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Electronics and Computer Science

ELEC6213 Image Processing

Module Overview

This module is useful to introduce:

-Image processing and its relation to signal processing.

-Image transformations for filtering, coding and etc.

-histogram processing algorithms to enhance image qualities and visibility.

-Theories analysing and understanding images using feature extraction, segmentation, and texture modelling.

-linear and nonlinear methods for shape registration, noise reduction and restoration.

-Image classification and object recognition.

-Edge detection

Aims & Objectives

Aims

-To learn how images can be digitised and stored in computers

-To know and understand how computers can process digital images

-To learn how to do linear and nonlinear filtering on images

-To know of the relation to signal processing and other fields

-To learn how to extract features from images

-To learn how to use features to classify images for recognition

-To learn what segmentation is and how to do segmentation in digital images

Syllabus

  • Overview [1];
  • Image acquisition and sampling theory [1];
  • Image transformations [2]:Fourier, Discrete Cosine and Wavelet;
  • Histogram processing and linear filtering [1];
  • Point processing and operations [1];
  • Calculus of variations and Lagrange miltipliers [2];
  • Active contours [4]: Kass Model and Level Set formulation;
  • Geodesic Active contours [2];
  • Shape Registeration [1];
  • Image noise reduction[1];
  • Anisotropic Diffusion [1];
  • Image Restoration [3]: Wiener Filter and total variation;
  • Shape description [3];
  • Image Classifcation and Recognition[1];

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture24
Computer Lab24

Assessment

Assessment methods

MethodHoursPercentage contribution
Practical laboratory work-30%
Exam2 hours70%

Referral Method: By examination

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ELEC6212 Biological Inspired Robotics

Module Overview

This module lies at the intersection of robotics and biology. Through the abstraction of design principles from biological systems, it is possible to develop a range of core competences, inlcuding mechatronic systems, sensor and actuator technologies. By taking this module students will get an understanding of adaptivity and autonomy of animals through robotics, and have the opportunity to design, build and test novel robotic applications which are more adaptive, maneuverable, resilient, and energy efficient than current designs. Previous robots developed have included the Formica swarm robot, mobile platforms, swiming and flying robots, robotic heads and a range of advanced sensors.

Aims & Objectives

Aims

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Work effectively as a group in a professional manner

Subject Specific Practical

Having successfully completed this module, you will be able to:

  • Complete a self-directed design and build project relating to biologically inspired robotics.
  • Develop skills related to the design, construction and testing of advanced robotic systems.

Disciplinary Specific

Having successfully completed this module, you will be able to:

  • Have a deep understanding of bilogically inspired robotics and its current impact on robotic research.

Syllabus

A number of introductory lectures will cover the following, prior to students developing their own designs.

  • What is a biologically Inspired Robotic System, and its advantages and disadvantages
  • Mobility systems (legs, swiming and flying system)
  • Sensors (tactile, vision, electronic nose, etc)
  • Swarm robotics
  • Control architectures
  • Emerging fields of study.

The purpose of the 3-4 introductory lectures is is give the students an appreciation of the scope of the subject and provide the knowledge and understanding to allow the groups to undertake research to allow the definition of the individual projects.

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
LectureThe initial seminars will provide an introduction to the module and Biologically Inspired Robotics. Students will be encouraged to gain background knowledge through directed reading. The lecture slots will also be used for the student's elevator pitches and final presentation. 8

Assessment

Assessment methods

MethodHoursPercentage contribution
Quality of the Initial Plan.-5%
Technical Execution-40%
Documentation-30%
Individual contribution to Wiki or video-20%
Individual reflection-5%

Referral Method: There is no referral opportunity for this syllabus in same academic year

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ELEC6211 Project Preparation

Module Overview

The Project Preparation Module will prepare students for the summer Masters Project. It will give students a grounding in the research methods and techniques they will need in order for them to plan and successfully execute and complete their project.

 

Part of the Module involves identifying potential areas of research, negotiating with the Programme Leader and potential supervisors.  This will involve general research and the review of literature and the identification of a research question or questions.  They will then develop a research plan which will be presented in summary form via a submitted coursework and a Poster presentation.  This will be presented via the Module Poster Exhibition at the end of the semester.

