Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
Introduction: Fluids and Other Materials:
Hydrostatics:
Fluid mechanics
Thermodynamics 1
Fluid mechanics and Thermodynamics
Thermodynamics 2
Molecular Structure of Polymers
Amorphous Polymers
Ordering in Polymers
Blends and Composites
Properties of engineering materials relevant to failure
Elements of fracture mechanics
Metals and Alloys: microstructure vs mechanical properties
Microstructure control in metal alloys during solidification
Diffusion
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | Tutorials with assigned work sheets and problems | 8 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Assessed problem sheets | - | 20% |
| Exam | 2 hours | 80% |
Referral Method: By examination
This modules aims to provide practical skills in how to approach the modelling and design of a large critical software project. The module covers modelling techniques from requirements analysis to design and introduces a range of tools and approaches. In particular, formal modelling and tools to support this are covered. The inclusion of these derives from the demand of critical systems for rigourous Requirements Engineering with strong Validation and Verification practice. The module is compulsory for MSc Software Engineering students. Experience of Object-Oriented programming is assumed and some familiarity with UML would be an advantage.
On successful completion of this module you will:
Be able to use structured design methods and design patterns proficiently
Be able to demonstrate understanding of the relationship between formal modelling and software engineering
Be able to conduct refinement and verification in Event-B
Be able to use a variety of CASE tools and IDEs
Be able to apply modelling techniques to critical systems
Analysis and Design -
Requirements Engineering
System Analysis and Design Principles
Architectural and Detailed Design in OO
Approaches to Software Testing
Tools -
Tools for UML
Rodin for Event-B
Critical Systems -
Design for Critical and Safety Critical Systems
Levels of Criticality
Formal Modelling of Critical Systems
Validation and Verification
| Activity | Description | Hours |
|---|---|---|
| Lecture | Lectures covering the course material | 24 |
| Tutorial | Exercises to consolidate the learning and use of tools | 24 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Group Activity - Modelling of Software System using UML-based approaches | - | 15% |
| Group Activity - Modelling of Software System using Event B | - | 15% |
| Exam | 2:30 hours | 70% |
Referral Method: By examination
This module introduces both the wireless and optical propagation environments, the modelling of the corresponding channels as well as their implications on the design and architecture of wireless and optical communications systems. The basic principles of digital transmission in both wireless and optical communications are considered, including the techniques of enhancing the reliability of wireless and optical systems. The fundamental multiple-access and multiplexing concepts as well as the principles and challenges of broadban communications are also covered.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Wireless Communications
- Radio propagation issues: pathloss, slow-fading, fast-fading, dispersion, wideband channels, power-budget, etc
- Cellular principles and multiple access techniques, such as FDMA, TDMA, CDMA, SDMA, OFDMA, etc.
- Modulation schemes, detection techniques and error rate calculations;
- Coherent and non-coherent communications;
- Space-time processing principles and diversity techniques;
- Direct-sequence code division multiple-access;
- Frequency-hopping code division multiple-access;
- Hybrid spread-spectrum code division multiple-access;
- Broadband multicarrier and orthogonal frequency division multiplexing (OFDM) communications.
Optical Communications
- WDM systems
- dispersion (material and waveguide) but not based on derivations of modes
- effects of dispersion on choices of fibre - DSF, DCF and NZ-DSF
- multimode fibres and capacity
- nonlinear limits on power transmission
- electronics dispersion compensation
- advanced coding formats applied to optical comms
- error budget and simple comparison to back-to-back BER / power
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Space time coding parametrisation and design in Matlab | - | 5% |
| OFDM parametrisation and design in Matlab | - | 5% |
| Modelling of material and fibre dispersion in Matlab | - | 5% |
| Exam | 2.5 hours | 85% |
Referral Method: By examination
This course builds on the learning outcomes of the Foundations of Web Science module to provide a deeper into an understanding of how a number of disciplinary perspectives can illuminate our understanding of specific Web phenomena.
A civil servant goes into work one morning to find out that she has to brief her Minister that afternoon before he faces questions in the House on the new replacement for the Digital Economy 2010 bill. A consultant has 4 hours to prepare a strategic response for BBC Online to the government's latest white paper on license fee funding. The SPARC scholarly publishing lobbying group needs to respond to an Open Access copyright development by producing an immediate press release for higher education leaders.
