Module Specification
EG1001
Maths with Computation
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 1
UG
Engineering
30
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Musa Abdulkareem
UG Pass for Credit
No.
Assessment Description
011
012
014
015
017
Examination (Final)
Computer examination 1
Computer examination 2
Computer examination 3
Resit Examination
Student Workload (hours)
Lectures 65
Seminars
6
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 154
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 225
Weight %
70
5
20
5
100
Qual Mark Exam Hours
Ass't Group
Alt Reass't
3
1
3
Y
Intended Learning Outcomes
At the end of this module, typical students should be able to apply some mathematical techniques to solve a wide class of
engineering problems. Students should be familiar with the concepts of continuity, integration and differentiation of scalar
functions. They should be able to manipulate complex numbers, vector products and use basic matrix operations. They
should be capable of solving linear differential equations using standard and more advanced techniques (with Laplace
transforms and the convolution Theorem). Students should also be able to express periodic functions in terms of Fourier
series. They should be familiar with the basics of MATLAB and be capable of using iteration methods to find the roots of
equations, simple interpolation and curve fitting techniques, and numerical integration schemes. Teaching and Learning Methods
Lectures, example questions.
Assessment Methods
Assessment will be by mid-year assignments (30%) and end of year examinations (70%). Resit only possible for the formal
examination (100%).
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG1002
Engineering Design
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 1
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Mateusz Bocian
UG Pass for Credit
Student Workload (hours)
Lectures 13
Seminars 72
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 65
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
No.
Assessment Description
Weight %
001
002
Coursework 1
Coursework 2 (Final)
50
50
Qual Mark Exam Hours
Ass't Group
Alt Reass't
Intended Learning Outcomes
The students are introduced to the elements of engineering design (market survey, design specification, concept design and
evaluation, detailed design, manufacturing and after sales) using the problem based learning approach. At the end of this
module, typical students should be able to convey basic information about engineering components and circuits following
British Standards. The students should demonstrate understanding of the use of a computer-aided design (CAD) widely used
in the engineering profession. Following mechanical and electrical design case studies typical students should be able to
break down a task into sections which can be analysed allowing a complete working system to be designed to meet a
performance requirement.
Teaching and Learning Methods
Lectures and practical sessions. A typical week has 2 practical session 2 hours each.
Assessment Methods
Coursework exercises, group reports. It is not normally possible for the assessment to be retaken, and therefore failure of the
module means termination of a student's course.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG1003
Experimentation 1
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 1
UG
Engineering
10
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Timothy Pearce
UG Pass for Credit
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
No.
Assessment Description
Weight %
224
225
226
Laboratory work
Formal report 1
Formal report 2 (Final)
75
6
19
Qual Mark Exam Hours
Ass't Group
2
48
21
4
75
Alt Reass't
Intended Learning Outcomes
This module consists of a twelve practical laboratory exercises to give students support and practical experience of material
covered 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 and
evaluating and reporting results. Specifically, the laboratory exercises will be in the areas of structural mechanics, properties
of materials, fluid mechanics, thermodynamics and heat transfer, DC and AC circuits, digital and analogue eletronics and
signals 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 each
laboratory.
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 Methods
Introductory lecture, supervised laboratory work, two written formal reports (one at the end of each semester)
Assessment Methods
Labwork is assessed during the laboratory sessions based upon student understanding and laboratory notebook. 1 Formal
report is completed per Semester on an allocated experiment and feedback provided. It is not possible to resit this module.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG1015
S1 Engineeering Design
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 1
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Mateusz Bocian
UG Pass for Credit
No.
Assessment Description
001
Coursework 1 (final)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
Qual Mark Exam Hours
Ass't Group
10
40
25
75
Alt Reass't
100
Intended Learning Outcomes
At the end of this module, typical students should be able to convey basic information about engineering components using a
computer-aided design system widely used in the engineering profession to produce drawings to British Standards. Typical
students should be able to break down a task into sections which can be analysed numerically allowing a complete working
system to be designed to meet a performance requirement.
Teaching and Learning Methods
A typical week consists of one lecture, two practical sessions (two hours each) plus private study (typically averaging between
two and three hours a week).
Assessment Methods
Coursework exercises. It is not normally possible for the assessment to be retaken, and therefore failure of the module means
termination of a student's course.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG1101
Mechanical Engineering
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 1
UG
Engineering
30
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Andrew McMullan
UG Pass for Credit
No.
Assessment Description
011
012
013
014
016
Examination (Final)
Computer examination 1
Computer examination 2
Computer examination 3
Re-sit examination
Student Workload (hours)
Lectures 66
Seminars
6
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 153
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 225
Weight %
70
5
20
5
100
Qual Mark Exam Hours
0.4
Ass't Group
Alt Reass't
3
1
3
Y
Intended Learning Outcomes
1. To bring students with different educational backgrounds to a common level of understanding of the basic principles
underlying Mechanical Engineering (including the mechanical aspects of Aerospace Engineering).
2. To give the student a basic analytical understanding of the different types of problem encountered in Mechanical
Engineering and 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 material
properties, 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 and
indeterminate 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
Last Published:
June 10, 2016
Module Specification
EG1101
Mechanical Engineering
Teaching and Learning Methods
Lectures, examples sheets, seminar/assignment/tutorial system, surgery hours. Relevant experiments will be available in
EG1003.
Assessment Methods
Assessment will be by mid-year assignments and end of year examination (70%). Resit only possible for the formal
examination.(100%).
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG1201
Electrical and Electronic Engineering
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 1
UG
Engineering
30
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Matias Ison
UG Pass for Credit
No.
Assessment Description
011
012
013
014
016
Examination (Final)
Computer examination 1
Computer examination 2
Computer examination 3
Re-sit examination
Student Workload (hours)
Lectures 60
Seminars
8
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 157
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 225
Weight %
70
5
20
5
100
Qual Mark Exam Hours
0.4
Ass't Group
Alt Reass't
3
1
3
Y
Intended Learning Outcomes
At the end of this course, students with different educational backgrounds should be able to demonstrate a common level of
knowledge and understanding of some of the basic principles underlying Electrical and Electronic Engineering in the areas of
DC/AC principles, digital and analogue electronics and signals and systems. Students should be able to apply appropriate
mathematical methods and engineering tools to the analysis of relevant problems, to identify and describle the performance of
systems and components relevant to the topics detailed below.
- DC Principles: Resistors and Ohm’s law, Kirchhoff’s Laws, Power, voltage dividers. Thevenin theorem (illustrate with
interfacing transducers, cascading circuits, voltage buffer to change source resistance, Wheatstone bridge), Norton equivalent
circuits, 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 frequency
response 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. Logic
identities. 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 (offset
voltage, 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, special
signals, 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 and
stability and response type, olving problems with the Laplace Transform, the transfer function and its importance, transfer
functions 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 and
Phase Margins.
Last Published:
June 10, 2016
Module Specification
EG1201
Electrical and Electronic Engineering
Teaching and Learning Methods
Lectures, examples sheets, seminar/assignment/tutorial system, surgery hours. Relevant experiments will be available in
EG1003.
Assessment Methods
Assessment will be by mid-year assignments (30%) and end of year examinations (70%).
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2001
Computer-based Modelling
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 2
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Stephen Garrett
UG Pass for Credit
No.
Assessment Description
011
Examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
11
42
75
Alt Reass't
2
Intended Learning Outcomes
At 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 Methods
Lectures, examples sheets, surgery hours, computing practical classes.
Assessment Methods
Formal written examination (100%)
Pre-Requisites
EG1001 - Maths with Computation
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2003
Experimentation 2
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 2
UG
Engineering
10
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Rob Thornton
UG Pass for Credit
No.
Assessment Description
011
012
Lab Exercises and Report 1
Lab Exercises and Report 2 (Final)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
Qual Mark Exam Hours
Ass't Group
70
5
75
Alt Reass't
50
50
Intended Learning Outcomes
Discipline 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) and
discuss experimental results in the context of background theory relating to associated modules in materials, properties and
processing, 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 evaluate
the 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 Methods
Laboratory practical classes, computer practical classes
Assessment Methods
Lab reports and notebooks
Pre-Requisites
EG1003 - Experimentation 1
Co-Requisites
EG2102, EG2102, EG2103, EG2201, EG2202, EG2301
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2005
Engineering Design 2
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Nikola Chalashkanov
UG Pass for Credit
No.
Assessment Description
001
Design, Build and Test project
Student Workload (hours)
Lectures 10
Seminars
Practical Classes & Workshops 77
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 57
Demonstration
6
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
Qual Mark Exam Hours
Ass't Group
Alt Reass't
100
Intended Learning Outcomes
Students 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 real
engineering 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 design
concepts 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, quality
and 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 products
7.) Present design to the reviewers and customers in a concise way
8.) 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 Methods
lectures, design classes, computing and hardware practical classes, presentations
Assessment Methods
Reports, poster, interviews, performance of designs. It is not possible to retake the assessments
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2017
Business Simulation
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 2
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Martin Rhodes
UG Pass for Credit
No.