 

It is expected that as part of this module the students will undertake appropriate preparatory study for their summer project, e.g. learning specific new analytical, simulation or other technical skills where necessary.  The module also teaches students what it is to be a professional practitioner, examining ethical and legal issues around professional practice.

The aim of this module is for students to demonstrate appropriate mastery of research methods, including an understanding of how to perform critical evaluation of a review of the literature, leading to the creation of a project plan to explore identified research question(s).

Aims & Objectives

Aims

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • The general background to the subject of your summer project topic.
  • Demonstrate their knowledge and understanding of professional codes of practice, legal, social, cultural and ethical issues and an awareness of societal and environmental impact;
  • The general background to the subject of your summer project topic.
  • The concepts of project planning and risk management

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Demonstrate their knowledge and understanding of appropriate qualitative and/or quantitative research methods;

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Identify and describe appropriate research questions, and devise the means to address those questions through subsequent research/project work;
  • Carry out a critical review of literature, including current developments, analysing them and identifying limitations and avenues for further research and development;
  • Be able to present a project plan to a public audience;
  • • Understand where necessary how to assess and obtain ethical approval for a project.

Syllabus

The syllabus will develop skills required for students to be able to undertake research in the area of their identified summer project.  It will also introduce them to specific tools, the appropriate research and data collection methods, as well as the quantitative or qualitative analytical methods required.  It will also cover the planning and development methods necessary to deliver a viable Project Outline for the work over the summer term.

Development of the project research topic:

1. Literature review:

  • Reading and summarising relevant articles
  • Critical analysis and evaluation of research
  • Identification of themes and comparators
  • Writing review documents

2. Scientific method and nature of evidence

  • Experimental methods
  • Design methods
  • Simulation techniques
  • Data collection and management for quantitative data
  • Human participants: expert reviews, focus groups, questionnaires and interviews
  • Analytical techniques and tools
  • Statistical techniques for analysing data

3. Ethical issues

  • Ethical and societal challenges
  • Positions and model of ethics
  • Business ethics and corporate responsibility
  • Personal and workplace ethics.

4. Legal and professional issues

  • Ownership, copyright and patent
  • workplace legislation
  • data protection
  • privacy and security
  • environmental responsibility.
  • Health and Safety: Good practise and policy

5. Professional Issues

  • Professional societies.
  • Codes of conduct and practice;

6. Project management and report writing

  • Project planning and management
  • Risk analysis
  • Report structure and style
  • Report writing

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
LectureLectures on a range of topics, some general in nature, some specific to the cohorts.10
Project supervisionWeekly meetings with supervisors after project allocation has been performed.4
TutorialProgramme specific discussion sessions related to the general nature of each area, as well as the allocation of project supervisors.3

Assessment

Assessment methods

This assessment will require the use of a second examiner and moderation, on an individual case-by-case basis, as for other projects.

MethodHoursPercentage contribution
Literature Review-40%
Project Plan and methodology-30%
Poster Presentation -30%

Referral Method: By set coursework assignment(s)

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COMP6201 E-Business Strategy

Module Overview

This course exposes students to the problems and methods of strategic management of large scale e-business systems. These are systems whose continuing operation and evolution is vital for the business or organisation that they serve. IT managers and CIOs must ensure that systems are effective and cost-effective, that new projects give a good return, and that emerging technologies are evaluated and, where appropriate, adopted in an orderly manner. Similarly, emerging risks such as security threats must be evaluated and addressed using appropriate and cost-effective techniques.

About half of the course is devoted to directed reading, presentations and reports on significant technologies. The other half concerns case-studies in enterprise and e-business systems.