A Web scientist acting as a strategic consultant will be able to respond in the above circumstances, extracting relevant information from policy documents and creating a balanced response based on the best economic, sociological, technical, legal expertise that informs and provides appropriate evidence for strategic action. This module aims to give students both the information necessary to consider a range of issues relevant to the Web, and the experience of deconstructing policy documents and synthesising a comprehensive response in a short time.
Pre-requisites: WEBS6237 Foundations of Web Science
After completing this module you will
After successfully completing this module you will be able to
Each week is centred around a guest lecture from an external speaker on a variety of topics under the following headings:
| Activity | Description | Hours |
|---|---|---|
| Lecture | 1 lecture per week; each lecture is a stimulating talk giving an insight into a particular issue which also comes with a set of research papers and reports to read and a problem to address. | 10 |
| Tutorial | After each lecture students will discuss the literature in student-led small-group seminars. | 10 |
| Tutorial | After each lecture students will workshop a response to a set problem based on the evidence in the literature. |
The examination must be sat at computers, with full access to the Web and other information services. (Only synchronous communication during the exam is barred.)
| Method | Hours | Percentage contribution |
|---|---|---|
| Exam | 3 hours | 100% |
Referral Method: By examination
The aim of this module is to provide non-computer science specialists (especially those who do not have any experience of programming) with an understanding of the topics, issues and challenges in Computer Science that will enable them to engage computational approaches to problems while acting as professionals and researchers in related fields. This principles of this module are based on Wing, J. (2006) Computational thinking, Communications of the ACM, v.49 n.3.
The discipline of Computer Science is built on a broad understanding of hardware systems, software algorithms, computation, information handling, modelling; topics that are laid out in the standard ACM Computer Science curriculum. A Bachelors degree introduces students to these areas and attempts to give expertise in a range of these subjects (the choice of which is determined by the focus of the course). A Masters level Computing degree will provide a more intensive treatment of these topics, with an aim to allow the student to work at the forefront of the discipline. This module aims to provide students who do not have a computing background with an understanding of the scope and importance of the broad range of computer science topics.
| Activity | Description | Hours |
|---|---|---|
| Lecture | Computing Science principles and techniques | 8 |
| Computer Lab | Hands on Python & Raspberry Pi sessions | 10 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Public Engagement Presentations | - | 40% |
| Teaching Activity | - | 20% |
| Programming Labs | - | 20% |
| Raspberry Pi Coursework | - | 20% |
Referral Method: By set coursework assignment(s)
To provide an understanding of the design and layout of digital VLSI circuits and systems through laboratories and design exercises making use of appropriate CAD tools.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
| Activity | Description | Hours |
|---|---|---|
| Computer Lab | A three-hour laboratory slot is reserved once per week to assist students. | 36 |
| Lecture | Lectures to support the laboratory activities and to prepare for second semester VLSI design. | 24 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Mini design assignment with electronic submission of designs - Desex1 | - | 10% |
| Mini design assignment with electronic submission of designs - Desex2 | - | 20% |
| Design assignment with formal documentation - Desex3 | - | 35% |
| Design assignment with formal documentation - Desex4 | - | 35% |
| Lab (attendance and log book assessment) | - | 25% |
| Calculation of final mark = (Desex1 + Desex2 + Desex3 + Desex4) * ( 75% + LABmark ) | - | 100% |
Referral Method: By set coursework assignment(s)
This module provides a systematic understanding of knowledge and critical awareness of issues related to the management and design of high voltage insulation systems. The course introduces a number of topics related to the design and testing of insulation systems and breakdown phenomena in insulation materials. The students will also be exposed to research activities undertaken within the Tony Davies High Voltage Laboratory. The lectures (seminars) are intended to support student self-learning activities and it is expected that the students should make use of a wide range of information resources including current IEC standards and research papers. Two assessment activities are designed to provide scope for students to work as a team (bushing insulation design) and individually (partial discharge classification). A range of skills, including technical (electric field simulation and programming) and transferable skills (presentation) are required to complete the two assignments.
Students are not required to have taken ELEC3211 before taking ELEC6225, but it is strongly recommended.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
Insulation System Design, Electrical Breakdown and Materials (8 Lectures)
Review of electrical insulating materials, properties, composites, use in HV equipment, partial discharges, material ageing, surface and bulk breakdown processes. Cable, transformer, capacitors and Bushing Insulation design and stress control.
