The University of Southampton

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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ELEC6206 Nanofabrication and Microscopy

Module Overview

This course consists of two parts: 'Nanofabrication' deals with the fabrication of structures that are smaller than 100 nm, while 'Microscopy' concerns the visualization of such small features. Advanced optical lithography concepts are illustrated by a computer simulation lab with the industry-standard software "GenISys LAB".

We start with a general overview of nanotechnology, explaining why the properties of materials are so different at the nanoscale compared to the microscale. The difference between top-down and bottom-up fabrication is explained and the ultimate industrial nanofabrication process (CMOS) is outlined, including the technological issues related to further scaling according to Moore's Law.

After introducing general microscopy concepts such as magnification, resolution, depth of field and contrast, it is discussed how image formation is achieved in optical microscopy. Many of the principles of optical microscopy also apply to the next topic. Optical lithography is crucial for top-down nanofabrication (and CMOS scaling) because it defines the smallest feature size that can be fabricated. The historical development of optical lithography is presented, up to the present state-of-the-art and looking forward to future developments of this patterning technique.

We then switch back to the microscopies: transmission electron microscopy, scanning electron microscopy and scanning helium ion microscopy all enable visualization of nanoscale structures but image formation, resolution, contrast mechanism and sample preparation are quite different. The images of MOSFET cross-sections will be explained. These particle beam techniques are also used in fabrication: e-beam writing is a serial lithography that enables ~10 nm patterns, while focused ion beam milling has numerous applications in nanofabrication.

The microscopy characterisation part concludes with the scanning probe microscopies, scanning tunneling microscopy and atomic force microscopy, which have driven the development of nanotechnology and are perhaps best known for the stunning 2.5D images of carbon nanotubes. Once again, the technique can also be applied to nanofabrication, for example as dip-pen nanolithography, which enables the positioning of (catalyst) material with nanometer resolution.

We finish the nanofabrication component with a brief description of bottom-up processes such as the chemical synthesis of carbon nanotubes, silicon nanowires and gold nanoparticles. This is put in the context of fabricating nanoelectronic devices by a mix of top-down and bottom-up fabrication processes. For example, carbon nanotubes can be grown inbetween micro-electrodes by patterning these with a catalyst material. Similar examples from the recent literature will be highlighted.

The computer lab sessions involve simulations of photoresist exposure for different optical lithography techniques and explores various resolution enhancement methods that enable nanometer scale patterning in general and advanced CMOS scaling in particular. As part of the lab you will design your own photomask. The GenISys LAB lithography simulation software is used in commercial nanofabrication facilities and is only available for this module because of a special agreement with the company.

Please note that ELEC6206 Nanofabrication and Microscopy (see the Notes directory for info slides) does not deal with fabrication techniques that are essentially the same as for microfabrication. Etching, deposition and process flow are explained in detail in ELEC6201 Microfabrication, and this module is a prerequisite for ELEC6206 Nanofabrication and Microscopy.

 

Aims & Objectives

Aims

Knowledge and Understanding

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

  • A range of nanoscale fabrication and characterisation technologies
  • Lithography and microscopy resolution limits

Subject Specific Intellectual

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

  • Appreciate the difference between micro- and nano-fabrication in the context of CMOS scaling
  • Explain image formation in a number of high-resolution microscopies

Subject Specific Practical

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

  • Use simulations to evaluate critical parameters for lithographic resolution
  • Demonstrate familiarity with industry-standard mask design and lithography simulation software

Disciplinary Specific

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

  • Identify major issues and developments at the frontiers of nano-engineering

Syllabus

Nanofabrication

  • CMOS scaling
  • optical nanolithographies
  • charged beam nanolithographies
  • directed self-assembly
  • atomic layer deposition
  • nanospheres, nanotubes and nanowires

Nanocharacterisation

  • general microscopy concepts
  • optical microscopy
  • transmission electron microscopy (TEM)
  • scanning electron microscopy (SEM)
  • scanning tunneling microscopy (STM)
  • atomic force microscopy (AFM)

 Lithography simulation lab

  • proximity optical lithography
  • projection optical lithography
  • off-axis illumination
  • mask design
  • optical proximity correction
  • resist contrast

Learning & Teaching

Learning & teaching methods

The module uses lectures to present the material, computer lab sessions to illustrate some key concepts, and tutorials to prepare for the lab sessions and to give guidance on the coursework and examination assessments.