Assessment Description
001
002
Financial calculation assignment
Business results & reports (Final)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
Qual Mark Exam Hours
Ass't Group
1
55
19
75
Alt Reass't
25
75
Intended Learning Outcomes
At 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 team
members.
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 Methods
See student workload above.
Assessment Methods
Simulated financial performance, reports, poster, financial calculations.
Pre-Requisites
EG1002, EG1004
Co-Requisites
EG2002
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2101
Materials 1: Properties and Processing
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Rob Thornton
UG Pass for Credit
Student Workload (hours)
Lectures 44
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 106
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
No.
Assessment Description
Weight %
012
016
017
Computer examination
Examination (Final)
Re-sit examination
30
70
100
Qual Mark Exam Hours
Ass't Group
2
2.5
2.5
Alt Reass't
Y
Intended Learning Outcomes
Discipline 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 and
fracture 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 the
basis 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 of
the influence they have on atomic movement and dislocation movement: intrinsic lattice resistance (bonding and crystal
structure), 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 and
progress and therefore be able to qualitatively describe the characteristics of materials that inhibit or promote these
mechanisms: 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 mechanical
properties 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) in
terms of their structure, characteristic properties and typical applications in engineering, and the ways in which they are
processed 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 of
microstructure 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 Methods
Lectures, screencasts, online quizzes, examples sheets, surgery hours
Assessment Methods
Blackboard exam (30%), written exam (70%)
Last Published:
June 10, 2016
Module Specification
EG2101
Materials 1: Properties and Processing
Pre-Requisites
EG1101 Mechanical Engineering.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2102
Thermodynamics & Fluid Dynamics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Audrius Bagdanavicius
UG Pass for Credit
No.
Assessment Description
012
014
015
Examination
Examination (Final)
Resit Examination
Student Workload (hours)
Lectures 42
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 108
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
Qual Mark Exam Hours
50
50
100
Ass't Group
2
2
2.5
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module students should be able to demonstrate that they have an appreciation of the implications of the
second law of thermodynamics (including the concepts of reversibility and the Carnot cycle), be able to explain the concepts
of 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 for
use in practical applications (including transportation and power generation) and to analyse a range of idealised gas and
vapour 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 of
fluid motion on solid boundaries in internal and external flows. Emphasis will be placed on the boundary layer and the
generation of lift and drag on aerofoils and other solid bodies.
Teaching and Learning Methods
Lectures, example sheets, surgery hours. Relevant experiments will be included in EG2003 Exerimentation 2.
*Current assessment pattern subject to academic review*
Assessment Methods
Thermodynamics 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-Requisites
EG1101 - Mechanical Engineering
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2103
Mechanics of Structures
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Simon Gill
UG Pass for Credit
Student Workload (hours)
Lectures 48
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 102
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
No.
Assessment Description
Weight %
011
013
014
Computer examination
Examination (Final)
Re-sit examination
30
70
100
Qual Mark Exam Hours
Ass't Group
3
2.5
2.5
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, typical students should be able to demonstrate awareness of the fundamental concepts used in the
analysis, modelling and design of static and dynamic mechanical systems, and to apply these to realistic engineering
problems. Using the methods introduced in this course, students should be able to make sensible deductions about the
behaviour 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 dynamic
systems, including vector and matrix algebra, Newtonian mechanics, Kinematics and Kinetics of particles, systems of particles
and simple mechanisms.They should also model single-degree of freedom systems, interpret correctly the phenomenon of
resonance 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 useful
strength using simple failure criteria including yield, brittle fracture and buckling.
Teaching and Learning Methods
Lectures, examples sheets, seminar/assignment/tutorial system, surgery hours. Relevant experiments will be available in
EG2003.
Assessment Methods
Assessment will be by a mid-year computer-aided assignment (30%) and end of year examinations (70%).
Pre-Requisites
EG1101 Mechanical Engineering.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2201
Electrical Engineering
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Stephen Dodd
UG Pass for Credit
Student Workload (hours)
Lectures 44
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 106
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
No.
Assessment Description
Weight %
001
002
003
Computer examination
Examination (Final)
Resit examination
30
70
100
Qual Mark Exam Hours
Ass't Group
3
2.5
2.5
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, typical students should be able to demonstrate an awareness of the key facts, mathematical
principles, 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 apparent
power in ac circuits, power factor correction, resonance in electrical circuits and the design of wound electro-magnetic
components.
(2) Apply engineering principles of magnetic circuits and limitations of magnetic materials to the analysis, design and
prediction 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.
.
Teaching and Learning Methods
Lectures, examples sheets, seminar/assignment/tutorial system, surgery hours. Relevant experiments will be available in
EG2003.
Assessment Methods
Assessment will be by Blackbord test in week 12 (30%) and end of year examination (70%).
Pre-Requisites
EG1201 - Electrical and Electronic Engineering.
Co-Requisites
EG2203 - Electromagnetism and Electronics.
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2202
Communications 1
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Alan Stocker
UG Pass for Credit
No.
Assessment Description
001
002
003
Examination (blackboard) 1
Examination (blackboard) 2
Resit Examination
Student Workload (hours)
Lectures 48
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 102
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
50
50
100
Qual Mark Exam Hours
Ass't Group
2.5
2.5
3
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, typical students should be able to answer questions on the basic theory governing electromagnetic
field and wave effects in electrical applications, and on the main modulation and coding techniques employed in
communications systems. They should be able to: (1) recognise and apply the basic concepts behind communication
systems (Information source, sender, channel, receiver, output etc.); (2) recognise and apply the basic concepts behind
Analogue modulation and digital modulation and be able to discuss the relative advantages of analogue and digital
communication systems; (3) manipulate the mathematical detail of amplitude, frequency, phase and pulse amplitude
modulations; (4) recognise and apply the concept of fixed and variable-length coding, including error checking and correction
through 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 useful
results 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 reflection
coefficient, impedance matching, space-time diagrams, calculation of velocity and impedance from L and C; (8) solve
questions on guided waves including the effect of the dimensions of a rectangular waveguides, cut off, phase and group
velocities, and dispersion.
Teaching and Learning Methods
Lectures, ConcepTests, peer-peer learning, examples sheets and Blackboard quizzes, surgery hours, directed reading.
Relevant experiments will be available in EG2003.
Assessment Methods
Two computer based examinations. Resit is by single written exam and replaces original examination marks.
Pre-Requisites
EG1201 Electrical and Electronic Engineering.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2203
Electromagnetism and Electronics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Andrea Lecchini Visintini
UG Pass for Credit
No.
Assessment Description
001
002
003
Blackboard test (week 12)
Examination (final)
Resit examination
Student Workload (hours)
Lectures 48
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 102
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
30
70
100
Qual Mark Exam Hours
Ass't Group
3
2.5
2.5
Alt Reass't
Y
Intended Learning Outcomes
Electromagnetism and Semiconductor Materials:
At the end of this module, typical students should be able to discuss the basic principles of electromagnetism and apply
them to solve simple engineering problems. These include the calculation of the capacitance of simple geometry
systems, the definition and calculation of inductance, and the design of simple electromagnetic circuits. They should
also be able to define the relationship between magnetic fields and electrical currents and carry out simple calculations
of electrical and magnetic forces. They should be able to describe a semiconductor and show how its conductivity can be
controlled 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 analogue
circuits;
(2) apply these principles to the design and analysis of transistor amplifiers of various classes; (3) understand the differences
between combinational and sequential digital circuits;
(4) undertake designs of both synchronous and asynchronous digital circuits.
Teaching and Learning Methods
Lectures, examples sheets, seminar/assignment/tutorial system, surgery hours. Relevant experiments will be available in
EG2003.
*Current assessment pattern subject to academic review*
Assessment Methods
Assessment will be by mid-year assessment (30%) and end of year examination (70%).
Pre-Requisites
EG1201 - Electrical and Electronic Engineering.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2204
Embedded Systems
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Andrew Norman
UG Pass for Credit
No.
Assessment Description
001
002
003
004
005
Coursework 1
Coursework 2
Coursework 3
Coursework 4 (final)
Resit examination
Student Workload (hours)
Lectures
Seminars 22
Practical Classes & Workshops 44
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 84
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
25
25
25
25
100
Qual Mark Exam Hours
Ass't Group
2
Alt Reass't
Y
Intended Learning Outcomes
At 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 Methods
Seminars, computing exercises and practical classes. Guided Independent Study takes place mainly by private study (with
some additional support provided in laboratory sessions).
Assessment Methods
Computing exercises, including oral defence of work (100%). Resit by examination. Formative assessment takes place by
providing feedback to students on submitted coursework.
