Module Specification - University of Leicester · Intended Learning Outcomes ... Module Specification ... Kirchhoff’s Laws, Power, voltage dividers. Thevenin theorem (illustrate

Module Specification

No. Assessment Description Weight % Qual Mark Exam Hours Ass't Group Alt Reass't

011 Examination (Final) 70 3012 Computer examination 1 5014 Computer examination 2 20 1015 Computer examination 3 5017 Resit Examination 100 3 Y

Period: Academic YearOccurence: ECoordinator: Matteo RubagottiMark Scheme: UG Pass for Credit

Academic Year: 2017/8Module Level: Year 1Scheme: UGDepartment: EngineeringCredits: 30

Intended Learning OutcomesAt the end of this module, typical students should be able to apply some mathematical techniques to solve a wide class ofengineering problems. Students should be familiar with the concepts of continuity, integration and differentiation of scalarfunctions. They should be able to manipulate complex numbers, vector products and use basic matrix operations. Theyshould be capable of solving linear differential equations using standard and more advanced techniques (with Laplacetransforms and the convolution Theorem). Students should also be able to express periodic functions in terms of Fourierseries. They should be familiar with the basics of MATLAB and be capable of using iteration methods to find the roots ofequations, simple interpolation and curve fitting techniques, and numerical integration schemes.

Teaching and Learning MethodsLectures, example questions.

Assessment MethodsAssessment will be by mid-year assignments (30%) and end of year examinations (70%). Resit only possible for the formalexamination (100%).

Pre-Requisites

Co-Requisites

Excluded Combinations-

Lectures 50Seminars 22

Practical Classes & Workshops 10Tutorials 12

FieldworkProject Supervision

Guided Independent Study 206Demonstration

Supervised time in studio/workshopWork Based Learning

PlacementYear Abroad

Total Module Hours 300

Student Workload (hours)

EG1001 Maths with Computation

Last Published: 11 July 2018



001 Coursework 1 50002 Coursework 2 (Final) 50

Period: Academic YearOccurence: ECoordinator: Mateusz BocianMark Scheme: UG Pass for Credit


Intended Learning OutcomesThe students are introduced to the elements of engineering design (market survey, design specification, concept design andevaluation, detailed design, manufacturing and after sales) using the problem based learning approach. At the end of thismodule, typical students should be able to convey basic information about engineering components and circuits followingBritish Standards. The students should demonstrate understanding of the use of a computer-aided design (CAD) widely usedin the engineering profession. Following mechanical and electrical design case studies typical students should be able tobreak down a task into sections which can be analysed allowing a complete working system to be designed to meet aperformance requirement.

Teaching and Learning MethodsLectures and practical sessions. A typical week has 2 practical session 2 hours each.

Assessment MethodsCoursework exercises, group reports. It is not normally possible for the assessment to be retaken, and therefore failure of themodule means termination of a student's course.

Pre-Requisites

Co-Requisites



Practical Classes & WorkshopsTutorials







EG1002 Engineering Design




224 Laboratory work 75225 Formal report 1 6226 Formal report 2 (Final) 19

Period: Academic YearOccurence: ECoordinator: Timothy PearceMark Scheme: UG Pass for Credit


Intended Learning OutcomesThis module consists of a twelve practical laboratory exercises to give students support and practical experience of materialcovered in the Mechanical Engineering and Electrical & Electronic Engineering lecture courses. At the end of this module,typical students should have developed skills in conducting experiments, working in groups, technical report writing andevaluating and reporting results. Specifically, the laboratory exercises will be in the areas of structural mechanics, propertiesof materials, fluid mechanics, thermodynamics and heat transfer, DC and AC circuits, digital and analogue eletronics andsignals and systems. Some specific learning outcomes are:

Demonstrate technical report writing and data presentations skills through preparation of two formal assessed reports.Demonstrate accurate record keeping, data presentation and maintenance of logbooks assessed at the end of eachlaboratory.Estimate uncertainty in measurements taken in a variety of engineering contexts.Assess measured behaviour of engineering components alongside idealised theory.Design, create and implement practical solutions to simple engineering problems.Conduct problem solving and troubleshooting in a variety of engineering contexts.Discuss the relationships of experiment to concepts taught in lectures.

Teaching and Learning MethodsIntroductory lecture, supervised laboratory work, two written formal reports (one at the end of each semester)

Assessment MethodsLabwork is assessed during the laboratory sessions based upon student understanding and laboratory notebook. 1 Formalreport is completed per Semester on an allocated experiment and feedback provided. It is not possible to resit this module.

Pre-Requisites

Co-Requisites


Lectures 2Seminars

Practical Classes & Workshops 48Tutorials


Guided Independent Study 46Demonstration 4





EG1003 Experimentation 1




001 Coursework 1 (final) 100

Period: Semester 1Occurence: ECoordinator: Mateusz BocianMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to convey basic information about engineering components using acomputer-aided design system widely used in the engineering profession to produce drawings to British Standards. Typicalstudents should be able to break down a task into sections which can be analysed numerically allowing a complete workingsystem to be designed to meet a performance requirement.

Teaching and Learning MethodsA typical week consists of one lecture, two practical sessions (two hours each) plus private study (typically averaging betweentwo and three hours a week).

Assessment MethodsCoursework exercises. It is not normally possible for the assessment to be retaken, and therefore failure of the module meanstermination of a student's course.

Pre-Requisites

Co-Requisites










EG1015 S1 Engineeering Design




011 Examination (Final) 70 40 3012 Computer examination 1 5013 Computer examination 2 20 1014 Computer examination 3 5016 Re-sit examination 100 3 Y

Period: Academic YearOccurence: ECoordinator: Andrew McMullanMark Scheme: UG Pass for Credit


Intended Learning Outcomes1. To bring students with different educational backgrounds to a common level of knowledge of the basic principles underlyingMechanical Engineering (including the mechanical aspects of Aerospace Engineering).

2. To give the student a basic analytical grounding in the different types of problem encountered in Mechanical Engineeringand an ability to identify the theory required to solve them.

3. To give the student the ability to interpret data and perform a wide range of simple calculations across the fields of materialproperties, structural mechanics, fluid mechanics, thermodynamics and heat transfer.

The students will gain an awareness of the following:*Introduction to mechanical systems and revision of fundamental mechanical concepts.*Stress-strain relation of engineering materials and its microstructure origin. *Mechanical equilibrium - analysis of forces and moments in beams and pin-jointed structures; statically determinate andindeterminate structures. *Stresses in thin-walled pressure vessels.*Stress and deflection of beams; second moment of cross-sections.*Torsion deformation and shear stress of cylindrical shafts.

*Introduction to basic fluid mechanical principles*Hydrostatics, pressure, and manometry*Bernoulli equation, Euler equation and flow measurement devices*Momentum and continuity equations*Laminar and turbulent flows*Viscous losses in pipes, junctions and bends

*Introduction to basic thermodynamic concepts*The Zeroth Law of Thermodynamics*The First Law of Thermodynamics and its application to closed systems*The First Law of Thermodynamics and its application to open systems*Heat transfer: Convection, conduction, and radiation


Practical Classes & WorkshopsTutorials 12







EG1101 Mechanical Engineering



Teaching and Learning MethodsLectures, examples sheets, seminar/assignment/tutorial system, surgery hours. Relevant experiments will be available inEG1003.

Assessment MethodsAssessment will be by mid-year assignments and end of year examination (70%). Resit only possible for the formalexamination.(100%).

Pre-Requisites

Co-Requisites


EG1101 Mechanical Engineering




011 Examination (Final) 70 40 3012 Computer examination 1 5013 Computer examination 2 20 1014 Computer examination 3 5016 Re-sit examination 100 3 Y

Period: Academic YearOccurence: ECoordinator: Alistair McEwanMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this course, students with different educational backgrounds should be able to demonstrate a common level ofknowledge and understanding of some of the basic principles underlying Electrical and Electronic Engineering in the areas ofDC/AC principles, digital and analogue electronics and signals and systems. Students should be able to apply appropriatemathematical methods and engineering tools to the analysis of relevant problems, to identify and describle the performance ofsystems and components relevant to the topics detailed below.

- DC Principles: Resistors and Ohm’s law, Kirchhoff’s Laws, Power, voltage dividers. Thevenin theorem (illustrate withinterfacing transducers, cascading circuits, voltage buffer to change source resistance, Wheatstone bridge), Norton equivalentcircuits, current dividers, superposition, mesh analysis, maximum power transfer at DC.