Aims & Objectives

Aims

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Describe the principles of strategic management
  • Describe systems architecture and technologies for systems integration

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Define and quantify the benefits, costs, risks and time-scales associated with new strategic e-business or IT initiatives.
  • Compare and evaluate alternative e-business strategies and technologies
  • Justify and promote strategic initiatives, such as adopting a new e-business system or technology

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Prepare and deliver senior management reports and presentations

Syllabus

 1.    Technology-enabled business transformation, alignment of business and IT

2.    Approaches to strategy creation, SWOT analysis, senior management presentations

3.    IT governance, risk management, reporting structure

4.    Software economics, cost management, ROI, time to pay back, outsourcing, utility computing, business and IT metrics, dashboards and balanced scorecards

5.    Enterprise computing, middleware, business applications (ERP, SCM, CRM, CMS)

6.    The role of CIOs and consultants

7.    Advanced presentation and report writing skills for business

8.    Case studies based on use of e-business techniques and technology in a range of organisations

Learning & Teaching

Learning & teaching methods

Lectures, Directed Reading, Student Presentations and Reports

ActivityDescriptionHours
LectureLectures will present the core material for the module. In addition, some classes may be used for students to present their work for assessment.24
TutorialExtra activities will take place in tutorial sessions, where for example students may practice for their assessed presentations.12

Assessment

Assessment methods

MethodHoursPercentage contribution
Evaluate an existing business, its IT/e-business systems, recommend and justify changes & improvements to it (6 pages)-30%
Working individually, and in a group of two students, present your proposal to senior management (3 minutes individual pitch, 7 minutes as a pair)-30%
Working in a group of 2 students, write a report to evaluate and justify a potential new or improved IT/e-business solution & possible suppliers (8 pages)-40%

Referral Method: By set coursework assignment(s)

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WEBS6201 Foundations of Web Science

Module Overview

The World Wide Web has changed the world. It has changed the ways we communicate, collaborate, and educate. We increasingly live in a Web-dependent society in a Web-dependent world. The Web is also the largest human information construct and it is growing faster than any other system. Web Science aims to predict the impact that future developments in the Web will have on society or business, from search engines and social media to the forthcoming Web of Things. Web Science is the study of the social behaviours in the Web at the inter-person, inter-organizational and societal level, the technologies that enable and support this behaviour, and the interactions between these technologies and behaviours. It is therefore inherently interdisciplinary and represents a fundamental collaboration between computer science and the social sciences.

This module provides an introduction to Web Science methods, the issues that it addresses and an appreciation of the diverse set of disciplines that make up this multidisciplinary research area.

This module does not require technical Web expertise in the form of programming or Web site administration. It does require experience of using a wide variety of Web sites and services.

Aims & Objectives

Aims

After completing this module you will

  • know the historic context of the development of the Web
  • appreciate the socio-technical nature of Web phenomena
  • understand key sociological theories about development of technology
  • be familiar with different discioplinary perspectives on the nature and utility of the Web

After successfully completing this module you will be able to

  • use sociological theories to describe and predict the nature of the Web in general and specific kinds of Web engagements
  • identify the positive and negative issues (e.g. communication, privacy, piracy, ) that the Web enables 
  • choose useful research tools to analyse Web deployments 

Syllabus

  • Web History
  • Analysis of Web Usage
  • Philosophy of Science
  • Sociology of Scientific Knowledge
  • Social Construction of Technology
  • Actor Network Theory
  • Cyborg Manifesto
  • Cognisphere
  • Perspectives on the web from sociology, psychology, politics, maths, languages, law, engineering etc.

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
LectureTwo standard lectures per week for the first 7 weeks14
LectureSix guest lecture slots. These could be in weeks 8-10, or could be run in parallel with weeks 1-7.6
TutorialStudent led seminars and discussion will take place during weeks 1-7.6

Assessment

Assessment methods

MethodHoursPercentage contribution
Formal Essay on Application of Socio-technical Web Theory-50%
Blog Post on Multidisciplinary Web Science Perspectives-50%

Referral Method: By set coursework assignment(s)

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COMP3214 Principles and Practice of Computer Graphics

Module Overview

The manipulation and display of geometric information is at the heart of many computer applications and graphical output plays an important part of modern Human - Computer interactions.

The aim of this course is to show how to generate, manipulate and display synthetic scenes. The module concentrates on the generation of 3D images in a Computer Games context.

The module covers the underlying theory and algorithms, as well as providing opportunity to practice the use of these techniques in an OpenGL Environment.

Mathes up to basics calculus, matrices and vectors. Programming in C++, using an Object Oriented interface but not necessarily generating them.