Pre-Requisites
EG1214
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2301
Classical Control
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 2
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Andrea Lecchini Visintini
UG Pass for Credit
No.
Assessment Description
001
002
Examination (final)
Resit examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
100
Qual Mark Exam Hours
2
2
22
53
75
Ass't Group
Alt Reass't
B
B
Y
Intended Learning Outcomes
At the end of this module, typical students should be able to analyse the dynamical properties of simple Engineering system
or process described by single-input single-output continuous-time transfer functions. They should be able to discuss the
performance 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 simplifications
used to obtain a control solution and identify possible limitations in the solution proposed. The laboratory component of this
module contributes to the continuing development of skills in conducting experiments, working in groups, and evaluating and
reporting results.
Syllabus: introduction to the feedback control problem, transfer functions definition and properties, root locus methods, control
analysis and design in the frequency domain
.
Teaching and Learning Methods
Lectures, examples sheets, seminar/assignment/tutorial system, surgery hours.
Relevant experiments will be available in EG2003
Assessment Methods
End of year examination (100%)
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG2401
Introduction to Aircraft Materials and Performance
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 2
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Rob Thornton
UG Pass for Credit
Student Workload (hours)
Lectures 42
Seminars
Practical Classes & Workshops
2
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 106
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
No.
Assessment Description
Weight %
014
015
016
Examination (Final)
Resit Examination
Computer examination
70
100
30
Qual Mark Exam Hours
Ass't Group
2.5
2.5
2
Alt Reass't
Y
Intended Learning Outcomes
Discipline 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 and
fracture 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 the
basis 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 of
the influence they have on atomic movement and dislocation movement: intrinsic lattice resistance (bonding and crystal
structure), 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 and
progress and therefore be able to qualitatively describe the characteristics of materials that inhibit or promote these
mechanisms: 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 important
relationship between the aerodynamic centre of an aircraft, the centre of mass and the tail-plane, and carry out simple
derivations 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 aircraft
performance).
Teaching and Learning Methods
Lectures, screencasts, online quizzes, examples sheets, surgery hours.
Assessment Methods
Blackboard exam (30%), written exam (70%)
Last Published:
June 10, 2016
Module Specification
EG2401
Introduction to Aircraft Materials and Performance
Pre-Requisites
EG1101 Mechanical Engineering.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3005
Third Year Project
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
30
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Andrew Norman
UG Pass for Credit
No.
Assessment Description
001
002
003
005
006
Interim Report
Technical Achievement
Presentation
Final Report (Final)
Resit Assignment
Student Workload (hours)
Lectures
1
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision 20
Guided Independent Study 204
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 225
Weight %
Qual Mark Exam Hours
Ass't Group
20
35
15
30
100
Alt Reass't
Y
Intended Learning Outcomes
To integrate the knowledge obtained throughout the undergraduate course in a realistic exercise in the practice of engineering
at a professional level; to give the opportunity for individual study and for the development of personal and technical skills; to
develop 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 Methods
Regular individual meetings with supervisor, seminars and presentations.
Assessment Methods
Written reports, seminar presentation and oral examination.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3007
Management
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 3
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Martin Rhodes
UG Pass for Credit
No.
Assessment Description
011
Examination (Final)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
53
75
Alt Reass't
2
Intended Learning Outcomes
At 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 parties
involved 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 and
for product safety, intellectual property, quality management and response to environmental concerns.
Teaching and Learning Methods
Lectures. Independent study and reflection based on: lecture notes, personal work experience, current news, library and
internet sources, etc.
Assessment Methods
Formal written examination
Pre-Requisites
Co-Requisites
Excluded Combinations
Last Published:
June 10, 2016
Module Specification
EG3101
Materials 2: Failure Mechanisms and Tribology
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Hongbiao Dong
UG Pass for Credit
No.
Assessment Description
011
012
013
Examination (Semester 1 - Failure mechanisms)
Examination (Semester 2 - Trbology) (Final)
Resit examination (Failure mechanisms and Tribology)
Student Workload (hours)
Lectures 44
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 106
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
50
50
100
Qual Mark Exam Hours
Ass't Group
2
2
2
Alt Reass't
Y
Intended Learning Outcomes
Discipline 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 fatigue
failures; and therefore identify materials likely to be resistant to each type of failure on the basis of their microstructural
mechanisms of mechanical strengthening.
(2) Use deformation and failure mechanism maps to predict the dominant creep and fracture mechanisms that materials are
likely 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 crack
geometries.
(4) Use combinations of major fatigue laws (Paris Law, Basquin Law, Coffin-Manson Law, Miner’s Rule), with appropriate
compensations for non-zero mean stresses, to predict the fatigue life of engineering components, and be able to describe the
limitations 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 the
advantages 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 elliptical
contacts, 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 of
other 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 bearing
selection.
(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 lubrication
mechanisms (solid or fluid, boundary, hydrodynamic or elasto-hydrodynamic).
Transferable skills:
(1) Problem solving (by the application of theory and calculation to tribological systems).
Last Published:
June 10, 2016
Module Specification
EG3101
Materials 2: Failure Mechanisms and Tribology
Teaching and Learning Methods
Lectures, screencasts, examples sheets, surgery hours, directed reading.
Assessment Methods
Written examination (100%)
Pre-Requisites
EG2101 Materials 1.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3102
Thermodynamics & Fluid Dynamics 2
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Shian Gao
UG Pass for Credit
Student Workload (hours)
Lectures 44
Seminars
Practical Classes & Workshops
2
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 104
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
No.
Assessment Description
Weight %
011
012
013
Examination (Final)
Computer examination
Re-sit examination
80
20
100
Qual Mark Exam Hours
3
2
3
Ass't Group
Alt Reass't
Y
Intended Learning Outcomes
Fluid Dynamics
At 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 Transfer
At 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.
Thermodynamics
At 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 Methods
Lectures, examples sheets, surgery hours.
Assessment Methods
Formal written examination and Blackboard test.
Pre-Requisites
EG2102 Thermodynamics and Fluid Dynamics.
Co-Requisites
Last Published:
June 10, 2016
Module Specification
EG3102
Thermodynamics & Fluid Dynamics 2
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3103
Mechanics of Structures 2
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Csaba Sinka
UG Pass for Credit
No.
Assessment Description
011
012
013
Examination (sem 1)
Examination (sem 2) (Final)
Resit examination
Student Workload (hours)
Lectures 38
Seminars
Practical Classes & Workshops
8
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 104
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
Qual Mark Exam Hours
50
50
100
Ass't Group
2
2
3
Alt Reass't
Y
Intended Learning Outcomes
Semester 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 element
method for elastic stress analysis. At the end of the modules students should be able to understand the theory of the finite
element method and should have gained practical experience with using a commercial finite element package to solve simple
linear elastic problems.
Elastic analysis covers the basic equations in linear elasticity (equilibrium, constitutive law, compatibility of strain) and the
finite 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), dynamic
analysis problem, and an engineering design problem using finite element analysis.
After attending Dynamics of Mechanical Systems, students should be able to demonstrate an understanding of kinetics of
rigid bodies in planar motion, kinematics of 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-offreedom systems (beams etc). They should also be able to understand how to apply analytical tools and methods to
mechanical systems from a broad range of application domains.
Teaching and Learning Methods
Elastic analysis: lectures, example questions and practical exercises using a commercial finite element package.
Dynamics of Mechanical Systems: lectures, example questions.
Assessment Methods
Written examinations at end of each semester (50% each).
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3121
Aerospace Materials
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 3
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Hugo Williams
UG Pass for Credit
No.
Assessment Description
001
Formal written examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
53
75
Alt Reass't
2
Intended Learning Outcomes
1. Explain the interaction of microstructure, processing and properties of aluminium and titanium alloys, high temperature
Nibase
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 typical
aerospace 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 Methods
Lecture sessions incorporating active learning tasks, Blackboard site including web-links and additional materials. Example
problem booklet. Outline lecture plan (approximate number of session on each topic indicated in brackets (x): Introduction to
relevant 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 Methods
Formal written examination
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3201
Electrical Power
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Harold Ruiz
UG Pass for Credit
No.
Assessment Description
001
002
003
Examination (Semester 1)
Examination (Semester 2)
Resit examination
Student Workload (hours)
Lectures 44
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 106
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
50
50
100
Qual Mark Exam Hours
Ass't Group
2
2
3
Alt Reass't
Y
Intended Learning Outcomes
Power 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 operating
behaviours.
(2) Implement appropriate power semiconductor switches and passive components in a switching converter based on design
requirements.
(3) Demonstrate the operating principles of basic converter topologies (ac/dc, dc/ac, dc/dc and ac/ac) and solve their
operations 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 steadystate 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-phase
transmission 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-unit
system.