- AC principles: The characteristics of a sine wave i.e. amplitude, frequency and phase, RMS values and power calculations,relationship between input and output magnitude and phase, Phasors, capacitors and inductors, the concept of a frequencyresponse function as a precursor to transfer functions. First order Bode plots – decibels.

- Digital electronics: Binary and other number systems. Digital Gate, Truth table, Boolean Algebra. Boolean Operators. Logicidentities. Simplifying Boolean expressions. Converting from circuits to Boolean expressions and vice versa. Karnaugh maps:practical minimisation of circuit logic. Static hazards: cause, recognition and avoidance.

- Analogue electronics: Equivalent circuit of simple amplifier, Concept of gain, input and output resistance. Loading effects,Feedback concepts, Basic op-amp circuits. Design rules and calculations. Static characteristics of real op-amps (offsetvoltage, bias current) and effect on circuits. Dynamic characteristics of op-amps (Gain-bandwidth product, slew rate).

- Fundamental properties of systems: linear, nonlinear, time-varying, time-invariant systems. Periodic/non-periodic, specialsignals, Linear system input-output properties, convolution (discrete/continuous), free/forced response.

- Laplace Transforms and their application: properties, application to computation of free and forced responses, s-plane andstability and response type. Solving problems with the Laplace Transform, the transfer function and its importance, transferfunctions of 1st and 2nd order systems (natural frequency, damping, resonance, step response)

- Frequency Domain Properties of Systems: frequency response function, response of system to sinusoidal inputs, Gain andPhase Margins.


Practical Classes & WorkshopsTutorials 12







EG1201 Electrical and Electronic Engineering




Assessment MethodsAssessment will be by mid-year assignments (30%) and end of year examinations (70%).

Pre-Requisites

Co-Requisites


EG1201 Electrical and Electronic Engineering




011 Examination 100 2

Period: Semester 1Occurence: ECoordinator: Stephen GarrettMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to:(1) demonstrate the basic principles of vector calculus, vector integrals and partial differential equations.(2) identify appropriate analytical techniques to solve certain engineering problems.(3) derive and apply the appropriate finite difference method to solve more complex engineering problems.(4) evaluate the effect of changing parameters, such as time step and number of nodes, on the stability and computation time/loading and defining stbility criteria for particular finite difference methods.

Teaching and Learning MethodsLectures, examples sheets, surgery hours, computing practical classes.

Assessment MethodsFormal written examination (100%)

Pre-RequisitesEG1001 - Maths with Computation

Co-Requisites


Lectures 22Seminars








EG2001 Computer-based Modelling




011 Lab Exercises and Report 1 50012 Lab Exercises and Report 2 (Final) 50

Period: Academic YearOccurence: ECoordinator: Rob ThorntonMark Scheme: UG Pass for Credit


Intended Learning OutcomesDiscipline specific knowledge: by the end of the module students will have the ability to:1. Independently plan and conduct experimental work, analyse data collected (using statistical and theoretical methods) anddiscuss experimental results in the context of background theory relating to associated modules in materials, properties andprocessing, thermodynamics and fluid mechanics, mechanics of structures, electrical engineering, communications,electromagnetism and control (appropriate to degree programme and modules studied).2. Perform quantitative error analyses based on errors in measurements and from other sources, and use these to evaluatethe significance of experimental findings.3. Demonstrate an ability to write concise, professional, technical reports of the standard expected in industry.Transferable skills:1. Written communication (via lab notebooks and formal reports)2. Problem solving (by planning and conducting experiments).3. Information handling (through the collection and analysis of experimental data).

Teaching and Learning MethodsLaboratory practical classes, computer practical classes

Assessment MethodsLab reports and notebooks

Pre-RequisitesEG1003 - Experimentation 1

Co-RequisitesEG2102, EG2102, EG2103, EG2201, EG2202, EG2301


LecturesSeminars








EG2003 Experimentation 2




001 Design, Build and Test project 100

Period: Academic YearOccurence: ECoordinator: Nikola ChalashkanovMark Scheme: UG Pass for Credit


Intended Learning OutcomesStudents should be able to conceive-design-implement-operate complex engineering systems in a team and be able to:1.) Explain the actual or potential industrial, societal and environmental relevance of the project, and relate their design to realengineering problems;2.) Identify design specification, and justify the specification;3.) Conceive several design options that all meet the requirement specification, show detailed annotated sketches of designconcepts and develop logical criteria for selection of an appropriate option; 4.) Use engineering analysis to result in an appropriate design and optimize the design on the basis of time, budget, qualityand environmental effects; 5.) Present manufacturing drawings of a final design option and select manufacturing processes for their design; 6.) Build and commission design products and operate their design products7.) Present design to the reviewers and customers in a concise way8.) Report at various stages and be able to discuss lessons-learnt on team working; 9.) Communicate clearly as an individual and as a team.

Teaching and Learning Methodslectures, design classes, computing and hardware practical classes, presentations

Assessment MethodsReports, poster, interviews, performance of designs. It is not possible to retake the assessments

Pre-Requisites

Co-Requisites










EG2005 Engineering Design 2




001 Financial calculation assignment 25002 Business results & reports (Final) 75

Period: Semester 1Occurence: ECoordinator: Martin RhodesMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of the management part of this module, typical students will be able to:1. Analyse financial results to determine the success of business strategies and plans.2. Produce implement, review and amend a sustainable a business strategy, taking account of internal and external factors,financial results and market forecasts.3. Prioritise capital investments and Research and Development (R&D) expenditure to support the business strategy and plan.4. Collectively delegate responsibilities for individual projects based on the strengths and interests of individual teammembers.5. Present business performance and conclusions based on that performance accurately, succinctly and professionally.6. Review and appraise your performance, and that of the team, constructively to identify areas for continuous improvement.7. Appreciate the wider role of business in supporting technology development and manufacturing

Teaching and Learning MethodsSee student workload above.

Assessment MethodsSimulated financial performance, reports, poster, financial calculations.

Pre-RequisitesEG1002, EG1004

Co-RequisitesEG2002


Lectures 1Seminars








EG2017 Business Simulation




012 Computer examination 30 2016 Examination (Final) 70 2.5017 Re-sit examination 100 2.5 Y



Intended Learning OutcomesDiscipline specific knowledge:By the end of the first part of this module (Materials Properties), successful students will have the ability to:(1) Define the basis of common mechanical properties of materials: Young’s modulus, yield strength, tensile strength andfracture toughness; and be able to describe the microstructural factors that influence them in polycrystalline materials.(2) Derive appropriate performance metrics to enable the selection of materials for different engineering applications on thebasis of their objective (i.e. lightweight or minimal cost) and likely failure modes (i.e. stiffness, strength or toughness).(3) Qualitatively describe the microstructural mechanisms of mechanical strengthening in polycrystalline materials, in terms ofthe influence they have on atomic movement and dislocation movement: intrinsic lattice resistance (bonding and crystalstructure), grain size refinement, solid solution strengthening, precipitation hardening and strain hardening.(4) Qualitatively describe key failure mechanisms of engineering materials in terms of their microstructural initiation andprogress and therefore be able to qualitatively describe the characteristics of materials that inhibit or promote thesemechanisms: brittle (fast) and ductile fracture, low-cycle and high-cycle fatigue, oxidation and corrosion.(5) Be able to apply stress intensity methods to the solution of basic fracture problems and common fatigue laws (Paris Law,Miner’s Rule) to predict the fatigue life of engineering materials.

By the end of the second part of this module (Materials Processing), successful students will have the ability to:(1) Describe the fundamental interactions between microstructure and processing in the determination of the mechanicalproperties of engineering materials (polycrystalline metals and ceramics, polymers and composites)(2) Describe the major classes of engineering materials (metals, ceramics, polymers, elastomers, glasses and hybrids) interms of their structure, characteristic properties and typical applications in engineering, and the ways in which they areprocessed to produce engineering components.(3) Quantitatively describe the process of phase change in terms of phase diagrams, thermodynamics and kinetics.(4) Analyse the influence of carbon content and heat treatment on the properties of plain carbon steels, the development ofmicrostructure in heat treatable light alloys, and the major processing routes for polymers and composites.

Transferable skills:(1) Problem solving (by the application of theory and calculation to the selection of materials and processes).

Teaching and Learning MethodsLectures, screencasts, online quizzes, examples sheets, surgery hours

Assessment MethodsBlackboard exam (30%), written exam (70%)

Lectures 44Seminars








EG2101 Materials 1: Properties and Processing



Pre-RequisitesEG1101 Mechanical Engineering.