The modules is not about human computer interfaces, windowing systems, specific API's or 3D content creation tools like Blender or Maya 3D.

Aims & Objectives

Aims

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • The challenges of producing realistic 3D computer graphics
  • The maths behind the coordinate systems and transforms used in 3D computer graphics
  • The physics behind light, illumination and shading
  • Low level techniques for rendering lines, polygons and text, and solving hidden surface visibility
  • Physics based models of games and simulations

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Model shapes from a fundamental basis, such as polygon meshes and cubic parametric curves

Subject Specific Practical

Having successfully completed this module, you will be able to:

  • Program 3D applications using OpenGL, using shaders on modern 3D hardware

Syllabus

  • A brief introduction to the capabilities of a popular graphics package. Introduction to primitive graphics elements, SDL, Direct X etc.
  • Programming in OpenGL, specifying shapes, geometry, viewing, animation and user interaction. Off-line rendering with ray tracing, radiosity and renderman. Emphasising the shader approach including the use of vertex, geometry and fragment shaders.
  • Manipulating pixels, line drawing and Bresenhams' algorithms. Arbitrary curves. Circles, Ellipses and filling areas. Flood Fill for polygon's. Scan converting polygons. Scan converting polygons. Smooth curves and splines, Beizier Curves. Pix Blit and its related techniques.
  • Device coordinates, Viewports and Windows. Transformations, translation, rotating scaling and shear. Device independent and device coordinates and graphics pipeline.
  • Clipping including the Cohen-Sutherland algorithm.
  • Introduction to vectors and homogeneous coordinates. Derivations of transformations and matrix representation. Show how transforms combine and how they are put together. Three dimensional transformations, Coordinate systems. The GLM maths library.
  • Concept of a synthetic camera and the perspective projection. 3-D Clipping and the view volume.
  • 3-D representation. Hidden Line and Hidden Surface removal using Z-Buffers. Introduction to BSP Trees.
  • Real world model for three D lighting. The intensity function. Gouraud and Phong Shading as approximations. Examples of different shadeing models.
  • Smooth curves, splines and surfaces, specifically Bezier Curves, C-Splines, Bezier Surfaces. Introducing tessellation shaders and rendering surfaces by subdivision. Nurbe curves and surfaces will also be discused.
  • Advanced lighting and reflection. Texture mapping, Mip Maps and Bump mapping. Shadow maps and environment maps. noise, especially Perlin noise will be discussed.
  • Physics based modelling of movement, collisions and their after effects. A simple physics engine will be described.

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture36

Assessment

Assessment methods

Coursework 4 will be double marked as judgement on the artistic merit of the submission is subjective.

MethodHoursPercentage contribution
Two 3 hour labs introducing low level 2D and basic 3D Computer Graphics.-10%
Introduction to OpenGL-10%
Introduction to physics based modeling-5%
3D world Simulation, using OpenGL and modeling where appropriate.-25%
Exam1.5 hours50%

Referral Method: By examination and a new coursework assignment

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ELEC6210 Biosensors

Module Overview

Biosensors combine the typical advantages of electronics and optics (high speed, micro/nanoscale fabrication, etc) with the unique recognition properties of biomolecules, which can selectively bind their target molecule even at a high background concentration of similar molecules. A generic biosensor consists of a transducer and a biomolecular interface: the analytes bind to the interface and the transducer transmits this binding event, for example as an electrical signal.

ELEC6210 starts with a brief recap of biomolecular structure and function and then proceeds with explaining how biomolecules can be attached to typical transducer materials. Subsequently, the working mechanism of the most common transducers is addressed in detail. The lectures will touch on the commercial criteria for a succesful biosensor, for example for point-of-care diagnostic applications.

The practical work takes places in the Centre for Hybrid Biodevices (aka the bioECS lab). You will first measure the amount of glucose in various samples with an enzymatic assay using a state-of-the-art UV-VIS photospectrometer and subsequently with commercial amperometric glucose sensors. The second experiment is an enzyme-linked immunosorbent assay (ELISA) for protein analysis of a blood sample.

The last weeks will be dedicated to analysis of specific papers from the scientific literature. In these tutorial sessions we will discuss key points of pre-selected journal papers with the entire group.

