heriot-watt university industrial doctorate centre university . university of glasgow . university...

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Industrial Doctorate Centre Optics and Photonics Technologies

Engineering Doctorate Programme Course Descriptors and Guidelines

a partnership between

Heriot-Watt University University of Glasgow

University of St Andrews University of Strathclyde

in association with

Scottish Universities Physics Alliance (SUPA)

An EPSRC and Industry sponsored doctorate programme

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Preface This EngD programme guideline should be read in conjunction with the ‘EngD - Guidelines for Research Engineers/Supervisors’ handbooks. This document contains the programme structure detailing when each course is currently scheduled to run (by semester) and also provides the course content. Taught Course Overview The Engineering Doctorate degree is studied over 4 years, with 25% of study time spent on taught coursework and 75% based on project work. Students, also known as Research Engineers (REs), may study taught components throughout the four years, however, the majority of the courses will be studied during the first 3 years of the programme. Some REs will remain in employment with their sponsoring company throughout the four years and may study all taught courses by distance learning. Research Engineers must complete 180 credits of taught courses. There are a number of mandatory courses that all REs must complete, with the remaining credits chosen from the extensive list of optional courses. The EngD Thesis counts as 5400 effort hours or 540 credits. There are four mandatory courses which are listed below. Other than the Literature Review, these are business (MBA) courses offered by the Edinburgh Business School (EBS). These are distance learning courses which the RE studies mostly off-campus, with a 4-day study period on-campus which the REs are recommended to take and an optional 2-day revision period on-campus prior to the examination Mandatory courses

• Literature Review (B21LR) (DL): Usually to be completed within the first six months of study. • Accountancy (H11AC) (DL & CB) • Marketing (H11MK) (DL & CB) • Project Management (H11PM) (DL & CB): It is recommended that REs take this course in their first year of

study. REs pursing a project centrally aligned in optics and photonics will normally attend at St Andrews University for the first semester of their studies taking the following courses:

• Displays and Nonlinear Optics (B21DN) • Lasers (B21LP) • Photonics Applications (B21SP) • Photonics Experimental Laboratory (B21SL)

Options for a non St Andrews route are available for the following REs:

a. REs who already have a Masters degree in Photonics b. REs pursuing a project in the interface with another discipline such as optics and imaging/signal processing c. REs who are Company employees prior to starting on the EngD may take alternative courses by distance

learning study REs can elect to take any of the optional courses and will be guided by their Academic Supervisor as to which courses would be most appropriate. The Industrial Supervisor will also be involved in deciding which courses will be relevant to the research project and for the individual RE. The course choices must be approved by the Course Director or Designate. REs are restricted to taking no more than 5 Edinburgh Business School courses (including the 3 mandatory courses: Accountancy, Marketing and Project Management). A number of the courses are available for distance-learning, including all business courses and are highlighted with (DL). Those courses that are campus-based are highlighted as (CB) – some courses can be taken by either route. If an RE has completed a relevant MSc programme or a course, they can request an exemption of up to 75 credits for the accredited prior learning (APL) under the Heriot-Watt Regulation 46. Applications for APL must be approved by Heriot-Watt Universities Postgraduate Studies Committee. Contact [email protected] for further information and an application form. The timetabling of the technical courses is determined by MSc course timetables and may be subject to change throughout the academic year, the EngD office will notify students of any changes as soon as information becomes available to the office.

mailto:[email protected]

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List of Courses

Semester 1 Semester 2 Summer Term

B31XM(15) Advanced Image Analysis H11AC(20) Accountancy (CB & DL) Mandatory

B21EX(15) Experimental Laboratories (CB)

F21MA(15) 3D Modelling and Animation (CB) B21LR(15) Literature Review (DL) Mandatory H11FI(20) Finance (DL)

B51EM(15) Advanced Mechanics of Materials 1 (CB) H11MK(20)

Marketing (CB & DL) Mandatory

H11HF(20) History of Financial Markets (DL)

B31SF(15) Communications and Networks (CB) H11PM(20) Project Management (CB & DL)

Mandatory H11MS(20) Making Strategies Work (DL)

F29GR(15) Computer Graphics (CB) F21AD(15) Advanced Interaction Design (CB) H11MQ(20) Mergers and Acquisitions (DL)

F21DL(15) Data Mining and Machine Learning (CB) B51EN(15) Advanced Mechanics of

Materials 2 (CB) H11SP(20) Strategic Planning (DL)

B31DF(15) Digital Design (CB) F11BI(15) Bayesian Inference (CB) H11RK(20) Strategic Risk Management (DL)

B31SC(15) Digital Signal Processing (CB) H11CS(20) Competitive Strategy (DL)

B21DN(10) Displays and Nonlinear Optics (CB - St Andrews) F21EC(15) E-Commerce Technology (CB)

H11EC(20) Economics (DL) B51DF(15) Engineering Manufacture (CB)

B51DE(15) Engineering Design (CB) B21FC(15) Fibre Optic Comms (CB & DL)

B39AX(15) Engineering Mathematics and Statistics (CB) B31SE(15) Image Processing (CB & DL)

B21LD(20) B21LP(20)

Lasers (DL) Lasers (CB -St Andrews)

B21IL(10) Industrial Applications of Lasers (DL)

B21LN (15) Laser Physics and Applications (CB) B21FM(15) Modern Optics (CB & DL)

B21MG(5) Materials Growth & Fabrication (DL) H11NG(20) Negotiation (DL)

B21MP(15) Mini Project (DL) B21NS(15) Nanophysics (CB)

B31XN(15) Multi Sensor Fusion and Tracking (CB) B21NL(15) Nanolaboratory (CB)

B21NT(15) Nanophotonics (CB & DL) B21OI(5) Optical Metrology (DL)

B20NQ(15) Nanoscience primer (CB) B31SI(15) Principles of Mobile Communications (CB)

H11OB(20) Organisational Behaviour (DL) B31SH(15) RF Mobile Communications Systems (CB)

B81PI(15) Professional and Industrial Studies(CB) B21OD(15) Semiconductor Optoelectronics

Devices(CB)

B21SP(15) Photonics Applications (CB- St Andrews)

B51GT(15) Specialist Engineering Technology 2 (CB)

B21SL(15) Photonics Experimental Laboratory (CB-St Andrews) B21UF(5) Ultrafast Photonics (DL)

B21LC(5) Polymers and Liquid Crystals (DL) Runs on alternate years, next available in 2012/13

F21VE(15) Virtual Environments (CB)

B31XO(15) Real Time Imaging and Control (CB)

B31XP(10) Robotics Project (CB) Limited number of places on course

B21SD(10) Semiconductors and Devices (DL) Runs on alternate years, next available in 2013/14

