Coursework 1 then the module mark willbe just the Coursework 1 mark.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption:If the examining board awards a student a re-sit, at least one piece of coursework will be set, for example one or morelaboratory reports. The failure redemption is only available to students who had at least 80% attendance at laboratoryclasses during the teaching semester. Students who fail the module and have attended less than 80% of the laboratorysessions may be required to take the module again in the next academic session.Assessment Feedback:Feedback will be provided informally by means of class emails, when laboratory reports are submitted and marked,and in a standard format on the College of Engineering intranet. Information provided includes average marks,maximum and minimum marks for the assessment components as a whole and for individual coursework.Module Content:Electrical Machines experiments:• DC motor in shunt, series and compound mode.• Design, operation, and characteristics of Single-and-Three Phase Transformers.• Modelling, characterisation and control of a Brushless DC motor.• Investigation and characterisation of three-phase induction machine.• Characterisation and control of a Stepper motor.• The operation and positioning of a Linear motor.• Closed-loop speed control of an electrical drive.

Radio Communication experiments:• Investigation of Amplitude Modulation circuits and waveforms• Investigation of Frequency Modulation circuits and waveformsIntended Learning Outcomes:After completing this module you should be able to:• Perform electrical machine experiments according to an open-ended script.• Select and apply instrumentation required for electrical measurements.• Work in small teams to design, build and analyse circuits to a specification• Prepare technical reports using Information TechnologyReading List:;

Additional Notes:• AVAILABLE TO Visiting and Exchange Students• LABORATORY CLASSES ARE COMPULSORY. Students must have at least 80% attendance at laboratoryclasses in order to be allowed to be assessed for the module.• Student with less than 80% attendance, unless with valid extenuating circumstances, may have to repeat the modulein the next academic year (automatic fail).• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.• This module is assessed by three assignments. In order for ‘Coursework 2’ and ‘Coursework 3’ marks to count, youmust achieve at least 30% in Coursework 1. If you achieve less than 30% in Coursework 1 then the module mark willbe just the Coursework 1 mark.

EGA223 Practical Circuits BCredits: 5 Session: 2019/20 Semester 2 (Jan-Jun Taught)Module Aims:The laboratory modules EGA222 and EGA223 provide a practical experience of some of the material presented intaught modules, including:

EG-240 Electronic Circuits: the bipolar transistor, the long tailed pair and the instrumentation amplifier.

EG-241 Electrical Machines: the DC motor, Transformers, and the Induction Motor.

EG-247 Signals and Systems: digital encoding and digital filters.

Experiments on Amplitude Modulation, Frequency Modulation and Digital Modulation are also included to supportthe two Communications modules later in the degree programme.Pre-requisite Modules: EG-151; EG-152; EG-168Co-requisite Modules: EG-240; EG-241; EG-247Incompatible Modules:Format: Laboratory work 20 hours

Directed private study 30 hoursLecturer(s): Dr T Davies, Dr A EgwebeAssessment: Coursework 1 (60%)

Coursework 2 (20%)Coursework 3 (20%)

Assessment Description:Set of experiments to support taught modules, assessed as follows:

• Coursework 1: Formal laboratory report, worth 60% of module• Coursework 2: Laboratory diary inspection, worth 20% of module• Coursework 3: Executive Summary, worth 20% of module

Specific rules for passing this module:This module is assessed by three assignments. In order for ‘Coursework 2’ and ‘Coursework 3’ marks to count, youmust achieve at least 30% in Coursework 1. If you achieve less than 30% in Coursework 1 then the module mark willbe just the Coursework 1 mark.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption:The Failure redemption is only available to students who have at least 80% attendance at laboratory classes during theteaching semester.

If the Examining Board awards a student a re-sit (supplementary) then at least one piece of coursework will be set. Forexample one or more laboratory reports.

Students who fail the module and have attended less than 80% of laboratory sessions may be required to repeat themodule again in the next academic. NOTE: Failed modules cannot be carried over as extra modules to the nextacademic year.Assessment Feedback: Feedback will be provided informally by means of class emails, when laboratory reports aresubmitted and marked and in a standard format on the College of Engineering Community page on Blackboard.Information provided includes average marks, maximum and minimum marks for the assessment components as awhole and for individual coursework.

Module Content:• Formal experimental work associated with Level 2 lecture courses.• An open-ended design exercise will be undertaken.• Further practice in the use of commercial software packages and Technical Report preparation.

Circuits experiments:• The bipolar transistor (BJT) characteristics and as an amplifier.• The long-tailed pair as a difference amplifier.• Design of an instrumentation amplifier and its use as an ECG.

Signals and Systems experiments:• Data Conversion and sampling.• Simple digital filters; Rolling Average and Comb filters.• Finite Impulse response low-pass digital filter.Intended Learning Outcomes:After completing this module you should be able to:• Perform electronic experiments according to an open-ended script• Select and apply instrumentation required for electrical measurements• Work in small teams to design, build and analyse circuits to a specification• Prepare technical reports using Information TechnologyReading List:;Additional Notes:• AVAILABLE TO Visiting and Exchange Students• LABORATORY CLASSES ARE COMPULSORY. Students must have at least 80% attendance at laboratoryclasses in order to be allowed to be assessed for the module.• Students with less than 80% attendance, unless with valid extenuating circumstances, may have to repeat the modulein the next academic year (automatic fail).• The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.• This module is assessed by three assignments. In order for ‘Coursework 2’ and ‘Coursework 3’ marks to count, youmust achieve at least 30% in Coursework 1. If you achieve less than 30% in Coursework 1 then the module mark willbe just the Coursework 1 mark.