(6) Construct the bus impedance matrix for the analysis of fault currents.
Teaching and Learning Methods
Lectures, examples sheets, seminar/assignment/tutorial system, surgery hours.
Assessment Methods
Assessment will be by end of semester examinations (50% + 50%).
Pre-Requisites
EG2201, EG2203
Last Published:
June 10, 2016
Module Specification
EG3201
Electrical Power
Co-Requisites
EG2202 - Communications.
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3202
Communications 2
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
David Siddle
UG Pass for Credit
No.
Assessment Description
011
012
013
014
Laboratory Exercises
Design Exercise
Computer-based assessment (Semester 1)
Resit Examination
Student Workload (hours)
Lectures 24
Seminars 11
Practical Classes & Workshops 24
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 91
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
25
25
50
100
Qual Mark Exam Hours
Ass't Group
2.5
2
Alt Reass't
Y
Intended Learning Outcomes
On 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 receiver
4. 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 techniques
8. model various components of a digital communication system using MATLAB and the associated communications
blockset;
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 voice
and picture encoding to suit the digital signal to be enhanced
11 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 Methods
Semester 1 - Lectures, example sheets, surgery hours.
Semester 2 - Seminars, directed reading, laboratory work, design exercise.
Assessment Methods
2.5-hour Blackboard test (50%).
Laboratory exercises (25%).
Design exercise (25%).
Pre-Requisites
EG2202 Communications
Co-Requisites
Excluded Combinations
Last Published:
June 10, 2016
Module Specification
EG3202
Communications 2
Last Published:
June 10, 2016
Module Specification
EG3204
Programmable Electronics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Timothy Pearce
UG Pass for Credit
No.
Assessment Description
001
002
003
004
005
Programming assessment 1
Programming assessment 2
Programming assessment 3
Programming assessment 4 (Final)
Resit assignment
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 40
Demonstration 88
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
Qual Mark Exam Hours
Ass't Group
25
25
25
25
100
Alt Reass't
Y
Intended Learning Outcomes
At the end of the first part of this module, typical students should be able to demonstrate understanding of the process of
problem solving using computer programming. They should be able to write, compile, and execute code to solve typical
engineering problems, and to identify and correct errors in their own and others' code. They should have an understanding of
the 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 and
the benefits that concurrency offers;
(3) demonstrate an ability to develop inherently concurrent applications;
(4) demonstrate competence with the Handel-C programming language and associated tools for FPGSs;
(5) apply these principles to the design, analysus and implementation of FPGA circuits.
Teaching and Learning Methods
Lectures, examples sheets, design assignment, surgery hours.
Assessment Methods
Assessed laboratory exercises.
Resit by written examination.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3205
Programming Microelectronic and Multi-Core Systems
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Luciano Ost
UG Pass for Credit
No.
Assessment Description
001
002
003
004
005
Assignment 1
Assignment 2
Assignment 3
Assignment 4 (final)
Resit exam
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops 88
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 40
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
Qual Mark Exam Hours
25
25
25
25
100
Ass't Group
2
Alt Reass't
Y
Intended Learning Outcomes
Semester 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 provided
by multi-core systems. This module will cover: programming models, parallel algorithms, and programming languages that are
appropriate 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 systems
and 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 Methods
Introductory lecture, supervised laboratory work, practical exercises, written formal reports.
Assessment Methods
Assessed laboratory exercises (50% for semester 1 and 50% for semester 2)
Resit by written examination.
Pre-Requisites
Co-Requisites
Last Published:
June 10, 2016
Module Specification
EG3205
Programming Microelectronic and Multi-Core Systems
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3311
State Variable Control
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 3
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Matteo Rubagotti
UG Pass for Credit
No.
Assessment Description
011
Examination (Final)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
4
49
75
Alt Reass't
2
Intended Learning Outcomes
At the end of this module, typical students should be able to:
(1) Apply basic concepts and theory of the state-space approach to control system modeling, analysis and design;
(2) model a simple electrical or mechanical system in state-space form, apply linearization techniques if necessary, and
analyse the essential characteristics of a control system such as asymptotic stability, controllability and observability;
(3) design a pole-assignment state feedback controller and construct a full-order state observer when it is needed;
(4) perform the tuning of state - feedback controllers using the concept of optimal control;
(5) use basic functionalities of the control software package MATLAB in control system analysis and design.
Teaching and Learning Methods
Lectures, examples sheets, surgery hours, essays, CAD/computing practical classes.
Assessment Methods
Formal written examination (100%)
Pre-Requisites
EG1201 Electrical and Electronic Eengineering.
EG2301 Classical Control.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3312
Modelling and Classification of Data
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 3
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Rafael Morales Viviescas
UG Pass for Credit
No.
Assessment Description
001
Formal written examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
20
2
53
75
Alt Reass't
2
Intended Learning Outcomes
At the end of the module students should be able to apply deterministic and statistical modeling techniques to particular
application problems. Skills include being able to select a particular method from standard pattern recognition techniques
such as linear discriminant functions, fuzzy and neural networks; demonstrate understanding on random variables and
concepts from
information theory, being able to fit a distribution to data collected in the field; calculate error probability for a statistical
classifier; calculate optimal decision boundaries for data classification problems and recognize different forms of pattern
recognition problems such as classification and regression.
Teaching and Learning Methods
lectures, example sheets, directed reading, surgery hours
Assessment Methods
Formal written examination 100%
Pre-Requisites
EG3322 Signal Processing 1
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3321
Digital Control
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 3
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Andrea Lecchini Visintini
UG Pass for Credit
No.
Assessment Description
001
Examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
2
Ass't Group
22
53
75
Alt Reass't
B
Intended Learning Outcomes
At the end of this module, students should be able to analyse the dynamical properties of simple Engineering system or
process that includes digital and/or sampled elements. They should be able to discuss the performance of computer
controlled feedback loops, and to analyse the expected performance of the digital implementation of a feedback loop. They
should be able to demonstrate knowledge of the simplifications used to obtain a digital control solution and identify possible
limitations 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 Methods
Lectures, example sheets, surgery hours, directed reading.
Assessment Methods
End of year examinations (100%)
Pre-Requisites
EG2301 Classical Control.
EG3110 State Variable Control.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3322
Signal Processing I
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 3
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Tanya Vladimirova
UG Pass for Credit
No.
Assessment Description
001
Examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
6
45
75
Alt Reass't
2
Intended Learning Outcomes
This module will provide an understanding of the background theory associated with discrete system analysis followed by a
review of design methods associated with the main classes of discrete systems. There will be a structured series of lectures
and exercise classes. The course will start with a review of the fundamental principles of data conversion and the background
theory 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 and
understand 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 Methods
Lectures, lecture notes, example sheets, surgery hours.
Assessment Methods
End of year examinations (100%)
Pre-Requisites
EG1001 Maths with Computation
EG1201 Electrical and Electronic Engineering
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG3401
Flight Dynamics Control and Navigation
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 3
UG
Engineering
20
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Hongbiao Dong
UG Pass for Credit
No.
Assessment Description
011
012
Examination (semester 1)
Examination (semester 2) (Final)
Student Workload (hours)
Lectures 40
Seminars
Practical Classes & Workshops
8
Tutorials
3
Fieldwork
3
Project Supervision
Guided Independent Study 96
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 150
Weight %
50
50
Qual Mark Exam Hours
Ass't Group
Alt Reass't
2
2
Intended Learning Outcomes
The 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 and
measurements. Introduction to aircraft navigation, basic principles of navigation, radio direction finding, radio ranges, as well
as inertial navigation. A brief outline of the avionics systems and the role of multi function displays, head-up-displays, and
flight pages in navigation and guidance will be provided. Flight practicals are carried out at Cranfield at the beginning of the
first semester and consist of "flying at Cranfield University" with briefing and de-briefing at Leicester. The first flight concerns
Drag 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 aircraft
environmental modelling assumptions (e.g. flat Earth assumption, inertial Earth, standard atmospheric models) as well as to
the various coordinate systems used to describe aircraft motion (inertial, aerodynamic and body axes). The basic principles
required 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 6degree-of-freedom airframe equations of motion will be given. State-space equations governing airframe longitudinal and
lateral-directional dynamics, airframe modes (e.g. short-period, phugoid), airframe responses from disturbances and demands
will 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 analysis
of a fixed-wing aircraft.
Teaching and Learning Methods
Classroom Lectures, pre-flight briefings, lecture at the aircraft, flight practicals, workshop to analyse data taken on the flight
practicals, example questions.
Assessment Methods
Formal written examinations.