Co-Requisites


EG2101 Materials 1: Properties and Processing




012 Examination 50 2014 Examination (Final) 50 2015 Resit Examination 100 2.5 Y

Period: Academic YearOccurence: ECoordinator: Audrius BagdanaviciusMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module students should be able to demonstrate that they have an appreciation of the implications of thesecond law of thermodynamics (including the concepts of reversibility and the Carnot cycle), be able to explain the conceptsof entropy change and entropy generation, and calculate the effects of entropy change on practical systems.They should be able to demonstrate that they are familiar with the various types of heat engines and refrigerators available foruse in practical applications (including transportation and power generation) and to analyse a range of idealised gas andvapour power cycles, and vapour compression refrigeration cycles.At the end of this module students should be able to demonstrate that they have gained a basic appreciation of the affects offluid motion on solid boundaries in internal and external flows. Emphasis will be placed on the boundary layer and thegeneration of lift and drag on aerofoils and other solid bodies.

Teaching and Learning MethodsLectures, example sheets, surgery hours. Relevant experiments will be included in EG2003 Exerimentation 2.*Current assessment pattern subject to academic review*

Assessment MethodsThermodynamics part of the module will be assessed by written exam (50%) at the end of semester one.Fluid dynamics part will be assess by written exam (50%) at the end of semester two

Pre-RequisitesEG1101 - Mechanical Engineering

Co-Requisites


Lectures 42Seminars








EG2102 Thermodynamics & Fluid Dynamics




011 Computer examination 30 3013 Examination (Final) 70 2.5014 Re-sit examination 100 2.5 Y

Period: Academic YearOccurence: ECoordinator: Simon GillMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to demonstrate awareness of the fundamental concepts used in theanalysis, modelling and design of static and dynamic mechanical systems, and to apply these to realistic engineeringproblems. Using the methods introduced in this course, students should be able to make sensible deductions about thebehaviour of a wide range of simple mechanical systems, in terms of their motion, the forces and moments acting on them,and the way they are distributed within a solid body. Students should be able to apply the relevant theory and fundamental mathematical tools for the analysis of dynamicsystems, including vector and matrix algebra, Newtonian mechanics, Kinematics and Kinetics of particles, systems of particlesand simple mechanisms.They should also model single-degree of freedom systems, interpret correctly the phenomenon ofresonance and define the natural frequency and damping ratio associated with such systems

Students should also be able to determine stresses, strains and deflections in simple structural components such as beams,columns and pipes subject to loadings such as tension, torsion, compression and internal pressure, and determine their usefulstrength using simple failure criteria including yield, brittle fracture and buckling.


Assessment MethodsAssessment will be by a mid-year computer-aided assignment (30%) and end of year examinations (70%).


Co-Requisites


Lectures 48Seminars








EG2103 Mechanics of Structures




001 Computer examination 30 3002 Examination (Final) 70 2.5003 Resit examination 100 2.5 Y

Period: Academic YearOccurence: ECoordinator: Stephen DoddMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to demonstrate an awareness of the key facts, mathematicalprinciples, concepts and theories relating to the field of Electrical Engineering. In particular the students will be able to:(1) Solve engineering problems involving single and three-phase ac circuits, calculation of active, reactive and apparentpower in ac circuits, power factor correction, resonance in electrical circuits and the design of wound electro-magneticcomponents. (2) Apply engineering principles of magnetic circuits and limitations of magnetic materials to the analysis, design andprediction of performance of wound electrical equipment including power inductors and transformers, (3) Apply engineering principles to the design of DC power supplies.(4) Apply the principle of electro-mechanical energy conversion to different DC and three-phase AC electrical machines(synchronous and induction) for prediction of machine characteristics and steady state performance. (5) Be aware of design considerations and industrial applications of AC electrical machines..


Assessment MethodsAssessment will be by Blackbord test in week 12 (30%) and end of year examination (70%).

Pre-RequisitesEG1201 - Electrical and Electronic Engineering.

Co-RequisitesEG2203 - Electromagnetism and Electronics.


Lectures 44Seminars








EG2201 Electrical Engineering




001 Examination (blackboard) 1 50 2.5002 Examination (blackboard) 2 50 2.5003 Resit Examination 100 3 Y

Period: Academic YearOccurence: ECoordinator: Alan StockerMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to answer questions on the basic theory governing electromagneticfield and wave effects in electrical applications, and on the main modulation and coding techniques employed incommunications systems. They should be able to: (1) recognise and apply the basic concepts behind communicationsystems (Information source, sender, channel, receiver, output etc.); (2) recognise and apply the basic concepts behindAnalogue modulation and digital modulation and be able to discuss the relative advantages of analogue and digitalcommunication systems; (3) manipulate the mathematical detail of amplitude, frequency, phase and pulse amplitudemodulations; (4) recognise and apply the concept of fixed and variable-length coding, including error checking and correctionthrough simple (odd/even) parity checks, block parity and Hamming codes, Huffman coding and Shannon’s theorem; (5)recognise and apply the concept of digitisation for the transmission of analogue waveforms by digital means; (6) derive usefulresults from Maxwell’s equations, such as the planar wave equation, polarisation skin depth and power flow and loss; (7)solve questions about transmission lines, including propagation of pulses on transmission lines, transmission and reflectioncoefficient, impedance matching, space-time diagrams, calculation of velocity and impedance from L and C; (8) solvequestions on guided waves including the effect of the dimensions of a rectangular waveguides, cut off, phase and groupvelocities, and dispersion.

Teaching and Learning MethodsLectures, ConcepTests, peer-peer learning, examples sheets and Blackboard quizzes, surgery hours, directed reading.Relevant experiments will be available in EG2003.

Assessment MethodsTwo computer based examinations. Resit is by single written exam and replaces original examination marks.

Pre-RequisitesEG1201 Electrical and Electronic Engineering.

Co-Requisites


Lectures 48Seminars








EG2202 Communications 1




001 Blackboard test (week 12) 30 3002 Examination (final) 70 2.5003 Resit examination 100 2.5 Y



Intended Learning OutcomesElectromagnetism and Semiconductor Materials:At the end of this module, typical students should be able to discuss the basic principles of electromagnetism and applythem to solve simple engineering problems. These include the calculation of the capacitance of simple geometrysystems, the definition and calculation of inductance, and the design of simple electromagnetic circuits. They shouldalso be able to define the relationship between magnetic fields and electrical currents and carry out simple calculationsof electrical and magnetic forces. They should be able to describe a semiconductor and show how its conductivity can becontrolled by doping.

Analogue and Digital Circuits:Typical students should be able to: (1) discuss the basic principles of diodes, bipolar transistors, mosfets and their use in transistor amplifiers and other analoguecircuits; (2) apply these principles to the design and analysis of transistor amplifiers of various classes; (3) understand the differencesbetween combinational and sequential digital circuits; (4) undertake designs of both synchronous and asynchronous digital circuits.

Teaching and Learning MethodsLectures, examples sheets, seminar/assignment/tutorial system, surgery hours. Relevant experiments will be available inEG2003.*Current assessment pattern subject to academic review*

Assessment MethodsAssessment will be by mid-year assessment (30%) and end of year examination (70%).

Pre-RequisitesEG1201 - Electrical and Electronic Engineering.

Co-Requisites


Lectures 48Seminars








EG2203 Electromagnetism and Electronics




001 Coursework 1 25002 Coursework 2 25003 Coursework 3 25004 Coursework 4 (final) 25005 Resit examination 100 2 Y

Period: Academic YearOccurence: ECoordinator: Andrew NormanMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to:1. Design software for single-processor embedded applications based on small, industry standard, microcontrollers.2. Design software for multi-processor embedded applications, using CAN and related protocols.3. Implement a software design using a high-level programming language.

Teaching and Learning MethodsSeminars, computing exercises and practical classes. Guided Independent Study takes place mainly by private study (withsome additional support provided in laboratory sessions).

Assessment MethodsComputing exercises, including oral defence of work (100%). Resit by examination. Formative assessment takes place byproviding feedback to students on submitted coursework.

Pre-RequisitesEG1214

Co-Requisites


LecturesSeminars 22








EG2204 Embedded Systems




001 Examination (final) 100 2002 Resit examination 100 2 Y

Period: Semester 2Occurence: ECoordinator: Andrea Lecchini VisintiniMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to analyse the dynamical properties of simple Engineering systemor process described by single-input single-output continuous-time transfer functions. They should be able to discuss theperformance of feedback control loops, to deigns simple feedback loops and to analyse their properties in terms of stability,and robustness in the face of modelling uncertainties. They should be able to demonstrate knowledge of the simplificationsused to obtain a control solution and identify possible limitations in the solution proposed. The laboratory component of thismodule contributes to the continuing development of skills in conducting experiments, working in groups, and evaluating andreporting results. Syllabus: introduction to the feedback control problem, transfer functions definition and properties, root locus methods, controlanalysis and design in the frequency domain .