Note that ELEC6205 Bionanotechnology (semester 1) is a prerequisite for this module because ELEC6210 builds on biophysical and biochemical concepts introduced in ELEC6205.

Aims & Objectives

Aims

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Biosensor design
  • Biofunctionalization of nanofabricated materials

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Explain the working mechanisms of the most common types of biosensors
  • Appreciate the advantages and limitations of specific transduction mechanisms
  • Critically evaluate biosensor data from the scientific literature

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Write concise technical/laboratory reports in the format of a journal paper

Subject Specific Practical

Having successfully completed this module, you will be able to:

  • Perform some basic biochemical laboratory procedures
  • Construct and operate some biosensor types

Syllabus

Fundamentals

  • Structure and function of the major biomolecule classes
  • Biomolecular detection and biomolecular recognition themes
  • Immobilization of biomolecules on transducer surfaces
  • Conventional and nanotechnology-based transduction schemes
  • Data analysis and performance factors

Applications

  • Optical biosensors
  • Mechanical biosensors
  • Electrochemical biosensors
  • Enzyme-based biosensors
  • Antibody-based biosensors
  • DNA-based biosensors

Practical work

  • Construct an enzyme-based biosensor
  • Determine glucose concentration with UV-VIS spectroscopy
  • Set up an enzyme-linked immunosorbent assay (ELISA)
  • Measure a protein analyte in a blood sample
  • Evaluate biosensor performance

 

Learning & Teaching

Learning & teaching methods

This module uses a combination of lectures, practical work, literature study and discussions of scientific publications. Your report about the lab work will include a short literature review.

ActivityDescriptionHours
LectureLectures on module topics.20
Specialist Lab12
TutorialFive tutorials where key points of pre-selected journal papers are discussed in the group. This is also exam preparation as the exam consists of questions about journal papers. Three tutorial sessions support the laboratory, one for each experiment and also a feedback session on the coursework.8

Assessment

Assessment methods

The coursework will not be marked if the student has not attended the laboratory sessions.

MethodHoursPercentage contribution
Report on laboratory work, data analysis and literature context-50%
Exam2 hours50%

Referral Method: By set coursework assignment(s)

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ELEC6209 Practical Application of MEMS

Module Overview

The student will be introduced to state-of-the art sensor and instrumentation technologies by studying recent developments in the subject. The student will get the opportunity to study and investigate advanced sensor systems. The student will be presented with real-life engineering scenarios within which the technical work must fit.

Aims & Objectives

Aims

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • The properties of some physical sensors
  • Recent developments in sensor enabling technologies

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Apply knowledge of physical and electronic behaviour of sensors and interface circuits
  • Design a suitable package to interface with the physical sensor

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Write technical reports, documenting design and performance of electronic systems
  • Use a professional logbook to document experimental process and results

Subject Specific Practical

Having successfully completed this module, you will be able to:

  • Simulate the performance of a sensor and interface circuit
  • Use specialist test equipment to characterise/test devices

Syllabus

•  Applications of Sensors in Industry

•  Sensor Performance

•  Sensor Interface Circuits

•  Sensor Packaging

•  3D printing/rapid prototyping

•  Design of sensor and packaging

•  Simulation of physical process

•  Simulation of electrical interface and behaviour

•  Construction of package

•  Construction of sensor

•  Experimental procedure

•  Testing

•  Technical reporting of results

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture12
Specialist Lab8

Assessment

Assessment methods

Laboratory sessions are scheduled in the labs in building 16
Length of each session: 2 hours
Number of sessions completed by each student: 12
Max number of students per session: unlimited
Demonstrator:student ratio: 1:12
Preferred teaching weeks: 1 to 12

MethodHoursPercentage contribution
Assignment 1: research, design, report-30%
Lab session 1: simulation/construction-5%
Assignment 2: simulate, construct, report-30%
Lab session 2: characterisation/test-5%
Assignment 3: characterisation/test report and analysis-30%

Referral Method: By set coursework assignment(s)

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ELEC6208 MEMS Sensors and Actuators

Module Overview

The aim of this module is to provide an overview of the emerging Micro-system-technology (MST) and their applications. Students will gain an insight in the design of MST micro-electro-mechanical-systems (MEMS) and an understanding of the physics of different sensing and actuation mechanisms. They will become familiar with the technicalities of the most important examples of MST devices and will be prepared for this key technology. The basic knowledge on MST/MEMS taught in ELEC62XX Introduction to MEMS is pre-requisite. 