B31PB(15) Software Engineering (CB)

B51GS (15) Specialist Engineering Technology 1 (CB)

Key to information in table

Course Code(number of credits) Course Name (CB-campus based, DL- distance learning)

Business Courses Photonics courses Signal& Image Processing Engineering Technology

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Key Teaching Dates for 2012-13 Heriot-Watt University Taught Academic Year Dates 2012-13

Semester 1 teaching 10 September 2012 – 30 November 2012

Semester 1 exams 3 December 2012 – 14 December 2012

Semester 1 break 17 December 2012 – 4 January 2013

Semester 2 teaching 7 January 2013 – 28 March 2013

Semester 2 break 1 April 2013 – 20 April 2013

Semester 2 exams 22 April 2013 – 17 May 2013

St Andrews University Semester 1-Taught Academic Year Dates 2012-13

Semester 1 teaching 10 September 2012 – 30 November 2012

Semester 1 exams 10 December 2012 – 20 December 2012

Edinburgh Business School (EBS) EBS operates a four term academic year. Exams take place in the last week of the term in which courses are taught.

Term 1 October 2012- December 2012

Term 2 January 2013- March 2013

Term 3 April 2013- June 2013

Term 4 June 2013- August 2013

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Mandatory Courses

Mandatory Courses

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Accountancy Course Name Accounting

Course Code H11AC

Department Edinburgh Business School Stage 11

Credit 20

Course Level Postgraduate

Author(s)

Prof Nial Lothian and Prof John Small

Format

Combined printed text with online course

Overview

What do profit and loss accounts and balance sheets tell you? They are valuable sources of insight into the financial strength of competitors but you have to know what you are looking for; in fact, many managers are unaware of the financial position of their own organisations. How much should you charge for your products? To decide this you have to know how much they cost and this is notoriously difficult to determine. An understanding of financial and management accounting techniques, and their strengths and weaknesses, is essential for effective decision making.

Topics Covered

1. An Introduction to Accounting and the Accounting Equation 2. The Profit and Loss Account 3. The Balance Sheet 4. The Cash Flow Statement 5. The Framework for Financial Reporting 6. The Framework for Financial Reporting (cont) 7. Interpretation of Financial Statements 8. Emerging Issues and Managerial Options in Financial Reporting 9. An Introduction to Cost and Management Accounting 10. Cost Characteristics and Behaviour 11. Allocating Costs to Jobs and Processes 12. Costs for Decision making 13. Budgeting 14. Standard Costing 15. Accounting for Divisions 16. Investment Decisions 17. New Developments in Management Accounting

Mandatory Courses

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EngD Research Thesis Course Name Doctorate of Engineering Research Thesis

Course Code B39ED

Department School of Engineering & Physical Sciences (Mechanical Engineering) Credit 540


Extract from Heriot-Watt University Regulation 37, Degree of Doctor of Engineering Thesis/Portfolio 12.1 The thesis or portfolio shall comply with the following conditions: 12.1.1 The thesis or portfolio shall form a contribution to the knowledge of the subject and shall afford evidence of originality, shown either by the discovery of new facts, engineering development or by the exercise of independent critical analysis, bearing in mind that the EngD involves an emphasis on innovation, whereas a PhD in science and engineering emphasises discovery. Each thesis or portfolio must demonstrate fulfilment of one or more of the following categories: (a) carrying out original empirical work: this may include scientific measurement or engineering development as opposed to pure research. (b) developing and explaining a new synthesis of empirical observations and/or theoretical arguments, where the empirical and theoretical parts may be derived in whole or in part from published work by others or from work carried out by others under the directions of the candidate. (c) developing and explaining a new theoretical framework, supported by new empirical results and/or empirical results derived from published literature and/or results obtained by others working under the directions of the candidate. 12.1.2 For a candidate permitted by the Director of the Centre to submit a portfolio, the portfolio shall include the following: (a) an executive summary in the standard thesis format, not normally exceeding 20,000 words. This summary shall include the main results and an explanation of their significance, and describe the contribution to knowledge and innovation demonstrated by the candidate. It shall also set the work in context in relation to other work in the field, and it shall clearly show, either directly or indirectly, how the projects that form the body of the work are related through demonstrable relevance to the theme of the Centre. (b) the portfolio itself. This shall comprise a set of documents, each of which is a self-contained report of one of the projects that comprised the programme of research. Each of these documents must meet the criteria of 12.1.1. Interim reports prepared by the candidate are eligible for inclusion, but must meet the same criteria. 12.1.3 The greater portion of the work submitted in the thesis or portfolio shall have been done subsequent to the registration of the candidate for the Degree of Doctor of Engineering(EngD). 12.1.4 The thesis or portfolio shall be written in English. The literary presentation shall be satisfactory and shall be suitable for publication either as submitted or in an amended form. 12.1.5 The thesis or portfolio shall be the candidate’s own account of his or her research and shall be accompanied by a declaration to this effect signed by the candidate. It may describe work done in conjunction with the supervisors or other persons provided that the candidate clearly states his or her own personal share in the investigation, and that his or her statement is certified by both supervisors. 12.1.6 The thesis or portfolio shall not normally exceed 80,000 words and shall not normally exceed 400 pages in length including Appendices. In exceptional circumstances and provided that permission is sought at a sufficiently early stage, the Senate may permit a candidate to exceed the stated maximum.

12.2 A candidate shall normally be required to submit two bound copies and one electronic copy of the thesis or portfolio which shall become the property of the appropriate Partner University. The thesis or portfolio shall conform in layout, binding and presentation to the requirements prescribed by the Senate of the appropriate University. The thesis or portfolio shall contain an abstract preferably not exceeding 200 words. One additional copy of the abstract on the appropriate form shall be submitted for library purposes.

12.3 Before a candidate submits a thesis or portfolio, his or her supervisor shall seek, using the appropriate

form, the approval of the Postgraduate Studies Committee for the thesis or portfolio title. [Forms are obtainable from the Academic Registry] 12.4 The Degree of Doctor of Engineering (EngD) shall not be awarded in respect of a thesis, portfolio or published

work already submitted to this or any other University in support of an application for a degree.

Mandatory Courses

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Literature Review Course Code B21LR

Version 100

Department School of Engineering & Physical Sciences (Physics) Stage 11

Credit 15


Learning Outcomes - Subject Mastery

The primary purpose of the course is to provide the student with the background knowledge required to complete the extensive research project which makes up the bulk of the EngD qualification. The topic of the review is hence agreed by the industrial and academic supervisors. The student should develop the following understanding knowledge and skills " To understand the relevance of the research project to an industrial environment " Achieve a critical and detailed knowledge and understanding of the field " Some analysis of problems related to their chosen field

Learning Outcomes - Personal Abilities

To gain experience in the acquisition of information, and of preparing an orderly and professional report within a fixed time-scale. Feedback will be provided to the student.