Teaching and Learning MethodsLectures, examples sheets, seminar/assignment/tutorial system, surgery hours. Relevant experiments will be available in EG2003

Assessment MethodsEnd of year examination (100%)

Pre-Requisites

Co-Requisites


Lectures 22Seminars








EG2301 Classical Control




014 Examination (Final) 70 2.5015 Resit Examination 100 2.5 Y016 Computer examination 30 2



Intended Learning OutcomesDiscipline specific knowledge:By the end of the first part of this module (Materials Properties), successful students will have the ability to:(1) Define the basis of common mechanical properties of materials: Young’s modulus, yield strength, tensile strength andfracture toughness; and be able to describe the microstructural factors that influence them in polycrystalline materials.(2) Derive appropriate performance metrics to enable the selection of materials for different engineering applications on thebasis of their objective (i.e. lightweight or minimal cost) and likely failure modes (i.e. stiffness, strength or toughness).(3) Qualitatively describe the microstructural mechanisms of mechanical strengthening in polycrystalline materials, in terms ofthe influence they have on atomic movement and dislocation movement: intrinsic lattice resistance (bonding and crystalstructure), grain size refinement, solid solution strengthening, precipitation hardening and strain hardening.(4) Qualitatively describe key failure mechanisms of engineering materials in terms of their microstructural initiation andprogress and therefore be able to qualitatively describe the characteristics of materials that inhibit or promote thesemechanisms: brittle (fast) and ductile fracture, low-cycle and high-cycle fatigue, oxidation and corrosion.(5) Be able to apply stress intensity methods to the solution of basic fracture problems and common fatigue laws (Paris Law,Miner’s Rule) to predict the fatigue life of engineering materials.

By the end of the second part of this module (Aircraft Performance), successful students will have the ability to:(1) Derive equations describing the performance of aircraft in straight-level flight using first principles and point mass models.(2) Derive equations describing the performance of aircraft during other steady-state conditions such as steady climb/glide,coordinated turns and take-off.(3) Describe the importance of “optimal” flying conditions with respect to the minimum drag and minimum power conditions.(4) Describe the link between basic aircraft geometry and static stability. In particular, to be able to describe the importantrelationship between the aerodynamic centre of an aircraft, the centre of mass and the tail-plane, and carry out simplederivations relating to the static stability characteristics.

Transferable skills:(1) Problem solving (by the application of theory and calculation to the selection of materials and analysis of aircraftperformance).

Teaching and Learning MethodsLectures, screencasts, online quizzes, examples sheets, surgery hours.

Assessment MethodsBlackboard exam (30%), written exam (70%)

Lectures 42Seminars








EG2401 Introduction to Aircraft Materials and Performance




Co-Requisites


EG2401 Introduction to Aircraft Materials and Performance




001 Interim Report 20002 Technical Achievement 35003 Presentation 15005 Final Report (Final) 30006 Resit Assignment 100 Y

Period: Academic YearOccurence: ECoordinator: Andrew NormanMark Scheme: UG Pass for Credit


Intended Learning OutcomesTo integrate the knowledge obtained throughout the undergraduate course in a realistic exercise in the practice of engineeringat a professional level; to give the opportunity for individual study and for the development of personal and technical skills; todevelop techniques of communication, both oral and written. At the end of this module, students should be able to

(1) discuss in detail a specific project plan to be executed during the 3rd year.(2) evaluate the progress of their project with respect to the project plan.(3) organise a schedule for the work remaining to be completed in the project.(4) give a formal seminar presentation of their projects.(5) write a project proposal, an interim report and a final report.

Teaching and Learning MethodsRegular individual meetings with supervisor, seminars and presentations.

Assessment MethodsWritten reports, seminar presentation and oral examination.

Pre-Requisites

Co-Requisites


Lectures 1Seminars


FieldworkProject Supervision 20






EG3005 Third Year Project




011 Examination (Final) 100 2

Period: Semester 1Occurence: ECoordinator: Martin RhodesMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to: (1) discuss a range of management topics related particularly to the relationship between business and the wider society; (2) define key concepts in these topics and (where appropriate) describe the legal rights and obligations of the partiesinvolved showing some knowledge of relevant specialised vocabulary; (3) discuss the role of other bases for conduct such as ethical standards and professional codes. Topics covered will typically include aspects of marketing, staff motivation, liability for health and safety of the workforce andfor product safety, intellectual property, quality management and response to environmental concerns.

Teaching and Learning MethodsLectures. Independent study and reflection based on: lecture notes, personal work experience, current news, library andinternet sources, etc.

Assessment MethodsFormal written examination

Pre-Requisites

Co-Requisites

Excluded Combinations

Lectures 22Seminars








EG3007 Management




011 Examination (Semester 1 - Failure mechanisms) 50 2012 Examination (Semester 2 - Trbology) (Final) 50 2013 Resit examination (Failure mechanisms and Tribology) 100 2 Y



Intended Learning OutcomesDiscipline specific knowledge:By the end of the first part of this module (Failure Mechanisms), successful students will have the ability to:(1) Qualitatively describe, in detail, the microstructural processes that occur during deformation and failure mechanisms:elastic and inelastic deformation, low and high temperature brittle and ductile fractures, and low-cycle and high-cycle fatiguefailures; and therefore identify materials likely to be resistant to each type of failure on the basis of their microstructuralmechanisms of mechanical strengthening.(2) Use deformation and failure mechanism maps to predict the dominant creep and fracture mechanisms that materials arelikely to experience under given temperature and stress conditions.(3) Apply stress intensity methods to the solution of fracture problems involving plane stress and plane strain conditions,uniaxial and biaxial tension, applying appropriate compensations for crack tip plasticity, for a variety of 2D and 3D crackgeometries.(4) Use combinations of major fatigue laws (Paris Law, Basquin Law, Coffin-Manson Law, Miner’s Rule), with appropriatecompensations for non-zero mean stresses, to predict the fatigue life of engineering components, and be able to describe thelimitations of each technique.

By the end of the second part of this module (Tribology), successful students will have the ability to:(1) Qualitatively describe: common metrological techniques used to characterize surfaces, their relative resolutions,magnifications and areas/volumes of observation/measurement; the basic components of surface roughness and theadvantages and disadvantages of commonly used roughness parameters.(2) Describe the assumptions and limitations of Hertzian contact mechanics and the impact of common non-Hertzian effects.Apply Hertzian contact mechanics in determining the stresses and pressure distributions between line, point and ellipticalcontacts, and be able to select an appropriate contact model for a variety of engineering applications.(3) Derive mathematical models of abrasive and adhesive wear mechanisms and qualitatively describe the characteristics ofother common wear mechanisms (contact fatigue, oxidative wear, erosive and impact wear, fretting).(4) Characterise the behavior of lubricants and apply empirical techniques in the prediction of bearing life and bearingselection.(5) Offer surface engineering solutions to common tribological problems.(6) Evaluate tribological systems in terms of surface characteristics (material pair and roughness), contact geometry (line,point and elliptical contacts), relative motion (rolling or sliding, amplitudes of and directions of motion) and lubricationmechanisms (solid or fluid, boundary, hydrodynamic or elasto-hydrodynamic).

Transferable skills:(1) Problem solving (by the application of theory and calculation to tribological systems).

Lectures 42Seminars








EG3101 Materials 2: Failure Mechanisms and Tribology



Teaching and Learning MethodsLectures, screencasts, examples sheets, surgery hours, directed reading.

Assessment MethodsWritten examination (100%)

Pre-RequisitesEG2101 Materials 1.

Co-Requisites


EG3101 Materials 2: Failure Mechanisms and Tribology




011 Examination (Final) 80 3012 Computer examination 20 3013 Re-sit examination 100 3 Y

Period: Academic YearOccurence: ECoordinator: Shian GaoMark Scheme: UG Pass for Credit


Intended Learning OutcomesFluid DynamicsAt the end of this module, typical students should be able to: (1) Discuss the effects of compressibility in flows and define the speed of sound and the Mach number(2) Apply the conservative laws in reduced form to one-dimensional compressible isentropic flows; (3) Derive the jump conditions through normal and oblique shocks and Prandtl-Mayer expansion fans;(4) Apply the jump conditions to one and two-dimensional shock-containing flows;

Turbulence and Heat TransferAt the end of this module, typical students should be able to: (1) Derive the Reynolds equations for incompressible fluids and understand the concept of turbulence modelling;(2) Use analytical and finite-difference methods to find solution of steady and non-steady conduction problems; (3) Evaluate forced convective heat transfer across boundary layers and in tubes;(4) Perform free convection analysis on surfaces and understand the related turbulence effects;(5) Perform heat transfer analysis related to pool boiling and film condensation; (6) Evaluate different heat exchanger types and calculate the overall heat transfer coefficient;(7) Perform radiation analysis at a surface and conduct radiation exchange calculations.