HV Testing and Measurement Techniques (6 Lectures)
International, BSI and IEEE Standards. Partial discharge, capacitance tan delta, withstand, lightening impulse etc. Material based of current IEC standards. Condition monitoring and assessment of HV insulation systems.
Research Issues (6 lectures)
Solid Insulation: Electrical treeing and short-term breakdown processes, test geometries, environmental factors. Short term breakdown tests. Condition assessment, partial discharge detection and characterisation.
Liquid Insulation: Discharges in oil, DGA and degradation of transformer oil.
Gas Insulation: Production of corona, plasma, problems and applications
Electrical Field Control and Insulation Design (4 lectures)
Bushing design
Cable insulation design
| Activity | Description | Hours |
|---|---|---|
| Lecture | Lectures covering core materials | 24 |
| Tutorial | Assignment One progress meeting and feedback sessions for CWs | 4 |
| Method | Hours | Percentage contribution |
|---|---|---|
| 275 kV Bushing Insulation Design - Students work in groups to design 275 kV bushing based on materials and dimensions provided using one of the two electric field grading methods. The electric field at crucial regions needs to be simulated using available software. Assessment based on the electric field, PD inception voltage and flashover voltage should be made on the bushing. | - | 60% |
| Partial discharges and clsssifcation - In this work the students work in paris. They are required to do 10 minutes oral presentation on PD and PD classification/identification. They are also required to write a program that can identify PD type from an unknown data obtained from HV laboratory. | - | 40% |
Referral Method: By set coursework assignment(s)
This module introduces and develops the knowledge in fundamental electromagnetics for second year Electrical and Electronic Engineering students. The course presents the basic concepts of electromagnetic theory from a physical and application point of view. The vector algebra used in electromagnetic theory is introduced in the electromagnetic field context. The course uses numerical methods to solve and visualise electromagnetic fields for simple problems so that students gain a better understanding of the electromagnetic field theory which is core of any electrical and electronic engineering degree.
The students should have covered in their first year Mathematics for Electronic and Electrical Engineering (MATH 1055) and Electric Materials and Fields course (ELEC 1206). Although these two courses are not pre-requisites, students will cope better with the material of this course if MATH 1055 and ELEC 1206 were already covered in their first year.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
| Activity | Description | Hours |
|---|---|---|
| Lecture | 36 | |
| Tutorial | 6 | |
| Specialist Lab | 9 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Eddy current screening | - | 5% |
| Magnetostatic screening – properties of magnetic materials (magnetic permeability) | - | 5% |
| Radiation experiment – dipole and monopole radiation, differential transmission line, reflectors, directivity and radiation pattern | - | 5% |
| TAS+FD+FE | - | 17.5% |
| FE using Magnet | - | 17.5% |
| Exam | 2 hours hours | 50% |
Referral Method: By examination, with the original coursework mark being carried forward
This module aims to introduce to the students signal processing techniques, including analogue and digital filter design and systems design theories. The module also introduces the concepts of statistical signal processing including estimation and detection theories, with illustrative case studies to demonstrate how these techniques can be used in communications systems.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
| Activity | Description | Hours |
|---|---|---|
| Lecture | Three lectures per week | 36 |
| Tutorial | One tutorial session per week | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Deterministic filter design coursework | - | 10% |
| Statistical signal processing coursework | - | 10% |
| Exam | 2 hours | 80% |
Referral Method: By examination
The challenge of computer vision is to develop a computer based system with the capabilities of the human eye-brain system. It is therefore primarily concerned with the problem of capturing and making sense of digital images. The field draws heavily on many subjects including digital image processing, artificial intelligence, computer graphics and psychology.
This course will explore some of the basic principles and techniques from these areas which are currently being used in real-world computer vision systems and the research and development of new systems.
This module will be taught together with COMP3204 Computer Vision. This module will have higher requirements on the desired learning outcomes which will be assessed by a different set of coursework.
Objectives:
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module, you will be able to:
Having successfully completed this module, you will be able to:
| Activity | Description | Hours |
|---|---|---|
| Lecture | Lectures and demonstrations of material | 24 |
| Tutorial | Students develop and present implementations of basic material | 12 |
| Method | Hours | Percentage contribution |
|---|---|---|
| Experiment with a classical computer vision technique | - | 10% |
| Build basic technique | - | 15% |
| Group coursework | - | 20% |
| Exam | 2 hours | 55% |
Referral Method: By examination and a new coursework assignment