Assessment Method - Additional Information

Coursework 100%

Course Topics

Write a literature survey as if it were the introductory chapter to a research dissertation and should be approximately 10,000 words in length. There should be some fairly general material that places the specific topic in perspective. This should be followed by sections on the underlying science and on the current literature/state-of-the-art. The industrial supervisors should be able to provide some background material to place the survey into the context of the company.

Learning Resources

To give background information essential for the student's project work To familiarise the student with the 'language' of the topic, the physics background, the relevance in a commercial context, and the state-of-art. To gain experience in the acquisition of information, and of preparing an orderly and professional report within a fixed time-scale. To provide a good foundation for the introductory / review chapter in the EngD thesis

Course Aim

To give background information essential for the student's project work To familiarise the student with the 'language' of the topic, the physics background, the relevance in a commercial context, and the state-of-art. To gain experience in the acquisition of information, and of preparing an orderly and professional report within a fixed time-scale. To provide a good foundation for the introductory / review chapter in the EngD thesis

Elective Course NOT available as an elective

Syllabus

Write a literature survey as if it were the introductory chapter to a research dissertation and should be approximately 10,000 words in length. There should be some fairly general material that places the specific topic in perspective. This should be followed by sections on the underlying science and on the current literature/state-of-the-art. The industrial supervisors should be able to provide some background material to place the survey into the context of the company.

Mandatory Courses

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Marketing Course Name Marketing

Course Code H11MK


Credit 20


Author(s)

The Late Prof Harper Boyd and Prof Orville Walker

Format


Overview

Why do consumers purchase one product rather than another? You have to confront the issue of why consumers would purchase your product rather than competitors'. Factors such as market positioning, branding, consumer loyalty and segmentation determine the success or failure of products in highly competitive markets. Further, it is extremely difficult to manage products successfully in competitive markets. The marketing process involves market analysis and the development and implementation of a marketing programme; To be a successful marketer you need to understand not only the factors which influence buying behaviour but be able to bring products to market in an effective manner.

Topics Covered

1. The Marketing Management Process 2. Corporate Strategies and Their Marketing Implications 3. Business Strategies and Their Marketing Implications 4. Environmental Analysis: Tools to Identify Attractive Markets 5. Industry Analysis and Competitive Advantage 6. Understanding Consumer Buying Behaviour 7. Understanding Organisational Markets and Buying Behaviour 8. Measuring Market Opportunities: Forecasting and Market Research 9. Market Segmentation and Target Marketing 10. Positioning 11. Product Decisions 12. Pricing Decisions 13. Distribution Channel Decisions 14. Integrated Promotion Decisions 15. Marketing Strategies for New Market Entries 16. Marketing Strategies for Growth Markets 17. Marketing Strategies for Mature and Declining Markets 18. Organising and Planning for Effective Implementation 19. Measuring and Delivering Marketing Performance

Mandatory Courses

10

Project Management Course Name Project Management Course Code H17PR


Credit 20


Author(s)

Prof Alex Roberts, Dr William Wallace

Format


Overview

This course became core on 30th June 2004 Any action undertaken in an organisation involves change and the process can be visualised as a project: there are time, cost and quality trade offs to be made and project management tools and techniques are essential in keeping change processes on track. The fact is that most managers are unaware that many of the dynamic processes at work in the organisation are actually projects and are therefore subject to many nasty surprises when things do not turn out as they expected; the application of rigorous project management techniques will not solve all problems but they do clarify the process of achieving what you set out to achieve.

Topics Covered

1. Introduction 2. Individuals and Team Issues 3. Project Risk Management 4. Project Management, Organisational Structures and Standards 5. Project Time Planning and Control 6. Project Cost Planning and Control 7. Project Quality Management 8. Case Study

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Optional Courses

Optional Courses

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3D Modelling and Animation Course Name 3D Modelling and Animation

Course Code F21MA

Version 100

Department School of Mathematical & Computer Sciences (Computer Science) Stage 11

Credit 15



" Critical understanding of the history of animation and types of animation " Critical understanding of the advantages and disadvantages of hand-construction, kinematics, and motion capture in animation " Detailed understanding of the principles of animations. " Ability to research and prototype simple animations " Basic understanding of the theory of 2D and 3D transformations, projection and viewing. " Detailed knowledge of 3D modelling and rendering techniques. " Ability to understand, design and implement 3D models from a 3D graphic package. " Practical skills in developing 3D content for different types of applications and uses.


" Ability to think and plan in three dimensions " Technical report writing and organisation " Team working skills " Representation of, planning for, and solution of problems


Coursework 100% Re-assessment: Coursework (individual project)

Course Topics

" 3D modelling " Basic models " Layering " Polygon reduction " Texturing " Animation " Overview of history and types of animation " Tools and working methods " 12 principles of classic animation " Computer-based animation (CGI) " Creating character - believability and naturalism " Procedural animation: inverse and forward kinematics " Speech and expressive behaviour " Motion capture " Behavioural animation " Emotion and story

Course Aim To introduce the basic concepts, techniques and skills of 3D modelling and animation

Optional Courses

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Advanced Image Analysis Course Name Advanced Image Analysis Course Code B31XM Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 15 Course Level Postgraduate


• Critical understanding of advanced image processing techniques. • Practical knowledge of advantages and limitations of techniques to accompany detailed

theoretical knowledge. • Knowledge of current research in image processing


• Ability to critically review, evaluate and implement a range of advanced techniques in

image processing. • Prepared to new trends in image analysis


Exam 2 hours 50% Coursework 50% Re-assessment: Exam: 2 hrs

Course Topics

• Statistical Image Processing o Markov random fields.

• Variational and Multiscale Image Processing o Gaussian smoothing. Linear diffusion, heat equation, and their corresponding

variational formulation. Numerical methods for solving linear diffusion problems. Linear scale space and multiscale image analysis. Variational approach to shape-from-shading.

o Perona-Malik diffusion, its extensions, and varitional formulation. Links with robust statistics and M-estimators. Total variation approach to image restoration.

o Curvature-driven curve evolutions. Level-set approach. Deformable contours. Applications to object tracking.

o Fourier transform (DFT, FFT) revisited. Waves and wavelets. Haar wavelet. Discrete wavelet transform. Two-dimensional wavelets. The Daubechies wavelets. Lifting schemes.

o Image compression using wavelets. Multiscale image analysis with wavelets. Denoising using wavelets.