ThermodynamicsAt the end of this module, typical students should be able to:(1) Perform a general energy analysis of a system.(2) Perform thermodynamic calculations of gas mixtures.(3) Perform thermodynamic calculations of combustion, determine flame temperatures.(4) Use exergy as a measure of work potential for evaluating different energy conversion processes.

Teaching and Learning MethodsLectures, examples sheets, surgery hours.

Assessment MethodsFormal written examination and Blackboard test.

Pre-RequisitesEG2102 Thermodynamics and Fluid Dynamics.

Co-Requisites

Lectures 44Seminars








EG3102 Thermodynamics & Fluid Dynamics 2




EG3102 Thermodynamics & Fluid Dynamics 2




011 Examination (sem 1) 50 2012 Examination (sem 2) (Final) 50 2013 Resit examination 100 3 Y

Period: Academic YearOccurence: ECoordinator: Mateusz BocianMark Scheme: UG Pass for Credit


Intended Learning OutcomesSemester 1 covers Elastic Analysis and Semester 2 covers Dynamics of Mechanical Systems.

Elastic analysis provides the students an understanding of linear elasticity problems and an introduction to the finite elementmethod for elastic stress analysis. At the end of the modules students should be able to understand the theory of the finiteelement method and should have gained practical experience with using a commercial finite element package to solve simplelinear elastic problems.

Elastic analysis covers the basic equations in linear elasticity (equilibrium, constitutive law, compatibility of strain) and thefinite element method (1D bar and beam element and 2D triangular element formulation, stiffness matrix, assembly, solution)including dynamic analysis. The practical classes include of truss problems (1D), stress concentrations (2D), dynamicanalysis problem, and an engineering design problem using finite element analysis.

At the end of this module, students will know how to use the concepts of kinetics of rigid bodies in planar motion, kinematicsof rigid bodies in three dimensions, kinetics of rigid bodies in three dimensions, Euler's equations of motion for a rigid body,vibrations of two degree-of-freedom systems, vibrations of multi degree-of-freedom systems and to apply these to the analysisof a broad range of engineering dynamics applications. Students will be introduced to analytical dynamics in order to solveadvanced engineering applications.

Teaching and Learning MethodsElastic analysis: lectures, example questions and practical exercises using a commercial finite element package.Dynamics of Mechanical Systems: lectures, example questions.

Assessment MethodsWritten examinations at end of each semester (50% each).

Pre-Requisites

Co-Requisites


Lectures 38Seminars








EG3103 Mechanics of Structures 2




001 Formal written examination 100 2

Period: Semester 2Occurence: ECoordinator: Hugo WilliamsMark Scheme: UG Pass for Credit


Intended Learning Outcomes1. Explain the interaction of microstructure, processing and properties of aluminium and titanium alloys, high temperatureNibasealloys and composites used in structural aerospace components.2. Select and critique the choice of different classes of materials in common aerospace structural configurations.3. Explain the drivers and processes of single crystal technology for manufacturing gas turbines.4. Undertake basic design calculations and propose appropriate lay-ups for polymer composite materials used in typicalaerospace structural configurations.5. Select and justify material constituents, forms and manufacturing processes for polymer composite materials.6. Describe the functionality and physical mechanisms applied in common 'smart' or 'multifunctional' materials.

Teaching and Learning MethodsLecture sessions incorporating active learning tasks, Blackboard site including web-links and additional materials. Exampleproblem booklet. Outline lecture plan (approximate number of session on each topic indicated in brackets (x): Introduction torelevant aerospace systems (3); Light alloys Al, Ti etc. (5); Ni-superalloys (4); Polymer composite materials (6); Smart/multifunctional materials (2); Case study/example classes (2).

Assessment MethodsFormal written examination

Pre-Requisites

Co-Requisites


Lectures 22Seminars








EG3121 Aerospace Materials




001 Examination (Semester 1) 50 2002 Examination (Semester 2) (Final) 50 2003 Resit examination 100 3 Y

Period: Academic YearOccurence: ECoordinator: Harold RuizMark Scheme: UG Pass for Credit


Intended Learning OutcomesPower Electronics (Semester 1):At the end of this module, typical students should be able to:(1) Explain the basic physical principles of power semiconductor switch structures (diodes, transistors, etc) and their operatingbehaviours. (2) Implement appropriate power semiconductor switches and passive components in a switching converter based on designrequirements. (3) Demonstrate the operating principles of basic converter topologies (ac/dc, dc/ac, dc/dc and ac/ac) and solve theiroperations under steady-states. (4) Solve non-isolated and isolated dc/dc converters and conduct the converter efficiency analysis. (5) Calculate and explain dc/dc converters operating in CCM and DCM exploiting the basic closed loop control circuitry. (6) Analyse the functional principles of ancillary circuits including gate drivers, thermal interface, protection circuits and filters.Power Systems Analysis (Semester 2): At the end of this module, typical students should be able to:(1) Recognize the present and future trends in electric power systems by describing the structure of the electric utility industry,their components, and differences between the American and European practices.(2) Retain the basic concepts and phasor representations of balanced and unbalanced three-phase networks.(3) Describe the basic theory, design and different kind of connections for practical three-phase transformers under steady-state conditions and their equivalent representation in the per-unit system.(4) Implement the two-port network representation for the analysis of short, medium, and long distance three-phasetransmission lines for underground and overhead transmission and distribution systems.(5) Design iterative computer methods for the solution of power-flow problems, estimating the input/output data in the per-unitsystem.(6) Construct the bus impedance matrix for the analysis of fault currents.

Teaching and Learning MethodsLectures, examples sheets, seminar/assignment/tutorial system, surgery hours.

Assessment MethodsAssessment will be by end of semester examinations (50% + 50%).

Pre-Requisites EG2201, EG2203

Lectures 44Seminars








EG3201 Electrical Power



Co-RequisitesEG2202 - Communications.


EG3201 Electrical Power




011 Laboratory Exercises 25012 Design Exercise 25013 Computer-based assessment (Semester 1) 50 3014 Resit Examination 100 2 Y

Period: Academic YearOccurence: ECoordinator: David SiddleMark Scheme: UG Pass for Credit


Intended Learning OutcomesOn completion of the module, a typical student will have be able to: 1. state the system limitations on radio wave propagation effects due to various environments.2. advise on the use of antennas and antenna arrays for transmission and reception,3. explain the principles of operation of a superheterodyne radio receiver4. distinguish between digital modulation methods, and their distortions due to noise and channel distortions;6. suggest coding and complex modulation formats to negate the effects of noise and fading, and;7. state the relevant parameters of voice and picture encoding techniques8. model various components of a digital communication system using MATLAB and the associated communicationsblockset; 9. predict the effect of noise and distortion on the digital signal;10. assess the efficacy of various coding schemes in negating the effects of noise and fading; and choose methods of voiceand picture encoding to suit the digital signal to be enhanced11 apply original thought to the development of practical design within given constraints. 12. demonstrate logical thought through writen communication and 13. use the output of a computational design tool to evaluate designs against given criteria.

Teaching and Learning MethodsSemester 1 - Lectures, example sheets, surgery hours.Semester 2 - Seminars, directed reading, laboratory work, design exercise.

Assessment Methods2.5-hour Blackboard test (50%).Laboratory exercises (25%).Design exercise (25%).

Pre-RequisitesEG2202 Communications

Co-Requisites

















001 Programming assessment 1 25002 Programming assessment 2 25003 Programming assessment 3 25004 Programming assessment 4 (Final) 25



Intended Learning OutcomesAt the end of the first part of this module, typical students should be able to demonstrate understanding of the process ofproblem solving using computer programming. They should be able to write, compile, and execute code to solve typicalengineering problems, and to identify and correct errors in their own and others' code. They should have an understanding ofthe fundamental principles which underly most modern computer programming languages.

At the end of the second part of this module, typical students should be able to:(1) demonstrate knowledge of what reconfigurable hardware is, and its relation to software and hardware systems;(2) demonstrate appreciation of the issues in building and reasoning about (practical) concurrent, communicating systems andthe benefits that concurrency offers;(3) demonstrate an ability to develop inherently concurrent applications within an IDE;(4) demonstrate competence with the VHDL programming language and associated FPGAs;(5) apply these principles to the design, analysis and implementation of FPGA circuits.