Pre-Requisites
EG2103 - Mechanics of Structures
EG2401 - Intro to Materials & Aircraft Performance
EG3311 - State Variable Control
Last Published:
June 10, 2016
Module Specification
EG3401
Flight Dynamics Control and Navigation
Co-Requisites
EG3103-Dynamic of Mechanical Systems
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4006
Fourth Year Project
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 4
UG
Engineering
40
Period:
Occurence:
Academic Year
E
Coordinator:
Mark Scheme:
Andrew Norman
UG Pass for Credit
No.
Assessment Description
001
002
003
Plan implementation
Technical achievement
Group Report (final)
Student Workload (hours)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision 22
Guided Independent Study 278
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 300
Weight %
Qual Mark Exam Hours
Ass't Group
Alt Reass't
30
30
40
Intended Learning Outcomes
The principal idea behind the MEng project is to give students the simulated experience of a group project in industry, from
forming the team and developing the project through to managing the team and implementing the project plan. At the end of
this module, students should demonstrate that they can integrate skills obtained throughout their degree programme in order
to execute and report on engineering project work at a professional level appropriate to an MEng graduate, especially in
relation to coordinating and managing their work within their team.
Teaching and Learning Methods
Technical and management meetings with supervisor, customer and peer group.
Assessment Methods
Three 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 the
year. All marks will be affected by a peer assessment weighting, moderated by the supervisor and examiner.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4017
Engineering in Society, Ethics and Professional Development
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Alan Stocker
UG Pass for Credit
No.
Assessment Description
Weight %
001
002
003
004
005
Session performance
Essay (PPD)
Coursework (society)
Exam (final)
Resit exam
35
15
15
35
100
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
,75
Qual Mark Exam Hours
Alt Reass't
Ass't Group
1
2
8
10
57
Y
Intended Learning Outcomes
At 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 illuminate
different aspects of this relationship, such as the history of technology, innovation and technology transfer. Furthermore, a
typical student should be able to analyse, research, and present a reasoned argument on his or her personal and professional
development in a clear and concise manner.
Teaching and Learning Methods
Lectures, directed reading, student presentations, contributing to teamwork in leading sessions, debates, posters and essays.
Assessment Methods
Formal written examination (35%), essay and coursework (30%), and presentations, contributions to debates, and
contributions to sessions led by team (35%)
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4111
Understanding Surfaces
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
David Weston
UG Pass for Credit
No.
Assessment Description
001
002
003
Formal report on lab work
Exam (final)
Resit exam
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
30
70
100
Qual Mark Exam Hours
Ass't Group
2
2
15
10
22
28
75
Alt Reass't
Y
Intended Learning Outcomes
At the end of the module students should be able to: Demonstrate knowledge of the theoretical background of different
tribological interactions. Produce a formal report on practical work undertaken in the course, which demonstrates practical
experience with a range of experimental characterization techniques to determine the relevant engineering properties of a
surface engineered component. Process experimental data and apply theoretical formulae in the interpretation of said data
with 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 tribological
problems. Display knowledge of the different types of surface engineering techniques available to the engineer.
Teaching and Learning Methods
Lectures, practical laboratory work, self study
Assessment Methods
Formal report on laboratory work 30% Formal written examination 70%
Pre-Requisites
EG3360 Tribology
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4112
Advanced Fluid Dynamics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Shian Gao
UG Pass for Credit
No.
Assessment Description
001
Examination (final)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
20
2
53
75
Alt Reass't
2
Intended Learning Outcomes
In this module, students will be exposed to a range of contemporary developments in fluid dynamics. This will include
research activities in computational and experimental fluid dynamics. On completion, typical students should be able to
exercise a balanced and critical perspective on the roles of computational, experimental and theoretical work in advanced
fluid dynamics and the associated design and testing work in industry.
Teaching and Learning Methods
Lectures, examples sheets, surgery hours, coursework assignments.
Assessment Methods
Formal written examination 100%
Pre-Requisites
EG3102
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4113
Advanced Solid Mechanics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Jingzhe Pan
UG Pass for Credit
No.
Assessment Description
001
Exam (final)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
11
22
42
75
Alt Reass't
2
Intended Learning Outcomes
This module provides the students with an advanced theoretical grounding as well as hands on practical experience in
modern 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 engineering
structures 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 Methods
Lectures (one hour per week) and supervised practical exercises (2 hours per week) using a commercial finite element
package. The guided independent studies are for students to complete the exercises set out in the practical sessions and
revise the taught materials in the lectures in their own time.
Assessment Methods
Written examination (100%)
Verbal and one to one feedbacks will be given in the timetabled practical sessions (2 hours per week) by the tutor. No formal
formative assessment will made in the module.
Pre-Requisites
Co-Requisites
Excluded Combinations
Last Published:
June 10, 2016
Module Specification
EG4113
Advanced Solid Mechanics
Last Published:
June 10, 2016
Module Specification
EG4121
Aerospace materials
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Hugo Williams
UG Pass for Credit
No.
Assessment Description
001
Exam
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
53
75
Alt Reass't
2
Intended Learning Outcomes
1. Explain the interaction of microstructure, processing and properties of aluminium and titanium alloys, high temperature Nibase 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 typical
aerospace 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 Methods
Lecture sessions incorporating active learning tasks, Blackboard site including web-links and additional materials. Example
problem booklet. Outline lecture plan (approximate number of session on each topic indicated in brackets (x): Introduction to
relevant 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 Methods
Formal written examination, common with EG7038.
Pre-Requisites
EG2401 Introduction to Materials and Aircraft Performance
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4122
Advanced Computational Fluid Dynamics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Aldo Rona
UG Pass for Credit
No.
Assessment Description
002
Examination
Student Workload (hours)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
0
0
0
0
0
53
0
0
0
0
0
75
Alt Reass't
2
Intended Learning Outcomes
At 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 of
practical 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 the
accuracy of the obtained flow solution.
4. Outline the different types of CFD codes that are available
5. Determine the suitability of these codes to different flow problems.
Teaching and Learning Methods
Lectures, example sheets, surgery hours.
The hours allocated to Guided Independent Study are for private study
Assessment Methods
Formal written examination. Formative assessment is provided through continual feedback on example sheets in class.
Example sheets are provided at regular intervals throughout the module.
Pre-Requisites
EG4112 Advanced Fluid Dynamics
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4123
Advanced Composite Mechanics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Hugo Williams
UG Pass for Credit
No.
Assessment Description
001
Examination (final)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
20
2
53
75
Alt Reass't
2
Intended Learning Outcomes
At the end of this course, typical students should be able to conduct structural analyses of fibre-reinforced composites. This
includes the theory of anisotropic elasticity, upper and lower bounds of effective properties such as extensional and
transverse stiffness for individual plies, plate theory for laminate structures and failure mechanisms and failure criteria for plies
and laminates. They should also be able to quantitatively assess structural composite components and design suitable
laminates lay-ups for specific applications, subject to economic constraints. They should be able to define the processes
involved in designing a fibre-reinforced composite component.
Teaching and Learning Methods
Lectures; Examples sheets; Surgery Hours.
Assessment Methods
End of semester examination (100%)
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4211
Advanced Electrical Machines
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Paul Lefley
UG Pass for Credit
No.
Assessment Description
001
Examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
Qual Mark Exam Hours
100
Ass't Group
22
53
75
Alt Reass't
2
Intended Learning Outcomes
At the end of this module, students will be able to make detailed calculations and predictions of the operation of machines
under 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 appropriate
performance analysis.
3) To explain and critique the construction, design and operation, of switched reluctance motors and apply appropriate
detailed analysis for evaluation of machine performance, including stator and rotor pole numbers and the relationship to the
number of phase windings.
4) To apply advanced methods including d-q axis matrix methods for electrical machine analysis, including the prediction of
steady-state and transient performance of various DC and AC machines under various mechanical load conditions.
Teaching and Learning Methods
Lectures, examples sheets, surgery hours.
Assessment Methods
Formal Written Examination (100%)
Pre-Requisites
EG2201 Electrical Engineering
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4212
Radio Systems
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Alan Stocker
UG Pass for Credit
No.
Assessment Description
004
005
006
Coursework
Examination
Resit Examination (inc original coursework marks)
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
40
60
100
Qual Mark Exam Hours
Ass't Group
1.5
2
20
12
43
75
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, typical students should be able to demonstrate that they have a broad appreciation of a wide range
of radio system applications and have developed a knowledge of their modes of operation, the equipment requirements and
limitations and the radio propagation mechanisms. They should also be able to demonstrate that they have developed an indepth understanding of the operation of several of the systems discussed in the module.
Teaching and Learning Methods
Lectures, directed reading, practical classes.
Assessment Methods
Formal written examination (60%), two laboratory exercises with submitted written work being assessed (20% each). The
coursework component cannot be retaken.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4214
Embedded Systems (1)
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Andrew Norman
UG Pass for Credit
No.
Assessment Description
001
002
003
Coursework 1
Coursework 2
Resit Exam
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
50
50
100
Qual Mark Exam Hours
Ass't Group
2
11
22
42
75
Alt Reass't
Y
Intended Learning Outcomes
At 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.