Course Aim • To develop a knowledge of advanced and important image processing concepts • To develop a critical understanding of continuous and discrete approaches • To develop a critical understanding of some applications

Optional Courses

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Advanced Interaction Design Course Name Advanced Interaction Design

Course Code F21AD

Version 100


Credit 15



Students will develop skills in the following areas: " Review, critically analyse, evaluate, and synthesise of previous research projects in the field of interaction design " Identify and propose innovative solutions in response to analysis of users' requirements. " Make informed judgements about appropriate methodologies for developing and evaluating technologies suitable for user demographics and background experience.


Students will develop skills in the following areas: " Use discipline appropriate software for data analysis, prototyping and learning. " Present, analyse and interpret numerical and graphical data gathered as part of evaluation studies. " Communicate effectively to knowledgeable audiences by preparing formal and informal presentations and written reports. " Exercise autonomy and initiative by planning and managing their own work; develop strategies for independently solving problems and taking the initiative. " Take responsibility for their own and other's work by contributing effectively and conscientiously to the work of a group, actively maintaining good working relationships with group members, and leading the direction of the group where appropriate. " Reflect on roles and responsibilities by critically reflecting on their own and others' roles and responsibilities. " Deal with complex professional and ethical issues including working with human subjects and wider issues relating to technology in society



Course Topics

Current and emerging topics in Interaction Design including: user demographics, patterns in technology adoption, interaction design lifecycles, user interface design patterns, prototyping methods, a wide range of qualitative and quantitative data gathering and analysis techniques, accessibility, and a range of research case studies covering cutting edge issues in the field

Course Aim

The course aims to give students the opportunity to develop: " An extensive, detailed and critical knowledge of requirements gathering, design and evaluation techniques in interaction design. " An awareness of current research and emerging issues in the field of interaction design. " A range of specialised skills, and research methods involved in working with users.

Optional Courses

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Advanced Mechanics of Materials 1 Course Name Advanced Mechanics of Materials 1

Course Code B51EM

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering) Stage 11

Credit 15

Course Level Undergraduate


On completion of the course, learners will be able to: " design using plastics, taking into account their viscoelastic properties " understand and analyse the behaviour of prostheses in situ " apply a range of measurement and analytical techniques to biomechanical problems " read, understand and analyse critically research papers in bio-nano-mechanics " set up, calculate and interpret the results of an open-ended piece of mechanics analysis


On completion of the course, learners will have developed abilities: " in carrying out a sustained piece of computer analysis applied to an unseen complex problem " in understanding how to transfer a physical problem into mathematical form for analysis " in understanding the results of sophisticated analysis and interpreting them in terms of the original problem " in presenting analytical results in a way that can be readily understood by others " in working to a fixed deadline with a complex task involving a number of stages


Examination - 60%, Assignment - 40% Reassessment - Examination + remedial assignment

Course Topics

Viscoelasticity: The development and applications of constitutive models for Kelvin, Voigt and SLS models. Applications to engineering with polymers and biomaterials. Mechanical behaviour of biomaterials (prostheses and implants): Mechanics of prostheses and implants; Implant-tissue interfaces Analytical techniques for biomaterial mechanical characterisation: Overview of Biomechanical Measurement Techniques including force and torque measurement, motion analysis (length, angle, speed, acceleration) and imaging tools (Ultrasound Scan and MRI); Force and torque measurements and calculation. Micro- and Nanomechanics: Mechanical analyses of biomolecules and cells; Nano-biomechanics. Advanced FEA: Project in FEA for a biomechanics application, including formulation of problem and critical analysis of results.

Course Aim

To provide students with an opportunity to: " carry out advanced analyses of mechanics of materials problems " analyse mechanics of materials where time is a significant additional variable " use FEA in cases where the geometry and loading are complex and variable " engage with the findings of recent research in a mechanics of materials topic

Optional Courses

16

Advanced Mechanics of Materials 2 Course Name Advanced Mechanics of Materials 2

Course Code B51EN

Version 100


Credit 15



On completion of the course, learners will be able to: " analyse most problems in classical mechanics from first principles " carry out three dimensional mechanics analysis " apply the piezorestrictive and shape memory effects in design " carry out failure assessments for defect-free and defected structures " set up, calculate and interpret the results of open-ended pieces of mechanics analysis


On completion of the course, learners will have developed abilities: " in carrying out a sustained piece of analysis applied to an unseen complex problem " in understanding how to transfer a physical problem into mathematical form for analysis " in understanding the results of sophisticated analysis and interpreting them in terms of the original problem " in presenting analytical results in a way that can be readily understood by others " in working to a fixed deadline with a complex task involving a number of stages


Open book examination - 50%, Assignments - 50% Reassessment - Examination - 100%

Course Topics

Advanced classical mechanics of materials: States of stress and strain, plane stress, plane strain. Transformations of stress and strain in three dimensions. Compatibility and variation of stress and strain. Yield criteria. Application to cylinders, discs, spherical and toroidal shells. Advanced fracture and fatigue: The plane stress / plane strain transition and elastic-plastic fracture mechanics. Two-criteria analysis. Spectral fatigue analysis and fatigue limit design. Micromechanics: deflections of diaphragms and mechanics of thin films Functional materials: the shape memory piezorestrictive effects and their use in mechanical design.

Course Aim

To provide students with an opportunity to: " carry out advanced analyses of mechanics of materials problems " analyse mechanics problems with limited initial information " apply three dimensional geometry and vector algebra to stress and strain transformations " work with more than one failure criterion and design accordingly " engage with the research literature in advanced topics of mechanics

Optional Courses

17

Bayesian Inference & Computational Methods Course Name Bayesian Inference & Computational Methods Course Code F11BI Version 100 Department School of Mathematical & Computer Sciences Stage 11 Credit 15 Course Level Postgraduate Learning Outcomes - Subject Mastery



The course is assessed by a 2-hour exam in May (60%) and 2 practical assignments, worth 20% each, on simulation and MCMC respectively.

Course Topics

The course will review subjective and frequentist probability, the role of likelihood as a basis for inference, and give a comparative treatment of Bayesian and frequentist approaches. The key concepts in practical Bayesian statistics will be covered including: likelihood formulation; the incorporation of prior knowledge or ignorance in the prior; the interpretation of the posterior distribution as the totality of knowledge and its use in prediction. A range of stochastic simulation methods for investigating posterior distributions will be considered. Methods will include rejection sampling, and Markov chain methods such as the Metropolis-Hastings algorithm and the Gibbs sampler. The use of stochastic methods for inference for partially observed processes will be discussed and students will gain experience of implementing methods in computer laboratory sessions. The course will further consider the use of computational methods, especially simulation, in probability and statistics

Course Aim

This course aims to provide students with a knowledge of modern Bayesian Statistical inference, an understanding of the theory and application of stochastic simulation methods including MCMC, and experience of implementing the Bayesian approach in practical situations.