Teaching and Learning MethodsLectures, examples sheets, design assignment, surgery hours.

Assessment MethodsAssessed laboratory exercises.Resit by written examination.

Pre-Requisites

Co-Requisites


Lectures 22Seminars








EG3204 Programmable Electronics




001 Assignment 1 25002 Assignment 2 25003 Assignment 3 25004 Assignment 4 (final) 25005 Resit exam 100 2 Y

Period: Academic YearOccurence: ECoordinator: Luciano OstMark Scheme: UG Pass for Credit


Intended Learning OutcomesSemester 1 covers multi-core and Semester 2 covers programmable microelectronic systems.

At the end of first part of this module, students should be able to take advantage of the performance enhancements providedby multi-core systems. This module will cover: programming models, parallel algorithms, and programming languages that areappropriate for the multi-core era. In this regard, the students should be able to:

(1) explain and illustrate the main challenges in programming multi-core systems; (2) demonstrate an ability to develop parallel applications and reason about parallel code; (3) exploit features of different programming models and tools commonly used in this domain.

At the end of the second part of this module, typical students should be able to: (1) demonstrate knowledge of what reconfigurable hardware is, and its relation to software and hardware systems; (2) demonstrate appreciation of the issues in building and reasoning about (practical) concurrent, communicating systemsand the benefits that concurrency offers; (3) demonstrate an ability to develop inherently concurrent hardware; (4) demonstrate competence with VHDL and associated tools for FPGAs; (5) apply these principles to the design, analysis and implementation of FPGA circuits.

Teaching and Learning MethodsIntroductory lecture, supervised laboratory work, practical exercises, written formal reports.

Assessment MethodsAssessed laboratory exercises (50% for semester 1 and 50% for semester 2)Resit by written examination.

Pre-Requisites

Co-Requisites

Lectures 22Seminars








EG3205 Programming Microelectronic and Multi-Core Systems




EG3205 Programming Microelectronic and Multi-Core Systems




011 Examination (Final) 100 2

Period: Semester 1Occurence: ECoordinator: Matteo RubagottiMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of the module, students should be able to:(1) define and discuss the basic properties of dynamical systems in state space form;(2) formulate simple state-space models of electrical or mechanical systems based on physical principles;(3) apply the concept of linearisation to obtain local linear models of nonlinear systems;(4) analyse the essential characteristics of a control system such as asymptotic stability, controllability and observability;(5) design state feedback controllers (based on pole placement and on optimal control), and full-order state observers;(6) evaluate the effect of controller tuning on the closed-loop response of the plant;(7) apply basic functionalities of the control software package Matlab in control system analysis and design.

Teaching and Learning MethodsLectures, examples sheets, surgery hours, essays, CAD/computing practical classes.

Assessment MethodsFormal written examination (100%)

Pre-RequisitesEG1201 Electrical and Electronic Eengineering.EG2301 Classical Control.

Co-Requisites


Lectures 22Seminars








EG3311 State Variable Control




001 Formal written examination 100 2

Period: Semester 1Occurence: ECoordinator: Rafael Morales ViviescasMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of the module students should be able to apply deterministic and statistical modeling techniques to particularapplication problems. Skills include being able to select a particular method from standard pattern recognition techniquessuch as linear discriminant functions, fuzzy and neural networks; demonstrate understanding on random variables andconcepts frominformation theory, being able to fit a distribution to data collected in the field; calculate error probability for a statisticalclassifier; calculate optimal decision boundaries for data classification problems and recognize different forms of patternrecognition problems such as classification and regression.

Teaching and Learning Methodslectures, example sheets, directed reading, surgery hours

Assessment MethodsFormal written examination 100%

Pre-RequisitesEG3322 Signal Processing 1

Co-Requisites


Lectures 20Seminars








EG3312 Modelling and Classification of Data





Period: Semester 2Occurence: ECoordinator: Andrea Lecchini VisintiniMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, students should be able to analyse the dynamical properties of simple Engineering system orprocess that includes digital and/or sampled elements. They should be able to discuss the performance of computercontrolled feedback loops, and to analyse the expected performance of the digital implementation of a feedback loop. Theyshould be able to demonstrate knowledge of the simplifications used to obtain a digital control solution and identify possiblelimitations in the solution proposed. Syllabus: introduction to computer controlled systems, the Z-transform, difference equations, the Zero Order Hold (ZOH),digital implementation of feedback controllers, frequency response of discrete-time systems, control design n discrete time.

Teaching and Learning MethodsLectures, example sheets, surgery hours, directed reading.

Assessment MethodsEnd of year examinations (100%)

Pre-RequisitesEG2301 Classical Control.EG3110 State Variable Control.

Co-Requisites


Lectures 22Seminars








EG3321 Digital Control





Period: Semester 2Occurence: ECoordinator: Fernando SchlindweinMark Scheme: UG Pass for Credit


Intended Learning OutcomesThis module will provide an understanding of the background theory associated with discrete system analysis followed by areview of design methods associated with the main classes of discrete systems. There will be a structured series of lecturesand exercise classes. The course will start with a review of the fundamental principles of data conversion and the backgroundtheory of discrete signals and systems. Familiarity with continuous linear system theory and complex algebra will be assumed.Students will acquire a working knowledge of discrete system analysis and design techniques and will be able to read andunderstand the extensive literature in this field. At the end of this module students should be able to:• Read and demonstrate understanding of the established literature in the field of discrete-time signal processing.• Analyse and predict the response of known linear time-invariant discrete systems.• Design linear time-invariant FIR and IIR filters from either time or frequency domain representations.• Interpret the spectra of discrete-time signals.• Design appropriate schemes for the spectral analysis of discrete-time signals.

Teaching and Learning MethodsLectures, lecture notes, example sheets, surgery hours.


Pre-RequisitesEG1001 Maths with ComputationEG1201 Electrical and Electronic Engineering

Co-Requisites


Lectures 22Seminars








EG3322 Signal Processing I




011 Examination (semester 1) 50 2012 Examination (semester 2) (Final) 50 2

Period: Academic YearOccurence: ECoordinator: Emmanuel PrempainMark Scheme: UG Pass for Credit


Intended Learning OutcomesThe lectured part of this year long module consists of an introduction to aircraft navigation systems, aircraft dynamics,modelling and control. The students will be taught about air data information, air data laws, air data sensors andmeasurements. Introduction to aircraft navigation, basic principles of navigation, radio direction finding, radio ranges, as wellas inertial navigation. A brief outline of the avionics systems and the role of multi function displays, head-up-displays, andflight pages in navigation and guidance will be provided. Flight practicals are carried out at Cranfield at the beginning of thefirst semester and consist of "flying at Cranfield University" with briefing and de-briefing at Leicester. The first flight concernsDrag and Aircraft Performance while the second flight is about the assessment of Longitudinal Static and Manoeuvre Stability,Longitudinal Dynamic Stability and Lateral-Directional Dynamic Stability

The second semester part concerns aircraft flight dynamics and control. Students will be introduced to standard aircraftenvironmental modelling assumptions (e.g. flat Earth assumption, inertial Earth, standard atmospheric models) as well as tothe various coordinate systems used to describe aircraft motion (inertial, aerodynamic and body axes). The basic principlesrequired to model aerodynamic forces (lift, drag, side-force) as well as rolling, pitching and yawing moments will be presented.The notions of equilibrium flight conditions, static stability, stability derivatives and control as well as the derivations of the 6-degree-of-freedom airframe equations of motion will be given. State-space equations governing airframe longitudinal andlateral-directional dynamics, airframe modes (e.g. short-period, phugoid), airframe responses from disturbances and demandswill be discussed thoroughly.

At the end of the module a typical student will be able to use of a wide range of techniques for the modelling and the analysisof a fixed-wing aircraft.

Teaching and Learning MethodsClassroom Lectures, pre-flight briefings, lecture at the aircraft, flight practicals, workshop to analyse data taken on the flightpracticals, example questions.

Assessment MethodsFormal written examinations.