Teaching and Learning Methods
Seminars, computing exercises and practical classes. Guided Independent Study takes place mainly by private study (with
some additional support provided in laboratory sessions).
Assessment Methods
Computing exercises, including oral defence of work (100%). Resit by examination. Formative assessment takes place by
providing feedback to students on submitted coursework.
Pre-Requisites
Either EG1214, EG3204 or Equivalent level of C programming
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4221
Advanced Electronically Controlled Drives
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Paul Lefley
UG Pass for Credit
No.
Assessment Description
001
Exam
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
53
75
Alt Reass't
3
Intended Learning Outcomes
At 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 it
is 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 simulation
exercises.
Teaching and Learning Methods
Lectures, example sheets, surgery hours
Assessment Methods
100% Formal Written Examination
Pre-Requisites
EG4211 Advanced Electrical Machines
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4222
Radio Communications
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
David Siddle
UG Pass for Credit
No.
Assessment Description
001
002
Lab work
Project
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
Qual Mark Exam Hours
Ass't Group
16
5
21
1
32
75
Alt Reass't
50
50
Intended Learning Outcomes
At 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 and
VHF/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 system
designer.
4. Apply these principles to designing a telecommunication system
5. 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 economic
factors relevant to its operation.
Teaching and Learning Methods
Lectures, directed reading, student presentations, laboratory work, design project.
Assessment Methods
Presentation, laboratory work, design project
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4224
Embedded Systems (2)
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Andrew Norman
UG Pass for Credit
No.
Assessment Description
001
002
003
Coursework 1
Coursework 2
Resit Examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
Qual Mark Exam Hours
50
50
100
Ass't Group
2
11
22
42
75
Alt Reass't
Y
Intended Learning Outcomes
At 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.
Teaching and Learning Methods
Seminars, computing exercises and practical classes. Guided Independent Study takes place mainly by private study (with
some additional support provided in laboratory sessions).
Assessment Methods
Computing exercises, including oral defence of work (100%). Resit by examination. Formative assessment takes place by
providing feedback to students on submitted coursework.
Pre-Requisites
EG4214 Embedded Systems (1), EG1214 or EG3204
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4311
Robust Control
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Dawei Gu
UG Pass for Credit
No.
Assessment Description
001
Formal written examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
20
2
4
49
75
Alt Reass't
2
Intended Learning Outcomes
At 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, unstable
systems)
3) Design robust controllers based on classical loop shaping (frequency domain designs, singular value plots, gain and time
delay margins)
4) Appreciate the use of H-infinity methods for robust controller design (state-space controller synthesis approaches)
Teaching and Learning Methods
Lectures, examples sheets, seminars, surgery hours, CAD/computing practical classes
Assessment Methods
Formal Written Examination (100%)
Pre-Requisites
EG1201 Electrical and Electronic Engineering
EG2301 Classical Conditioning
EG3311 State Variable Control
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4312
Modelling and Classification of Data
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Rafael Morales Viviescas
UG Pass for Credit
No.
Assessment Description
001
Formal Written Examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
20
2
53
75
Alt Reass't
2
Intended Learning Outcomes
At the end of the module students should be able to apply deterministic and statistical modeling techniques to particular
application problems. Skills include being able to select a particular method from standard pattern recognition techniques
such as linear
discriminant functions, fuzzy and neural networks; demonstrate understanding on random variables and concepts from
information theory, being able to fit a distribution to data collected in the field; calculate error probability for a statistical
classifier; calculate optimal decision boundaries for data classification problems and recognize different forms of pattern
recognition problems such as classification and regression. Students should be able to demonstrate sufficient skills required
to implement Bayes classification methods, which might be required in dealing with large volumes of data via computer tools.
Teaching and Learning Methods
lectures, example sheets, written assignment coursework, directed reading, surgery hours
Assessment Methods
Formal written examination (100%
Pre-Requisites
EG3322 Signal Processing 1
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4321
Nonlinear Control
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Matthew Turner
UG Pass for Credit
No.
Assessment Description
001
Examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
100
Qual Mark Exam Hours
Ass't Group
22
53
75
Alt Reass't
2
Intended Learning Outcomes
At the end of this module, a typical student will be able to:
1) Explain the limitations of linear analysis techniques for nonlinear control systems
2) Demonstrate the application of nonlinear analysis techniques, using a range of different methods including phase-portraits
and time-domain state-space methods.
3) Analyse the stability of nonlinear systems using Lyapunov's second method and related tools
4) Discuss the concept of passivity and use this concept to analyse stability of interconnected nonlinear systems
5) Assess the stability of Lur'e systems using the so-called Circle and Popov Criteria
6) Apply nonlinear control system design methods including feedback linearisation (nonlinear dynamic inversion) and
Lyapunov-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 Methods
Lectures, example sheets, surgery hours, directed reading.
Assessment Methods
End of year examinations (100%)
Pre-Requisites
EG2301 Classical Control
EG3311 State Variable Control
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG4322
Signal Processing 2
Academic Year:
Module Level:
Scheme:
Department:
Credits:
Student Workload (hours)
2016/7
Year 4
UG
Engineering
10
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Fernando Schlindwein
UG Pass for Credit
No.
Assessment Description
001
002
003
Lab Report
Examination
Resit Examination
Lectures
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours
Weight %
50
50
100
Qual Mark Exam Hours
Ass't Group
2
2
22
24
29
75
Alt Reass't
Y
Intended Learning Outcomes
By the end of the module, students are able to do the following: 1.To read and understand the documentation of the
instruction set of DSP chips; 2.To implement interrupt-based sampling of analogue signals using DSP chips; 3.Starting from
the theory covered in EG7016, to design and understand reliable implementations of DSP-based systems that operate in
realtime;
4.To understand the implications (timing issues, cost issues) involved in the selection of a particular DSP chip and to
understand some examples of peripheral hardware for real-time applications.
Teaching and Learning Methods
Lectures, lecture notes, and laboratory ‘hands-on’ practical sessions.
Assessment Methods
Exam and assessed work (50/50)
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7012
Matlab and CAD
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Musa Abdulkareem
PGT Mark Scheme
No.
Assessment Description
011
012
013
Computer Examination (Final)
Coursework
Resit Examination
Student Workload (hours)
Lectures
7
Seminars
Practical Classes & Workshops 15
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 90
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 112
Weight %
70
30
100
Qual Mark Exam Hours
Ass't Group
Alt Reass't
2
2
Y
Intended Learning Outcomes
After completing this module the students will:
Be capable of analysing simple problems arising in science and engineering for the purpose of programming with a computer.
Be capable of using Matlab in an interactive mode - entering and assigning data to variables and using plotting functions.
Be capable of writing simple programs using, as and when necessary, loop structures and conditional statements including
'for loops', 'while loops' and 'if-then-else' constructs and user-defined functions.
Be able to design and/or analyse engineering systems using state-of-the-art CAD tools relevant to their chosen discipline;
either SIMULINK, the Communications Toolbox, OrCAD PSpice or Solid Works.
Teaching and Learning Methods
There are seven formal lectures for this module - one to introduce the module as a whole and six to introduce matlab. A series
of lab sessions are run, initially comprising 6 supervised hours of hands-on training in Matlab as an interactive medium, a
data analysis tool and also as a program development environment. Following this, the cohort will then be split according to
their MSc programmes and, during 9 hours of laboratory sessions, introduced to Simulink, the Communications toolbox,
pSpice, or Solid Works as appropriate.
Guided independent study is private study, although office hours and electronic discussion boards offer additional help
outside of the laboratories.
Assessment Methods
Matlab programming will be assessed by means of a 2 hour computer-based examination, while CAD will be assessed by a
single piece of coursework. The coursework component cannot be retaken.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7013
Modelling and Classification of Data
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Rafael Morales Viviescas
PGT Mark Scheme
No.
Assessment Description
001
002
003
Formal Written Examination (Final)
Computer Examination
Resit Examination
Student Workload (hours)
Lectures 20
Seminars
Practical Classes & Workshops
2
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 90.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
70
30
100
Qual Mark Exam Hours
Ass't Group
Alt Reass't
2
2
Y
Intended Learning Outcomes
At the end of the module students should be able to apply deterministic and statistical modeling techniques to particular
application problems. Skills include being able to select a particular method from standard pattern recognition techniques
such as linear discriminant functions, fuzzy and neural networks; demonstrate understanding on random variables and
concepts from information theory, being able to fit a distribution to data collected in the field; calculate error probability for a
statistical classifier; calculate optimal decision boundaries for data classification problems and recognize different forms of
pattern recognition problems such as classification and regression. Students should be able to demonstrate sufficient skills
required to implement Bayes classification methods which might be required in dealing with large volumes of data via
computer tools.