Optional Courses

18

Communications and Networks Course Name Communications and Networks

Course Code B31SF

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering) Stage 11

Credit 15



" To critically understand the key concepts that underpin digital communications. " To critically understand the protocols and services in communication networks at the physical layer, data link layer, MAC sublayer, network layer, and transport layer. " To have the ability to critically analyse and solve problems in communication networks.


" To be able to understand the language and specifications of communication/computer networks. " To be able to critically discuss technical issues associated with digital communications and networking technologies. " To be able to critically apply the theory to the analysis and design of communication network protocols


Examination 60% Coursework 40% Re-assessment, examination

Course Topics

OSI reference model, TCP/IP reference model, network hardware, protocols, layers, services; Physical layer (digital communication principles, bandwidth, sampling, Nyquist theory, Shannon channel capacity; transmission media; mobile communication systems) Data link layer (framing, error control, flow control); Medium access control sublayer (multiple access protocols); Network layer (routing algorithms, congestion control algorithms, IP); Transport layer (TCP and UDP); Application layer.

Course Aim

" To provide students with a core knowledge in digital communications. " To study in detail the OSI reference model and TCP/IP reference model for communication networks. " To study in detail communication protocols and services at various protocol layers for communication/computer networks.

Optional Courses

19

Competitive Strategy Course Name Competitive Strategy

Course Code H17CS

Version 100


Credit 20


Author

Prof Neil Kay

Format


Overview

This elective is about strategic choices. It looks at alternative directions (such as vertical moves, new markets and technologies, international expansion) and alternative means for pursuing these directions (such as internal expansion, acquisition, alliance). Competitive Strategy develops a set of analytical approaches and tools to help formulate and evaluate these strategies on a topic by topic basis. The objective of this elective is to provide a unified and integrated framework to assist in the process of strategy formulation.

Topics Covered

1. Analysis of the Environment 2. Strategies for Competitive Advantage 3. The Evolution of Competitive Advantage 4. Vertical Links and Moves 5. Horizontal Links and Moves 6. International Strategy 7. Making the Moves

Optional Courses

20

Computer Graphics Course Name Computer Graphics

Course Code F29GR

Version 100


Credit 15



" Critical understanding of the theory of 2D and 3D transformations, projection and viewing " Ability to find & combine relevant sources and synthesise designs " Detailed knowledge of the graphics pipeline " Detailed knowledge of shading and texture mapping algorithms " Broad knowledge of 3D modelling and rendering techniques " Ability to understand, design and implement scene graphs " Practical skills in graphics programming including scene graph programming and I/O processing


" Ability to think and plan critically in three dimensions " General critical analysis, evaluation and synthesis of ideas for the design of their project " Technical report writing and organisation " Team working skills (in pairs) " Representation of, planning for, and solution of problems " Ability to draw upon a range of sources when making decisions in their project work


Examination 2hr 65% Course work (joint project) 35% Re-assessment: Course work (individual project)

Course Topics

" Overview of Computer Graphics & practical introduction to graphics programming " Event driven I/O and callback programming & typical structure of an interactive, real-time computer graphics program " 2&3D transformations, homogeneous co-ordinates, post-multiplication " Modelling and instantiation " Hierarchical modelling and scene graphs " Scene graphs: creating, manipulating, creating a display list " Perspective & orthographic projection " Project specification " Shading models and programming " Texture mapping " Putting it all together: the graphics pipeline " Course summary and review

Course Aim To introduce fundamental Computer Graphics theory and programming.

Optional Courses

21

Data Mining and Machine Learning Course Name Data Mining and Machine Learning

Course Code F21DL

Version 100


Credit 15



" Extensive understanding of the data mining process. " Detailed understanding of the mathematical basis of machine learning. " Critical awareness of the appropriateness and performance of different techniques.


" Rational problem identification and definition. " Critical analysis and solution selection. " Thorough and robust preparation of testing strategies. " Reflection on system development and performance.


Coursework: 100% Re-assessment: coursework

Course Topics

Data Mining: Basic concepts, data warehousing, statistical data mining, clustering methods, soft computing methods. Machine Learning: Concept learning, decision tree learning, introductory artificial neural networks, Bayesian learning, instance-based learning, introductory evolutionary computing.

Course Aim

To introduce students to the fundamental concepts & techniques used in machine learning. To develop a critical awareness of the appropriateness of different methods. To provide familiarity with common applications such as data mining.

Optional Courses

22

Digital Design Course Name Digital Design

Course Code B31DF

Version 100


Credit 15



" A critical understanding of synchronous digital system design concepts using embedded state machine controllers. " Use structured design techniques to produce original designs based on problem specifications.. " Use a hardware description language (HDL) for digital design in a typical configurable logic design environment. ? To be able to analyse and evaluate an advanced asynchronous digital system design.


Industrial, Commercial & Professional Practice Autonomy, Accountability & Working with Others Communication, Numeracy & ICT " Use of tools such as a configurable logic design environment and a microarchitecture simulator. " Ability to direct & take responsibility for own work. " Undertake critical evaluations of various case study designs.



Course Topics

System-level digital design for embedded systems, hardware description languages (HDLs), synthesis with FPGAs, structural and behavioural models. Synchronous design using finite state machines (FSMs), Mealy and Moore machines, sequencer control and data flow structures, ASM charts, state diagrams, state assignment, register transfer language (RTL),mapping FSMs into configurable hardware. Combinational logic design revisited, sequential circuit synthesis, metastability and asynchronous inputs. Asynchronous design concepts. Identification and elimination of race hazards. Limitations of asynchronous operations and advantages of synchronous systems. Design of state machines in configurable logic hardware. Microprogrammed state machines, data and control functions, mapping algorithms into hardware, sequence generation, classical Mealy, Moore and assumed addressing implementations. Structure of programmable state machine sequencers, controller architectures, pipelined data systems and controllers, subroutine facilities, ROM locations and calling addresses, simple instruction set architectures (ISAs), count strings and their optimisation, self loops and clock inhibit conditions, timeouts and multiple period states. Bit slicing from an historical perspective. Case studies.

Course Aim

" To provide students with the knowledgebase & develop skills to tackle significant digital design tasks in engineering systems ? To enable students to apply synchronous design techniques to the design of embedded systems. ? To enable students to appreciate the advantages of synchronous design concepts through an understanding of asynchronous design. " To enable students to apply critical analysis, evaluation and synthesis to a range of digital design problems using digital design development tools.