Pre-RequisitesEG2103 - Mechanics of StructuresEG2401 - Intro to Materials & Aircraft PerformanceEG3311 - State Variable Control

Lectures 40Seminars


Fieldwork 3Project Supervision






EG3401 Flight Dynamics Control and Navigation



Co-RequisitesEG3103-Dynamic of Mechanical Systems


EG3401 Flight Dynamics Control and Navigation




001 Plan implementation 30002 Technical achievement 30003 Group Report (final) 40

Period: Academic YearOccurence: ECoordinator: Stephen DoddMark Scheme: UG Pass for Credit


Intended Learning OutcomesThe principal idea behind the MEng project is to give students the simulated experience of a group project in industry, fromforming the team and developing the project through to managing the team and implementing the project plan. At the end ofthis module, students should demonstrate that they can integrate skills obtained throughout their degree programme in orderto execute and report on engineering project work at a professional level appropriate to an MEng graduate, especially inrelation to coordinating and managing their work within their team.

Teaching and Learning MethodsTechnical and management meetings with supervisor, customer and peer group.

Assessment MethodsThree progress reports each worth 10% (plan implementation)Final group report and technical achievement assessed by presentations to the supervisor and examiner at the end of theyear. All marks will be affected by a peer assessment weighting, moderated by the supervisor and examiner.

Pre-Requisites

Co-Requisites


LecturesSeminars








EG4006 Fourth Year Project




001 Session performance 25002 Essay (PPD) 25003 Coursework (society) 15004 Exam (final) 35 1005 Resit exam 100 2 Y

Period: Semester 1Occurence: ECoordinator: Alan StockerMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to discuss critically aspects of the relationship between technology,engineering and society and their interactions. A number of specific topics will have been covered in order to illuminatedifferent aspects of this relationship, such as the history of technology, innovation and technology transfer. Furthermore, atypical student should be able to analyse, research, and present a reasoned argument on his or her personal and professionaldevelopment in a clear and concise manner.

Teaching and Learning MethodsLectures, directed reading, student presentations, contributing to teamwork in leading sessions, debates, posters and essays.

Assessment MethodsFormal written examination (35%), essay and coursework (30%), and presentations, contributions to debates, andcontributions to sessions led by team (35%)

Pre-Requisites

Co-Requisites


LecturesSeminars 10








EG4017 Engineering in Society, Ethics and Professional Development




001 Formal report on lab work 30002 Exam (final) 70 2003 Resit exam 100 2 Y

Period: Semester 1Occurence: ECoordinator: David WestonMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of the module students should be able to: Demonstrate knowledge of the theoretical background of differenttribological interactions. Produce a formal report on practical work undertaken in the course, which demonstrates practicalexperience with a range of experimental characterization techniques to determine the relevant engineering properties of asurface engineered component. Process experimental data and apply theoretical formulae in the interpretation of said datawith particular relevance to demonstrating the character and mechanical response of a surface engineered component.Coordinate laboratory work as part of a small group. Identify suitable surface engineering solutions to given tribologicalproblems. Display knowledge of the different types of surface engineering techniques available to the engineer.

Teaching and Learning MethodsLectures, practical laboratory work, self study

Assessment MethodsFormal report on laboratory work 30% Formal written examination 70%

Pre-RequisitesEG3360 Tribology

Co-Requisites










EG4111 Understanding Surfaces




001 Examination (final) 100 2

Period: Semester 1Occurence: ECoordinator: Shian GaoMark Scheme: UG Pass for Credit


Intended Learning OutcomesIn this module, students will be exposed to a range of contemporary developments in fluid dynamics. This will includeresearch activities in computational and experimental fluid dynamics. On completion, typical students should be able toexercise a balanced and critical perspective on the roles of computational, experimental and theoretical work in advancedfluid dynamics and the associated design and testing work in industry.

Teaching and Learning MethodsLectures, examples sheets, surgery hours, coursework assignments.

Assessment MethodsFormal written examination 100%

Pre-RequisitesEG3102

Co-Requisites


Lectures 20Seminars








EG4112 Advanced Fluid Dynamics




001 Exam (final) 100 2

Period: Semester 1Occurence: ECoordinator: Jingzhe PanMark Scheme: UG Pass for Credit


Intended Learning OutcomesThis module provides the students with an advanced theoretical grounding as well as hands on practical experience inmodern finite element analysis for structure analysis. At the end of this module, students should be able to

a) use the finite element method for stress analysis in practical engineering design. b) chose correct constitutive laws and failure theory in the finite element analysis for the design of different engineeringstructures and equipment under different conditions

Syllabus

Lectures cover (a) using finite element analysis in engineering design(b) energy principles and finite element method (c) constitutive laws of engineering materials Practice sessions cover finite element analysis of(a) Long and short beams and plastic beams(b) Stress concentration and plasticity(c) Use of sub-models for global and local analysis(d) Creep and stress relaxation of joints

Teaching and Learning MethodsLectures (one hour per week) and supervised practical exercises (2 hours per week) using a commercial finite elementpackage. The guided independent studies are for students to complete the exercises set out in the practical sessions andrevise the taught materials in the lectures in their own time.

Assessment MethodsWritten examination (100%)

Verbal and one to one feedbacks will be given in the timetabled practical sessions (2 hours per week) by the tutor. No formalformative assessment will made in the module.

Pre-Requisites

Co-Requisites


Lectures 11Seminars








EG4113 Advanced Solid Mechanics



EG4113 Advanced Solid Mechanics




001 Exam 100 2



Intended Learning Outcomes1. Explain the interaction of microstructure, processing and properties of aluminium and titanium alloys, high temperature Ni-base alloys and composites used in structural aerospace components. 2. Select and critique the choice of different classes of materials in common aerospace structural configurations.3. Explain the drivers and processes of single crystal technology for manufacturing gas turbines.4. Undertake basic design calculations and propose appropriate lay-ups for polymer composite materials used in typicalaerospace structural configurations.5. Select and justify material constituents, forms and manufacturing processes for polymer composite materials.6. Describe the functionality and physical mechanisms applied in common 'smart' or 'multifunctional' materials.

Teaching and Learning MethodsLecture sessions incorporating active learning tasks, Blackboard site including web-links and additional materials. Exampleproblem booklet. Outline lecture plan (approximate number of session on each topic indicated in brackets (x): Introduction torelevant aerospace systems (3); Light alloys Al, Ti etc. (5); Ni-superalloys (4); Polymer composite materials (6); Smart/multifunctional materials (2); Case study/example classes (2).

Assessment MethodsFormal written examination, common with EG7038.

Pre-RequisitesEG2401 Introduction to Materials and Aircraft Performance

Co-Requisites


Lectures 22Seminars








EG4121 Aerospace Materials





Period: Semester 2Occurence: ECoordinator: Aldo RonaMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module students will typically be able to:1. Select appropriate computational domains, turbulence models, boundary conditions and simulation methods for flow ofpractical interest to academia and industry. 2. Identify the merits and limitations of several simulation types and turbulence models. 3. Identify the relationship between the choice of boundary conditions, computational domain and turbulence models to theaccuracy of the obtained flow solution. 4. Outline the different types of CFD codes that are available5. Determine the suitability of these codes to different flow problems.

Teaching and Learning MethodsLectures, example sheets.The hours allocated to Guided Independent Study are for private study

Assessment MethodsFormal written examination. Example sheets are provided at regular intervals throughout the module on Blackboard. Examplesheets are provided at regular intervals throughout the module.

Pre-RequisitesEG4112 Advanced Fluid Dynamics

Co-Requisites




Fieldwork 0Project Supervision 0


Supervised time in studio/workshop 0Work Based Learning 0

Placement 0Year Abroad 0



EG4122 Advanced Computational Fluid Dynamics




001 Examination (final) 100 2



Intended Learning OutcomesAt the end of this course, typical students should be able to conduct structural analyses of fibre-reinforced composites. Thisincludes the theory of anisotropic elasticity, upper and lower bounds of effective properties such as extensional andtransverse stiffness for individual plies, plate theory for laminate structures and failure mechanisms and failure criteria for pliesand laminates. They should also be able to quantitatively assess structural composite components and design suitablelaminates lay-ups for specific applications, subject to economic constraints. They should be able to define the processesinvolved in designing a fibre-reinforced composite component.

Teaching and Learning MethodsLectures; Examples sheets; Surgery Hours.

Assessment MethodsEnd of semester examination (100%)

Pre-Requisites

Co-Requisites


Lectures 20Seminars








EG4123 Advanced Composite Mechanics





Period: Semester 1Occurence: ECoordinator: Paul LefleyMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, students will be able to make detailed calculations and predictions of the operation of machinesunder steady state and dynamic conditions and when connected to electronic drives. Specific learning outcomes include:

1) To elucidate the basis of electromagnetic torque production in a wide range of electrical machines.

2) To explain the construction, design and operation of brushless permanent magnet dc motors and to apply appropriateperformance analysis.