Teaching and Learning Methods
Lectures, example sheets, written assignment coursework, directed reading.
Assessment Methods
Formal written examination (70%), Computer-based test: in the areas of probability and statistics, statistical models, neural
networks and Bayes classifiers (30%).
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7014
High-Reliability Embedded Systems
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Ioannis Kyriakopoulos
PGT Mark Scheme
No.
Assessment Description
001
002
004
Coursework 1
Coursework 2
Resit Examination
Student Workload (hours)
Lectures
Seminars 11
Practical Classes & Workshops
Tutorials 33
Fieldwork
Project Supervision
Guided Independent Study 68.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
50
50
100
Qual Mark Exam Hours
Ass't Group
2
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module students should have a solid comprehension of the C programming language and how it can be
applied to create reliable embedded systems, including recognised coding standards such as Misra C. Specifically, typical
students will be able to:
1. Discuss relevant coding standards;
2. Explain and reproduce common scheduling paradigms;
3. Classify and categorise different approaches to scheduling, including contrasting the different approaches;
4. Define and implement their own demonstrator embedded systems utilising a variety of paradigms and standards;
5. Evaluate the reliability and predicatability of these systems.
Teaching and Learning Methods
Seminars, computing exercises and practical classes. Guided Independent Study takes place mainly by private study (with
some additional support provided in laboratory sessions).
Assessment Methods
Coursework exercises from submitted laboratory sessions. Resit by examination. Formative assessment takes place by
providing feedback to students on laboratory sessions.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7015
Robust Control
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Rafael Morales Viviescas
PGT Mark Scheme
No.
Assessment Description
001
002
003
Formal written examination
Assignment (control design case study)
Resit Examination
Student Workload (hours)
Lectures 20
Seminars
0
Practical Classes & Workshops
2
Tutorials
0
Fieldwork
Project Supervision
Guided Independent Study 90.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
70
30
100
Qual Mark Exam Hours
Ass't Group
Alt Reass't
2
2
Y
Intended Learning Outcomes
At 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 affect the stability and performance of linear feedback control systems in
real world operation environment (dynamic perturbations, disturbances, etc.); (3) design robust controllers based on classical
loop shaping (frequency domain designs, singular value plots, gain and time delay margins); and (4) formulate a robust
controller design framework and use H-infinity methods for robust controller design (state-space controller synthesis
approaches).
Teaching and Learning Methods
Lectures, examples sheets, surgery hours, computing practical classes.
Assessment Methods
Formal written examination (70%)
Assignment (Control design case study, 30%)
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7016
Design of Discrete Systems
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Fernando Schlindwein
PGT Mark Scheme
No.
Assessment Description
001
002
Examination (Final)
Resit Examination
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops
6
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 85
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 113
Weight %
100
100
Qual Mark Exam Hours
2.5
2
Ass't Group
Alt Reass't
B
B
Y
Intended Learning Outcomes
This module will provide an understanding of the background theory associated with discrete system analysis followed by a
review of design methods associated with the main classes of discrete systems. There will be a structured series of lectures
and exercise classes. The course will start with a review of the fundamental principles of data conversion and the background
theory 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 and
understand 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.
• Obtain and interpret the Discrete Fourier Transform of a uniformly sampled time series.
Teaching and Learning Methods
Lectures, example sheets, surgery hours.
Assessment Methods
2 hour-long closed book examination.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7017
Real-Time Signal Processing
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Fernando Schlindwein
PGT Mark Scheme
No.
Assessment Description
001
002
003
Lab Report
Examination
Resit Examination
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops 24
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 66.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
50
50
100
Qual Mark Exam Hours
Ass't Group
2
2
Alt Reass't
Y
Intended Learning Outcomes
By the end of the module, students are able to do the following:
1. To read and critically analyse the documentation of the instruction set of DSP chips;
2. To implement interrupt-based sampling of analogue signals using DSP chips;
3. Starting from the theory covered in EG3322, to design and critically analyse reliable implementations of DSP-based
systems that operate in real-time; and
4. To understand the implications (timing issues, cost issues) involved in the selection of a particular DSP chip and to
understand some examples of peripheral hardware for real-time applications.
Teaching and Learning Methods
Lectures, lecture notes and laboratory ‘hands-on’ practical sessions.
Assessment Methods
Exam (50%) and assessed work (50%).
Pre-Requisites
Co-Requisites
EG7016 Design of Discrete Systems.
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7018
Embedded Systems for Condition Monitoring and Control
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Ioannis Kyriakopoulos
PGT Mark Scheme
No.
Assessment Description
001
002
005
Coursework 1
Coursework 2
Resit Examination
Student Workload (hours)
Lectures
Seminars 11
Practical Classes & Workshops
Tutorials 33
Fieldwork
Project Supervision
Guided Independent Study 68.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
50
50
100
Qual Mark Exam Hours
Ass't Group
2
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, students should have a solid comprehension of standard techniques such as worst case execution
times and processor loading, interaction between software and hardware, techniques for testing systems, and for scheduling
complex task sets. Specifically, typical students will be able to:
1. Investigate worst-case execution times and CPU loading values;
2. Interpret coding standads guideline and apply them to systems implementation;
3. Present techniques for maximising reliability and extend systems to employ these techniques;
4. Design and apply existing and bespoke techniques for testing reliability at code and systems level;
5. Compare and contrast different techniques for scheduling complex task sets.
Teaching and Learning Methods
Seminars, computing exercises and practical classes. Guided Independent Study takes place mainly by private study (with
some additional support provided in laboratory sessions).
Assessment Methods
Coursework based on laboratory exercises. Resit by examination. Formative assessment takes place by providing feedback
to students on submitted coursework.
Pre-Requisites
EG7014 High-Reliability Embedded Systems.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7021
Radio Systems
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Alan Stocker
PGT Mark Scheme
No.
Assessment Description
011
013
014
Coursework
Examination
Resit Examination
Student Workload (hours)
Lectures 20
Seminars
Practical Classes & Workshops 12
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 80.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
Qual Mark Exam Hours
30
70
100
Ass't Group
2
2
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, typical students should be able to demonstrate that they have a broad appreciation of a wide range
of radio system applications and have developed a knowledge of their modes of operation, the equipment requirements and
limitations and the radio propagation mechanisms.They should also be able to demonstrate that they have developed an
ability to calculate and comment on the important operational parameters of several of the systems discussed in the module.
Students should also demonstrate knowledge of and an ability to apply the basic underlying physical and other principles of
wireless communications.
Teaching and Learning Methods
Lectures, directed reading, practical classes.
Guided independent study is private study (supported by office hours and electronic discussion boards).
Assessment Methods
Formal written examination (70%), two laboratory exercises (15% each). The coursework component cannot be retaken.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7022
Digital Communications
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
David Siddle
PGT Mark Scheme
No.
Assessment Description
011
012
013
014
Laboratory Exercises
Design Exercise
Blackboard Computer Examination
Resit Examination
Student Workload (hours)
Lectures
Seminars 11
Practical Classes & Workshops 24
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 77
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 112
Weight %
30
30
40
100
Qual Mark Exam Hours
Ass't Group
1
1
Alt Reass't
Y
Intended Learning Outcomes
On completion of the module, a typical student will have developed an appreciation and understanding of:
1. digital modulation methods, and the effects of noise and channel distortions;
2. coding and complex modulation formats to negate the effects of noise and fading, and;
3. voice and picture encoding
and will be to
1. model various components of a digital communication system using MATLAB and the associated communications
blockset;
2. predict the effect of noise and distortion on the digital signal;
3. assess the efficacy of various coding schemes in negating the effects of noise and fading; and 4. choose methods of voice
and picture encoding to suit the digital signal to be enhanced
5 apply original thought to the development of practical design within given constraints.
6. demonstrate logical thought through writen communication and
7. use the output of a computational design tool to evaluate designs against given criteria
Teaching and Learning Methods
Seminars, directed reading, laboratory work, design exercise.
Assessment Methods
Final examination (40%).
Laboratory exercises (30%).
Design exercise (30%).
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7023
Radio Communications
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
David Siddle
PGT Mark Scheme
No.
Assessment Description
001
002
003
004
Labwork
Project
Written Examination
Resit Examination
Student Workload (hours)
Lectures 16
Seminars
5
Practical Classes & Workshops
Tutorials 21
Fieldwork
Project Supervision
1
Guided Independent Study 69.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
30
30
40
100
Qual Mark Exam Hours
Ass't Group
1.5
1.5
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, students should be able to
Create a power budget for a radio link, specifying what parameters need to be input, and using these to assess the efficacy of
the link.
Calculate the maximum range of a terrestrial radio link, given the details of the antennas and information about the
atmosphere.
Given an obstacle to a line-of-sight link, get the relavant dimensions and hence estimate the excess loss caused.