Optional Courses

23

Digital Signal Processing Course Name Digital Signal Processing

Course Code B31SC

Version 100


Credit 15



" Develop a critical understanding of complex DSP concepts. " Use a range of specialised DSP techniques on DSP boards. " Demonstrate originality and critical analysis in specific DSP problems. " Use a significant range of advanced DSP techniques and practices.


" Use of DSP software development environment. " Ability to direct & take responsibility for own work. " Undertake critical evaluations of a wide range of experimental work


Coursework 40% Examination 60% Re-assessment, examination

Course Topics

Discrete-time signals: elements of sampling theory, Nyquist frequency and aliasing, decimation, rate conversion and oversampling. Linear time-invariant systems: Time-domain analysis of discrete signals and systems, AR, MA, ARMA models, Z-transform, region of convergence and properties, time and frequency responses. Fourier Transformations: Continuous Time Fourier Transform (CTFT) and its properties, sampling and the discrete transform for periodic signals, aliasing, line-spectra, symmetry, anti-alias filters; Discrete Time Fourier Transform (DTFT), Discrete Fourier Transform (DFT), Discrete Fourier Series (DFS), properties and applications; Fast Fourier Transform (FFT), decimation, twiddle functions and butterflies (DIF & DIT), hardware and software structures for FFT implementation, FFT processing rates; Fast convolution; Spectral resolution and sidelobes. Digital filters: FIR and IIR filters, window functions, realization of digital filters, adaptive filters. Random signals: random signals, probability density functions, auto- and cross-correlation functions for complex sequences, relation between correlation and convolution. Spectral analysis: power spectral density, periodogram, correlogram, signal and image compression.

Course Aim

" To provide students with the knowledge & skills to tackle significant signal processing tasks including their features, boundaries, terminology and conventions. " Use a range of specialised DSP skills and techniques, which are at the forefront of DSP practise " To enable students to apply critical analysis, evaluation and synthesis to a range of DSP problems. " To enable students to be apply a range of DSP techniques using DSP development tools.

Optional Courses

24

Displays and Nonlinear Optics Course Name Displays and Nonlinear Optics (St. Andrews) Course Code B21DN

Version 100

Department St Andrews University

Stage 11

Credit 10



Full details of this course are attached in the St Andrews course descriptor for course "Displays and Nonlinear Optics", code PH5182


Full details of this course are attached in the St Andrews course descriptor for course "Displays and Nonlinear Optics", code PH5182


Case study associated with the industrial lectures; continuous assessment 20% Examination 80% Reassessment: Examination 100%

Course Topics Full details of this course are attached in the St Andrews course descriptor for course "Displays and Nonlinear Optics", code PH5182

Learning Resources

1) Familiarity with the physics that is used LCD and polymer displays, and some knowledge of the current commercial status of these displays and the current research activities. Ability to solve problems in this area. 2) Familiarity with the physics of nonlinear optics and some knowledge of the current commercial status of this technology and the current research activities. Ability to solve problems in this area. 3) Familiarity with the scientific method, and its use in research and development environments.

Course Aim

1) Familiarity with the physics that is used LCD and polymer displays, and some knowledge of the current commercial status of these displays and the current research activities. Ability to solve problems in this area. 2) Familiarity with the physics of nonlinear optics and some knowledge of the current commercial status of this technology and the current research activities. Ability to solve problems in this area. 3) Familiarity with the scientific method, and its use in research and development environments.


Syllabus Full details of this course are attached in the St Andrews course descriptor for course "Displays and Nonlinear Optics", code PH5182

Optional Courses

25

E-Commerce Technology Course Name e-Commerce Technology

Course Code F21EC

Version 100


Credit 15



" Demonstrate extensive knowledge of various e-Business models. " Understand the significant issues in online marketing. " Demonstrate an awareness of current and emerging alternatives for online payment. " Critically evaluate the concepts important to online security. " Discuss the legal and ethical dimensions of e-Commerce and their implications. " Describe and critically review issues, technologies and concepts in the architecture of e-Commerce solutions. " Explain and critically appraise current approaches to Web site design. " Apply and critically discuss the various programming languages related to the Web. " Describe the evolving methodological issues pertaining to e-Commerce system development. " Good knowledge of Enterprise JavaBeans and capability to write applications with it.


" Critically evaluate the search for, and appraisal of, complex, ambiguous and unreliable resources. " Analyse, take responsibility for and reflect on personal and organisational practice. " Develop original and creative solutions to, and judgements on, open-ended problems



Course Topics

" Business Models - Storefronts and Malls, Auctions, Portal and Community Sites, Dynamic Pricing, Comparison Shopping, Demand Aggregation, Barter, The Virtual Organisation The Click-and-Mortar Model, Application Service Providers, Extranets, B2B Trading Hubs. " Marketing - The 4 Ps of Marketing, Email Marketing, Promotions, Banner Adverts, Public Relations, Trust, CRM, Indexes and Portals, Partnerships, Globalisation, Sticky Sites. " Payment - Off-line and Online Payment, The Online Credit/Debit Card Process, EDI and EFT, e-Wallets, e-cash, P2P Payments, e-Checks, Smart Cards, B2B transactions, e-Bills, e-Banking. " Security - Security per se, e-Security Issues, Encryption, Secret & Public Key Cryptography, Digital Envelopes and Signatures, Hash Functions, Timestamping, Digital Certificates and Certification Authorities, PKI, SSL, SET, Firewalls, Directory Access Control. " Law & Ethics - Levels of Service, Privacy, Discrimination, Advertising, Information, Limiting Liability, The Contract, Outsourcing, e-Ethics. " Architecture - Network Architectures, Web Site Meta-Architecture, The Web Server, The Proxy Server, TCP/IP, IP Addresses, DNS, Capacity Planning. " Design - Structuring the Site, Structuring the Page, Navigation, Error Messages, Trustworthiness, Accessibility, Validation and Testing. " Languages - CGI, Perl, PHP, ASP, ColdFusion, SSI, JavaScript, VBScript, Java Applets & Servlets, JDBC, Cookies, XML. " Methodologies - The System Development Life Cycle, Rapid Application Development, Alternative Methodologies. " Technology - Enterprise JavaBeans

Course Aim

To review the IT issues raised by electronic business and commerce; To survey the techniques and technologies available for designing and implementing e-business and e-commerce applications; To provide first hand experience of Web-based tools and services to help design e-commerce solutions.