Aims & Objectives

Aims

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Key features of MEMS sensors, actuators and interface circuits, including state of the art RF applications
  • MEMS device characterisation

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • Design and model a typical MEMS sensor
  • Design and simulate interfaces for MEMS sensors and actuators

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Critically evaluate new technologies and present information in a concise report

Subject Specific Practical

Having successfully completed this module, you will be able to:

  • Use industry-standard software to simulate sensor interfacing circuits
  • Use standard methods to characterise basic MEMS devices

Syllabus

Sensing and Actuation

  • Introduction
  • Piezoresistive and Capacitive sensing
  • Electrostatic actuation
  • Pressure sensors
  • Accelerometers
  • Gyroscopes

Interfacing with Sensors and Actuators

  •   Bridge circuits
  •  Amplifiers (inc. transimpedance)
  •   Closed-loop control of systems
  •   Filtering and signal conditioning

RF MEMS

  • Tunable capacitors
  • Inductors on chip
  • Resonators
  • Mechanical filters
  • MEMS for mobile phones on-a-chip

Laboratory

  •     Modelling and characterisation of MEMS cantilever/beam

 

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
LectureLectures on module topics18
Tutorial2 coursework feedback session hours and 3 tutorial hours for lab activities 5
Specialist LabMEMS device characterisation lab4

Assessment

Assessment methods

The lab report will not be marked if the student has not attended the MEMS characterisation lab sessions.

Laboratory sessions are scheduled in the labs on level 2 of the Zepler building
Length of each session: 3 hours
Number of sessions completed by each student: 1
Max number of students per session: unlimited
Demonstrator:student ratio: 1:12
Preferred teaching weeks: 8

MethodHoursPercentage contribution
Sensing and Actuation-25%
Interfacing with Sensors and Actuators-25%
RF MEMS-25%
MEMS Lab report-25%

Referral Method: By set coursework assignment(s)

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ELEC6207 Quantum Devices and Technology

Module Overview

The aim of this module is to provide an overview of advancement of quantum devices and technology in line with the development of nanoelectronics and nanotechnology. Students will gain knowledge of basic quantum mechanics and how the quantum mechanics are playing a key role in the state-of-the-art nanoelectronics. Then they will become also familiar with quantum information processing including quantum computing and quantum communication technologies. 

Aims & Objectives

Aims

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • device scaling and quantum effects on nanodevices
  • the underlying operating principles of state-of-the-art nanodevices for logic and quantum device applications
  • the practical characterisation of MOS devices

Subject Specific Intellectual

Having successfully completed this module, you will be able to:

  • write a short essay for a given subject

Transferable and Generic

Having successfully completed this module, you will be able to:

  • Understand the inter-relation between different technologies in the design of integrated devices

Syllabus

 Theory of Quantum Mechanics

  • Schrodinger Equation
  • Heisenberg Uncertainty Principle
  • Quantization and Spin
  • Particle-Wave Duality
  • Entanglement

 Novel 1D/2D materials for advanced transistors

  • Silicon Nanowires Transistors
  • Carbon Nanotube: material and application
  • Graphene: material and application
  • Novel 2D materials

Novel transistor devices

  • Tunnelling FET
  • Single Electron Transistors
  • NEMS and Atomic switches

 Quantum Information Processing

  • Q-bits: Charge bits and Spin bits
  • Quantum Computing Devices
  • Quantum Communication Devices

 Laboratory

  • Electrical characterisation of MOS devices

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
LectureLectures on module topics18
TutorialCoursework feedback and exam revision3
Specialist LabMOS characterisation laboratory, Tutorials and Laboratory sessions6

Assessment

Assessment methods

The lab report will not be marked if the student has not attended the MOS characterisation lab
sessions.

MethodHoursPercentage contribution
Advanced quantum device review (20%) and laboratory report (30%)-50%
Exam2 hours50%

Referral Method: By examination

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