3) To explain and critique the construction, design and operation, of switched reluctance motors and apply appropriatedetailed analysis for evaluation of machine performance, including stator and rotor pole numbers and the relationship to thenumber of phase windings.

4) To apply advanced methods including d-q axis matrix methods for electrical machine analysis, including the prediction ofsteady-state and transient performance of various DC and AC machines under various mechanical load conditions.

Teaching and Learning MethodsLectures, examples sheets, surgery hours.

Assessment MethodsFormal Written Examination (100%)

Pre-RequisitesEG2201 Electrical Engineering

Co-Requisites


Lectures 22Seminars








EG4211 Advanced Electrical Machines




004 Coursework 40005 Examination 60 1.5006 Resit Examination (inc original coursework marks) 100 2 Y

Period: Semester 1Occurence: ECoordinator: Alan StockerMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to demonstrate that they have a broad appreciation of a wide rangeof radio system applications and have developed a knowledge of their modes of operation, the equipment requirements andlimitations and the radio propagation mechanisms. They should also be able to demonstrate that they have developed an in-depth understanding of the operation of several of the systems discussed in the module.

Teaching and Learning MethodsLectures, directed reading, practical classes.

Assessment MethodsFormal written examination (60%), two laboratory exercises with submitted written work being assessed (20% each). Thecoursework component cannot be retaken.

Pre-Requisites

Co-Requisites


Lectures 20Seminars








EG4212 Radio Systems




001 Coursework 1 50002 Coursework 2 50003 Resit Exam 100 2 Y

Period: Semester 1Occurence: ECoordinator: Andrew NormanMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to:1. Design software for single-processor embedded applications based on small, industry standard, microcontrollers.2. Implement a software design using a high-level programming language.



Pre-RequisitesEither EG1214, EG3204 or Equivalent level of C programming

Co-Requisites


LecturesSeminars 11








EG4214 Embedded Systems (1)




001 Exam 100 3

Period: Semester 2Occurence: ECoordinator: Paul LefleyMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, students will be able to; 1. Outline the principles of electrical machines. 2. Explain that the dynamics of the machine is related to the current and voltages applied to the machine. 3. Provide a detailed description of the function of the power electronic converter.4. Solve problems and analyse the interaction of the motor/generator with the power converter. 5. Discuss the operation and characteristics of a complete electronically controlled motor drive. 6. Differentiate between open and closed loop feedback control. The effect of feedback control in the drive system, and that itis essential in some drives for stable operation. 7. Describe what a power electronic drive is. In addition students will be able to see and understand how a drive functions through a number of computer simulationexercises.

Teaching and Learning MethodsLectures, example sheets, surgery hours

Assessment Methods100% Formal Written Examination

Pre-RequisitesEG4211 Advanced Electrical Machines

Co-Requisites


Lectures 22Seminars








EG4221 Advanced Electronically Controlled Drives




001 Lab work 50002 Project 50

Period: Semester 2Occurence: ECoordinator: David SiddleMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, students should be able to:1. Identify the requirements for the planning and operation of a number of communications systems (e.g. HF broadcasts andVHF/UHF systems including mobile telephones).2. Outline and calculate the limitations of such systems due to signal loss and channel distortion.3. Demonstrate the use of a variety of the prediction techniques and simulation software that are available to aid the systemdesigner.4. Apply these principles to designing a telecommunication system5. Create an original design solution for an urban mobile phone system, given engineering and other constraints.6. Give a clear logical argument in a written document to support their design. 7. Quantitatively assess the risk that a cellular communications system will ail to provide service, against social and economicfactors relevant to its operation.

Teaching and Learning MethodsLectures, directed reading, student presentations, laboratory work, design project.

Assessment MethodsPresentation, laboratory work, design project

Pre-Requisites

Co-Requisites










EG4222 Radio Communications




001 Coursework 1 50002 Coursework 2 50003 Resit Examination 100 2 Y

Period: Semester 2Occurence: ECoordinator: Andrew NormanMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, typical students should be able to:1. Design software for multi-processor embedded applications, using CAN and related protocols.2. Implement a software design using a high-level programming language.



Pre-RequisitesEG4214 Embedded Systems (1), EG1214 or EG3204

Co-Requisites


LecturesSeminars 11








EG4224 Embedded Systems (2)




001 Formal written examination (Final) 100 2



Intended Learning OutcomesAt the end of this module students should be able to:1) Discuss the basic principles of robust control (Gain-phase margins, Small Gain Theorem)2) Discuss the factors that limit the performance of linear feedback control systems (non minimum phase systems, unstablesystems)3) Design robust controllers based on classical loop shaping (frequency domain designs, singular value plots, gain and timedelay margins)4) Appreciate the use of H-infinity methods for robust controller design (state-space controller synthesis approaches)

Teaching and Learning MethodsLectures, examples sheets, seminars, surgery hours, CAD/computing practical classes

Assessment MethodsFormal Written Examination (100%)

Pre-RequisitesEG1201 Electrical and Electronic EngineeringEG2301 Classical ConditioningEG3311 State Variable Control

Co-Requisites


Lectures 20Seminars








EG4311 Robust Control




001 Formal Written Examination (Final) 100 2



Intended Learning OutcomesAt the end of the module students should be able to apply deterministic and statistical modeling techniques to particularapplication problems. Skills include being able to select a particular method from standard pattern recognition techniquessuch as lineardiscriminant functions, fuzzy and neural networks; demonstrate understanding on random variables and concepts frominformation theory, being able to fit a distribution to data collected in the field; calculate error probability for a statisticalclassifier; calculate optimal decision boundaries for data classification problems and recognize different forms of patternrecognition problems such as classification and regression. Students should be able to demonstrate sufficient skills requiredto implement Bayes classification methods, which might be required in dealing with large volumes of data via computer tools.

Teaching and Learning MethodsLectures, example sheets, written assignment coursework, directed reading.

Assessment MethodsExamination 100%

Pre-RequisitesEG3322 Signal Processing 1

Co-Requisites


Lectures 20Seminars








EG4312 Modelling and Classification of Data





Period: Semester 2Occurence: ECoordinator: Matthew TurnerMark Scheme: UG Pass for Credit


Intended Learning OutcomesAt the end of this module, a typical student will be able to:1) Explain the limitations of linear analysis techniques for nonlinear control systems2) Demonstrate the application of nonlinear analysis techniques, using a range of different methods including phase-portraitsand time-domain state-space methods.3) Analyse the stability of nonlinear systems using Lyapunov's second method and related tools4) Discuss the concept of passivity and use this concept to analyse stability of interconnected nonlinear systems5) Assess the stability of Lur'e systems using the so-called Circle and Popov Criteria6) Apply nonlinear control system design methods including feedback linearisation (nonlinear dynamic inversion) andLyapunov-based design methods such as backstepping to simple nonlinear control problems.7) Critique the usefulness of nonlinear control methods in engineering problems.

Teaching and Learning MethodsLectures, example sheets, surgery hours, directed reading.


Pre-RequisitesEG2301 Classical ControlEG3311 State Variable Control

Co-Requisites


Lectures 22Seminars








EG4321 Nonlinear Control




001 Lab Report 50002 Examination 50 2003 Resit Examination 100 2 Y

Period: Semester 2Occurence: ECoordinator: Fernando SchlindweinMark Scheme: UG Pass for Credit


Intended Learning OutcomesBy the end of the module, students are able to do the following: 1. To explain the basic architecture of computers and systems based on DSP chips;2. To read and understand the documentation of the instruction set of DSP chips; 3. To explain what is a real-time system, a ‘hard’ real-time system and a ‘soft’ real-time system;4. To explain issues related to the sampling of continuous systems, such as the choice of sampling frequency and aliasing,and quantisation noise;5. To be able to explain what is a time-triggered system and an event-triggered system and related issues (such as priority ofinterrupts);6. To implement interrupt-based sampling of analogue signals using DSP chips; 7. Starting from the theory covered in EG3322, to design and understand reliable implementations of DSP-based systemsthat operate in real-time;8. To be able to explain the need for storing data in dual or circular buffers and how to detect buffer overload;9. To understand the implications (timing issues, cost issues) involved in the selection of a particular DSP chip and tounderstand some examples of peripheral hardware for real-time applications.

Teaching and Learning MethodsLectures, lecture notes, and laboratory ‘hands-on’ practical sessions.

Assessment MethodsExam and assessed work (50/50)

Pre-Requisites

Co-Requisites


Lectures 22Seminars








EG4322 Signal Processing 2


Documents

Module Specification - University of Leicester · Intended Learning Outcomes ... Module Specification ... Kirchhoff’s Laws, Power, voltage dividers. Thevenin theorem (illustrate