Optional Courses

26

Economics Course Name Economics, H11EC

Credit 20


Author

Prof Keith Lumsden

Format


Overview

Very few managers have a grasp of economic principles and because of this it is often wrongly concluded that economics is irrelevant to running a business. In fact, economic factors affect businesses and decision making at three levels. At the macro level factors such as the business cycle, interest rates and exchange rates directly affect product demand and cost of production. At the market level the type of competition, ranging from monopoly to perfect competition, determines profitability and business strategy. At the company level efficiency principles, including marginal analysis, opportunity cost and profit maximisation, have a direct bearing on business success. So by ignoring economic principles you will be unable to figure out likely changes in market conditions, you will be unable to understand competitive forces and you will have little idea of how to allocate resources efficiently.

Topics Covered

1. Economic Concepts, Issues and Tools 2. An Overview of Economics 3. Demand 4. Supply 5. The Market 6. Economic Efficiency 7. Organisation of Industries 8. Public Goods and Externalities 9. Income Distribution 10. International Sector 11. Macroeconomics Overview 12. Potential Output 13. The Circular Flow of Income 14. A Simple Model of Income Determination 15. Expanded Model of Income Determination 16. Fiscal Policy 17. Money, The Central Bank and Monetary Policy 18. The Quantity Theory and the Keynesian Theory of Money 19. Integration of the Real and Monetary Sectors of the Economy 20. Inflation and Unemployment 21. The World Economy

Optional Courses

27

Engineering Design Course Name Engineering Design

Course Code B51DE

Version 100


Credit 15



" Demonstrate knowledge and understanding of mechanical product design through practical application to a design task.


" Develop and apply transferable skills through work in groups. " Develop and apply initiative, team building and planning skills. " Develop and apply problem solving and conceptual design skills through practical assessment. " Develop and apply peer assessment skills.


Continuous assessment - 100% Reassessment - Not permitted.

Course Topics

" Practical group-based design assessment to impart the subject mastery and personal abilities previously covered in Stages 1, 2 and 3. " Use of an industrial case study or guest speaker to illustrate and highlight the role good product design plays in contemporary organisations.

Course Aim " Practical experience of the process, practice and organisation of design with particular emphasis on methods, management and quality issues.

Optional Courses

28

Engineering Manufacture Course Name Engineering Manufacture Course Code B51DF

Version 100


Credit 15



" Advanced manufacturing systems applications and their role in the modern business and impact on upstream engineering processes. " The importance of quality within the modern manufacturing business, the impact on manufacturing and business performance. " A detailed understanding and knowledge of the product engineering process, its general sequence and the data created and used throughout. " Advanced technology applications and their role in the modern manufacturing system. " The role of rapid prototyping in the product development process, the various types and applications. " The importance of quality within the modern manufacturing business, the impact on manufacturing and business performance. " The application of these technologies and solutions to specific case studies highlighting actual manufacturing applications.


" Develop the capability to recognise and evaluate proposed technological solutions within both manufacturing systems and business contexts. " Develop practical skills in recognising, measuring, evaluating and solving manufacturing and other systems-type problems. " To have an awareness of the importance of new technology, people, culture and manufacturing systems on overall business performance and their impact on upstream engineering process such as design and process planning. " To develop the capability to generate a manufacturing strategy for a manufacturing business.


Examination - 80%, Coursework - 20% Reassessment - Not permitted.

Course Topics

" Computer aided production management including MRP, MRPII and ERP systems. " Case study awareness. " Industrial visit. " Case study assessment. " Rapid prototyping techniques and support technologies. " Robotics applications. " Quality and reliability. " Internet-based manufacturing and global manufacturing business. " Case study assessment.

Course Aim

To provide the student with a detailed understanding of the importance and integration of advanced manufacturing technology and manufacturing systems within the context of product engineering. On completion, the students should have acquired a detailed understanding of the product development process from initial conception through to product support as well as appreciate the impact of each stage of the process on the business and organisationally w.r.t. information dependence and manufacturing processes employed.

Optional Courses

29

Engineering Mathematics and Statistics Course Name Engineering Mathematics and Statistics Course Code B39AX Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 15 Course Level Postgraduate


Understanding, Knowledge and Cognitive Skills An understanding of vector calculus, integration techniques and fundamental theorems for electrical engineering. An understanding of probability and estimation theory Critical awareness of statistical modelling issues An introductory knowledge of statistical methods in solving engineering problems.


To significantly develop student's problem solving abilities and problem formalisation. To be able to understand mathematical expression of engineering concepts


2hr Examination :70% Coursework: 30%

Course Topics

Vector functions and their use in electrical engineering. Surface integrals and the Divergence. Gauss’ law and its geometrical meaning. Gauss' law for electric and magnetic fields. Line integrals and the Curl. Stokes’ theorem and its geometric meaning. Applications of Stokes’ theorem. The gradient and Laplacian. Their use in analysis of electric and magnetic fields. Green’s theorems. Review of discrete probability Theory: axioms of probability, conditional probability, Bayes' rule. Random variables, Gaussian and other probability density function, the central limit theorem. Ergodicity and stationarity in stochastic processes. Bayesian Inference: statistical decision theory, hypothesis testing, discriminant functions and decision boundaries, classification, signal detection in noise.

Course Aim

To give an introduction to vector calculus that enables students to compute line, surface and volume integrals and to apply the Gauss’, Stokes' and Green's theorems. To develop a critical understanding of discrete and continuous probability theory. To introduce statistical data analysis and its application in science and engineering.

Optional Courses

30

Fibre Optic Communications Course Name Fibre Optic Communications

Course Code B21FC

Department School of Engineering & Physical Sciences (Physics) Credit 15



On completion of this course, the learner will be able to: " Achieve a critical understanding of the key characteristics of fibre optic transmission " Demonstrate a detailed knowledge and understanding of the extensive advanced concepts and applications of optical fibre communications systems " Demonstrate a detailed knowledge and understanding of analogue and digital system design " Ability to understand transmitter and receivers in a systems context " Integrate previous knowledge from the physics course with the topics discussed in the course " Analyse advanced problems in fibre optic communications " Apply the theories of communication by optical fibre to problems or situations not previously encountered " Demonstrate a detailed knowledge and understanding of industry standard techniques and equipment " Appreciate design considerations in key fibre optic based systems " Be aware of issues regarding the deployment of fibre optic systems


Personal abilities are embedded in the course. The course provides the opportunity to : " Apply the advanced core knowledge expected of a professional physicist to gain professional level insights, " Communicate effectively with professional level colleagues " Interpret, use and evaluate critically a wide range of data to solve problems of both a familiar and unfamiliar nature " Manage time effectively, work to deadlines and prioritise workloads " Use a range of ICT skills with on-line materials and web links to support the learning process " Apply strategies for appropriate selection of relevant information from a wide source and large body of knowledge " Exercise significant initiative and independence in carrying out learning activities and researching information

Assessment Method - Additional Information Examination 100%

Course Topics

Fibre optic attenuation: modal effects; absorption; scattering Fibre optic dispersion Fibre optic refractive index profile Transmitters and receivers Digital system design Analogue systems

Learning Resources To impart a knowledge and understanding of fibre optics, its theory and application, within the context of communications systems.