ActivityDescriptionHours
LectureLectures on module topics.26
Computer LabLithography simulation exercise: three to four sessions of three hours each.11
TutorialTwo tutorials with example question to help prepare for the examination and three tutorials to support the computer lab and to help prepare for the coursework.5

Assessment

Assessment methods

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

MethodHoursPercentage contribution
Report about lithography simulation lab-30%
Exam2 hours70%

Referral Method: By examination

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COMP3212 Computational Biology

Module Overview

Modern biology poses many challenging problems for the computer scientists. Rapid growth in instrumentation, and our ability to archive and distribute vast amounts of data, has significantly changed the way we attempt to understand cellular function, and the way we seek to treat complex diseases. Data from biology comes in various forms: nucleotide and amino-acid sequences, macromolecular structures, measurements from high-throughput experiments and curated literature in the form of publications and functional annotations. It is nowadays widely acknowledged that computational modelling will play a key role in extracting useful information from vast amounts of such diverse types of data. The computational challenges faced by the human genome project and Alan Turing’s contribution to morphogenesis are classic examples of such roles.

The aim of this module is to develop an understanding of some of the computational challenges that form the basis of research in modern biology, skills associated with which are seen as important in biomedical informatics and pharmaceutical industries. You will get hands-on experience in formulating computational problems and analysing large and complex datasets to make model-based predictions about the underlying biological problems. 

Aims & Objectives

Aims

Knowledge and Understanding

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

  • Have a clear understanding of how advanced data analysis and computational models are applied to analysing biological data.

Subject Specific Intellectual

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

  • Fundamental assumptions that drive the use of computational techniques to understand biological data.

Transferable and Generic

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

  • Data analysis, Pattern recognition

Syllabus

  • Introduction
  • Concepts in molecular biology
  • Computational challenges and tools in biology
  • Biological Sequence Analysis
  • Dynamic programming and sequence alignment
  • Probabilistic models of alignment, hidden Markov models
  • Stochastic context free grammars and RNA structure modelling
  • Analysis of high throughput data
  • Transcriptomic, Proteomic and Metabolomic data
  • Modelling by clustering and classification; inferring regulation
  • Systems Biology
  • Autoregulation
  • Morphogen diffusion

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecturemain delivery of taught material20
Computer LabThe module includes substantial hands-on work under supervision in a computer lab environment. Hence the optimum group size is 25.20
TutorialSmall group tutorials, which shall be optional and aimed at students who find the material difficult and need help in mathematics / programming etc.3

Assessment

Assessment methods

best two of in-class tests will be used (2x15%=30%)

MethodHoursPercentage contribution
short assignments (maximum two weeks turn around) -30%
major assignment (to be done over a four-week period)-40%
Three in-class quizzes, of which your best two will be used-30%

Referral Method: By set coursework assignment(s)

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ELEC6205 Bionanotechnology

Module Overview

This module will provide an introduction to the theory and practice of bio-nanotechnology, and introduce students to working in a cleanroom and a wet laboratory.

ELEC6205 includes a bionanotechnology experiment involving state-of-the-art equipment that is normally only used by researchers. The experiment starts with fabrication and characterisation of a microstructured master mold, and continues with casting of an elastomeric stamp and printing microscale patterns of biological molecules. This will take place partly in the Mountbatten clean room and partly in the bio-ECS lab (Centre for Hybrid Biodevices) in the Life Sciences building.

This module is a prerequisite for ELEC6210 Biosensors, except for students that already took ELEC3223 in Part 3. ELEC6205 cannot be taken by students who took ELEC3223 in Part 3.