State the relative advantages of a physical model and an empirical model of propagation, give an example of each.
Use data presented in an ionogram to assess the quality of an ionospheric radio link between any two stations.
Identify the requirements for the planning and operation of a number of communications systems (e.g. HF broadcasts and
VHF/UHF systems including mobile telephones).
Outline and calculate the limitations of such systems due to signal loss and channel distortion.
Demonstrate the use of a variety of the prediction techniques and simulation software that are available to aid the system
designer.
Apply these principles to designing a telecommunication system
Create an original design solution for an urban mobile phone system, given engineering and other constraints.
Give a clear logical argument in a written document to support their design.
Quantitatively assess the risk that a cellular communications system will ail to provide service, against social and economic
factors relevant to its operation.
Teaching and Learning Methods
Lectures, directed reading, student presentations, laboratory work, design project.
Assessment Methods
Final Examination 40%
Laboratory Work 30%
Design Project 30%
Pre-Requisites
Co-Requisites
Last Published:
June 10, 2016
Module Specification
EG7023
Radio Communications
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7029
Computational Fluid Dynamics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Aldo Rona
PGT Mark Scheme
No.
Assessment Description
011
001 - Written Examination
Student Workload (hours)
Lectures 22
Seminars
0
Practical Classes & Workshops
0
Tutorials
0
Fieldwork
0
Project Supervision
0
Guided Independent Study 91
Demonstration
0
Supervised time in studio/workshop
0
Work Based Learning
0
Placement
0
Year Abroad
0
Total Module Hours 113
Weight %
100
Qual Mark Exam Hours
Ass't Group
Alt Reass't
2.5
Intended Learning Outcomes
At the end of this module, typical students will be able to:
1. Select appropriate computational domains, turbulence models, boundary conditions and simulation methods for flow of
practical 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 the
accuracy of the obtained flow solution;
4. Outline the different types of CFD codes that are available and explain the suitability of these codes to a specific flow
problem;
5. Discuss the current trends in supercomputing and explain their relevance to Computational Fluid Dynamics;
6. Use the concept of parallelization efficiency for sizing the computational resources and the wall time of a representative
High Performance Computing CFD application.
Teaching and Learning Methods
Lectures, example sheets, surgery hours.
The hours allocated to Guided Independent Study are for private study.
Assessment Methods
Formal written examination. Formative assessment is provided through continual feedback on example sheets in class.
Example sheets are provided on Blackboard, the University of Leicester Virtual Learning Environment document repository
Pre-Requisites
EG7026 Advanced Fluid Dynamics.
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7031
Advanced Materials Modelling
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Hugo Williams
PGT Mark Scheme
No.
Assessment Description
001
Formal Written Examination
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 91
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 113
Weight %
100
Qual Mark Exam Hours
Ass't Group
Alt Reass't
2.5
Intended Learning Outcomes
At the end of this course, typical students should be able to conduct structural analyses of fibre-reinforced composites. This
includes the theory of anisotropic elasticity, upper and lower bounds of effective properties such as extensional and
transverse stiffness for individual plies, in-plane and out-of-plane plate theory for the extension and bending of laminate
structures and failure mechanisms and failure criteria for plies and laminates. They should also be able to quantitatively
assess structural composite components and design suitable laminates lay-ups for specific applications, subject to economic
constraints. They should be able to define the processes involved in designing a fibre-reinforced composite component.
Teaching and Learning Methods
Lectures; Examples sheets; Surgery Hours.
Assessment Methods
End of semester examination (100%).
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7034
Advanced Electrical Machines
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Paul Lefley
PGT Mark Scheme
No.
Assessment Description
001
002
Examination
Resit Examination
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 90.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
Qual Mark Exam Hours
100
100
Ass't Group
3
3
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, students will be able to make detailed calculations and predictions of the operation of machines
under 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 appropriate
performance analysis.
3) To explain and critique the construction, design and operation, of switched reluctance motors and apply appropriate
detailed analysis for evaluation of machine performance, including stator and rotor pole numbers and the relationship to the
number of phase windings.
4) To apply advanced methods including d-q axis matrix methods and state space representation for electrical machine
analysis, including the prediction of steady-state and transient performance of various DC and AC machines under various
mechanical load conditions.
Teaching and Learning Methods
Lectures, example sheets and directed reading.
Assessment Methods
Formal written examination (100%)
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7035
Advanced Electronically Controlled Drives
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Paul Lefley
PGT Mark Scheme
No.
Assessment Description
001
002
Examination
Resit Examination
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 90.5
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours112.5
Weight %
100
100
Qual Mark Exam Hours
Ass't Group
3
3
Alt Reass't
Y
Intended Learning Outcomes
At 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 it
is 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 simulations, and
to undertake set exercises to provide a deeper understanding and to broaden their background knowledge in this area.
Teaching and Learning Methods
Lectures, example sheets, surgery hours.
Assessment Methods
100% Formal written examination.
Pre-Requisites
EG7034 Advanced Electrical Machines
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7037
Advanced Solid Mechanics
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 1
E
Coordinator:
Mark Scheme:
Jingzhe Pan
PGT Mark Scheme
No.
Assessment Description
001
Examination (Final)
Student Workload (hours)
Lectures 11
Seminars
Practical Classes & Workshops 22
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 80
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 113
Weight %
100
Qual Mark Exam Hours
Ass't Group
Alt Reass't
2.5
Intended Learning Outcomes
This module is to provide the students with an advanced theoretical grounding as well as hands on practical experience in
modern finite element 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 in the finite element analysis for the design of different engineering structures and
equipment under different conditions
c) validate finite element analysis using simple analytical solutions and equilibrium conditions in practical design problems
The topics covered by the module include elastic analysis, plastic analysis, creep analysis, mesh convergence, use of submodels and selection of different finite elements and constitutive laws for different applications.
Teaching and Learning Methods
Lectures (one per week) and supervised practical exercises (2 hours per week) using a commercial finite element package.
The guided independent studies are for students to complete the exercises set out in the practical sessions and revise the
taught materials in the lectures in their own time.
Assessment Methods
Written Examination. Verbal and one-to-one feedbacks will be given in the timetabled practical sessions (2 hours per week)
by the tutor. No formal formative assessment will be made in the module.
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7040
Nonlinear Control
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Matthew Turner
PGT Mark Scheme
No.
Assessment Description
001
002
003
Examination
Closed book test
Resit Examination
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 90
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 112
Weight %
67
33
100
Qual Mark Exam Hours
Ass't Group
2
1
2
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, a typical student will be able to:
1) Explain the limitations of linear analysis techniques for nonlinear control systems
2) Demonstrate the application of nonlinear analysis techniques, using a range of different methods including phase-portraits
and time-domain state-space methods.
3) Analyse the stability of nonlinear systems using Lyapunov's second method and related tools
4) Discuss the concept of passivity and use this concept to analyse stability of interconnected nonlinear systems
5) Assess the stability of Lur'e systems using the so-called Circle and Popov Criteria
6) Apply nonlinear control system design methods including feedback linearisation (nonlinear dynamic inversion) and
Lyapunov-based design methods such as backstepping to simple nonlinear control problems.
7) Critique the usefulness of nonlinear control methods in engineering problems.
8) Students should be familiar with state-space control concepts and should be able to manipulate state-space equations and
evaluate state-space control problems.
Teaching and Learning Methods
Lectures, example sheets, surgery hours, directed reading.
Assessment Methods
End of year examinations (100%)
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016
Module Specification
EG7060
Dynamics of Mechanical Systems
Academic Year:
Module Level:
Scheme:
Department:
Credits:
2016/7
Postgraduate
PG
Engineering
15
Period:
Occurence:
Semester 2
E
Coordinator:
Mark Scheme:
Emmanuel Prempain
PGT Mark Scheme
No.
Assessment Description
001
002
003
Examination
Test
Resit Examination
Student Workload (hours)
Lectures 22
Seminars
Practical Classes & Workshops
Tutorials
Fieldwork
Project Supervision
Guided Independent Study 90
Demonstration
Supervised time in studio/workshop
Work Based Learning
Placement
Year Abroad
Total Module Hours 112
Weight %
70
30
100
Qual Mark Exam Hours
Ass't Group
2
1
2
Alt Reass't
Y
Intended Learning Outcomes
At the end of this module, students should be able to demonstrate an understanding of kinetics of rigid bodies in planar
motion, kinematics of 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 (beams etc).
They should also be able to understand how to apply analytical tools and methods to mechanical systems from a broad range
of application domains.Students should also be able to use analytical dynamics (Lagrangian) to solve advanced engineering
dynamical problems.
Teaching and Learning Methods
Lectures, example sheets Assessment Methods
Formal written examination (100%)
Pre-Requisites
Co-Requisites
Excluded Combinations
-
Last Published:
June 10, 2016