Aims & Objectives

Aims

Knowledge and Understanding

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

  • Biomolecules and biomolecular interactions
  • The basic physics of the behaviour of molecules and molecular interactions

Subject Specific Intellectual

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

  • Explain biophysical mechanisms relevant in the context of bionanotechnology
  • Evaluate the experimental techniques used to characterise bio-nano systems

Transferable and Generic

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

  • Critically evaluate experimental procedures and experimental data
  • Write concise engineering reports

Subject Specific Practical

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

  • Perform some basic wet laboratory procedures
  • Perform soft lithography procedures involving biomolecules

Syllabus

Fundamentals:

  • Molecules, proteins, DNA and cells
  • DNA for coding and information storage
  • Behaviour of molecules in solution
  • Kinetics and reaction rates
  • Dielectrics and optics
  • Electrokinetics and particle/molecular interaction forces

 

Applications:

  • Scanning probe microscopy – measuring molecular interactions and forces
  • Single molecule detection techniques
  • Interfacing bio-systems with electronics
  • Biomimetics and biosensing
  • Molecular motors
  • Patterning single molecules
  • Nano-structured surfaces – applications in cell engineering
  • DNA machines; computing with molecules and DNA

 

Practical work:

  • Fabrication of patterned wafer ('master') in clean room
  • Surface modification procedures and evaluations
  • Culture cells on patterned surfaces.

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
LectureLectures on general background material.22
TutorialTwo tutorial sessions to support the laboratory work plus exam revision tutorials.6
Specialist LabBioNanotechnology lab - three 4 hour experimental sessions on micro contact printing.12

Assessment

Assessment methods

The lab report (coursework 1) will not be marked if the student has not attended the laboratory sessions.

MethodHoursPercentage contribution
Lab report-30%
Exam2 hours70%

Referral Method: By examination

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ELEC6204 Microfluidics and Lab-on-a-Chip

Module Overview

This module teaches the basics of the behaviour of fluids in microsystems, specifically focussing on the interaction of fundamental physical mechanisms and the design of microfluidic devices.  It also reviews and analyses the state of the art in applied microfluidics such as Laboratory-on-a-Chip technology

Aims & Objectives

Aims

Knowledge and Understanding

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

  • The theory and physical principles of fluid mechanics on the microscale
  • Operating principles and physical mechanisms unique to microfluidics
  • fabrication methods used in the production of lab-on-a-chip systems
  • the use of lab on a chip systems for different analytical purposes

Subject Specific Intellectual

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

  • Propose design strategies for microfluidics systems based on fluid mechanical principles
  • Demonstrate an understanding of scaling of electrical, thermal, and fundamental dynamics in microsystems and the effects on system design

Subject Specific Practical

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

  • Mathematically model microfluidic devices and systems

Syllabus

  • Principles of miniaturisation, scaling laws
  • Theory of Microfluidics and nanofluidics 
  • The diffusion of molecules and microscale mixing
  • Technological production of components: mixers and pumps
  • Fundamentals of electrical/electrochemical effects in microfluidics
  • DC fields in microsystems: electroosmosis and electrophoresis
  • AC fields in microsystems: spectroscopy and dielectrophoresis
  • Soft lithography, novel methods and fabrication of Lab on a Chip devices. 
  • Detection methods – electrical, optical, thermal
  • Bio-analytical applications 
  • Magnetic particle biotechnology
  • Surfaces, forces, electrowetting: Digital Microfluidics
  • Diagnostic systems – medical systems
  • Separation, purification, concentration technologies
  • Simulation and design of mixing devices for chemical reactors

Learning & Teaching

Learning & teaching methods

ActivityDescriptionHours
Lecture2-hour lectures focussing on fundamentals and translation to application22
TutorialTutorial discussion of problems, solutions and exam revision4
Specialist LabSimulation labs9
TutorialFeedback and discussion sessions on coursework activity2

Assessment

Assessment methods

MethodHoursPercentage contribution
Report on simulation laboratory and technology review-30%
Exam2 hours70%

Referral Method: By examination, with the original coursework mark being carried forward

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