Course Aim To impart a knowledge and understanding of fibre optics, its theory and application, within the context of communications systems.

Syllabus

Fibre optic attenuation: modal effects; absorption; scattering Fibre optic dispersion Fibre optic refractive index profile Transmitters and receivers Digital system design Analogue systems

Optional Courses

31

Finance Course Name Finance

Course Code H11FI Version 100


Credit 20


Author

Prof Kenneth Boudreaux

Format


Overview

Different investment projects generate different cash flows and different levels of risk. The problem is that choices have to be made among competing uses for funds because businesses typically face constraints on the availability of capital. Financial tools make it possible to reduce a bewildering array of cash flows spread over a variety of time periods to a single set of numbers: the net present values; these tools enable the efficiency principles of economics to be applied in a rigorous manner. Financial concepts also provide the link between company operations and capital markets: it is impossible to understand the behaviour of the stock market without a grasp of the principles of financial analysis.

Topics Covered

1. The Basic Ideas, Scope and Tools of Finance 2. Fundamentals of Company Investment Decisions 3. Earnings, Profit and Cash Flow 4. Company Investment Decisions Using the Weighted Average Cost of Capital 5. Estimating Cash Flows for Investment Projects 6. Applications of Company Investment Analysis 7. Risk and Company Investment Decisions 8. Company Dividend Policy 9. Company Capital Structure 10. Working Capital Management 11. International Financial Management 12. Options, Agency, Derivatives and Financial Engineering

Optional Courses

32

History of Financial Markets Course Name History of Financial Markets

Course Code H17HF

Version 100


Credit 20


Author(s)

Smithers, Wright, Pepper, Warburton, Goldberg, Brodie, Riley, Napier

Format


Overview

There are important lessons from history which are typically locked up in the heads of older practitioners in the field and which each succeeding generation appears to find it necessary to learn afresh. The intention of this course is to set out these important lessons and provide fund managers with an historical context within which current events can be interpreted. It is much more than a chronology of events and attempts to explain the mix of factors that make up the dynamics of financial markets in a historical context (valuations, regulation, taxes, development and role of institutions etc).

Topics Covered

1. Asset valuation in principle and practice 2. Monetary policy and asset values 3. Behavioural influences 4. Investing at different parts of the business cycle 5. Development of the fund management industry 6. Integrating the perspectives

Optional Courses

33

Image Processing Course Name Image Processing

Course Code B31SE

Version 100


Credit 15



" Critical understanding of an extensive range of image processing problems & potential solutions. " Practical knowledge of limitations of techniques to accompany detailed theoretical knowledge. " Skill in the use of specialist image processing tools in the implementation of techniques. " Knowledge of current research in image processing


" Ability to critically review, evaluate and implement a range of techniques in image processing. " Ability to communicate findings through demonstrations and presentations. " Ability to communicate effectively in a group based project and take responsibility for the outcome of individual work and work of the group.


Continuous Assessment 40% Examination 60% Re-assessment, examination

Course Topics

" Introduction to Digital Image Processing : Image Presentation, Human perception, Light & colour " Frequency Domain Analysis: Concepts of Frequency Domain Analysis, Fourier Analysis, Sampling, wavelets and multidimensional analysis " Image Formats and Compression: Computer applications and storage of images, image and video compression " Image Enhancement: Spatial and frequency domain: Basic Image Enhancement Techniques, Histogram equalisation and modification, filters and masks, frequency domain filters. " Image Modelling : For example texture models including statistical, Fractals, Markov Random Fields and Co-occurrence Matrix techniques. " Segmentation: Basic Thresholding; Point Based - Clustering; Markov Random Fields; Active Contours. " Classification: Supervised & Unsupervised. " Principal Component Analysis " Multiple View Analysis

Course Aim

" To provide a critical understanding of the principle theories and concepts of image analysis, modelling, enhancement and coding. " To apply these theories and concepts to a range of digital images including photographs " To provide a critical awareness of current issues in image processing. " To provide a critical awareness of a range of techniques and application of image processing.

Optional Courses

34

Industrial Application of Lasers Course Name Industrial Application of Lasers

Course Code B21IL

Credit 10

Department Physics

Stage 9


Course Topics

1. Introduction and survey of applications 2. Laser beam characterisation 3. Optics for laser beam transformation 4. Laser scanning systems 5. Thermal interaction of laser radiation with matter 6. Macro-processing applications of high power lasers 7. Laser micromachining

Course Aim

To give the students an overview of the use of lasers in industrial manufacturing processes, with particular emphasis on machining and scanning applications. To provide students with the mathematical background of how laser beams are characterised and of the optical systems used to transform laser beams

Optional Courses

35

Lasers (St Andrews) Course Name Laser Physics (St. Andrews) Course Code B21LP

Version 100


Stage 11

Credit 20



The details are attached in St Andrews course descriptor for course "Laser Physics", code PH5170


The details are attached in St Andrews course descriptor for course "Laser Physics", code PH5170


Case study associated with the industrial lectures; continuous assessment 20% Examination 80% Reassessment: Examination

Course Topics

Topics include a treatment of light-matter interaction, gain, absorption and refractive index, rate-equation theory of lasers, gain and its saturation, frequency selection and tuning in lasers, transient phenomena, resonator and beam optics, and the principles and techniques of ultrashort pulse generation and measurement.

Learning Resources This course presents a description of the main physical concepts upon which an understanding of laser materials, operations, and applications can be based.

Course Aim This course presents a description of the main physical concepts upon which an understanding of laser materials, operations, and applications can be based.


Syllabus

Topics include a treatment of light-matter interaction, gain, absorption and refractive index, rate-equation theory of lasers, gain and its saturation, frequency selection and tuning in lasers, transient phenomena, resonator and beam optics, and the principles and techniques of ultrashort pulse generation and measurement.

For distance learning REs, this course is completed off-campus. Additional details are available from Professor Ajoy Kar ([email protected]) regarding timings and requirements. See next page for details.

mailto:[email protected]

Optional Courses

36

Lasers (DL) Course Name Lasers

Course Code B21LD

Version 100


Credit 20



On completion of this course, the learner will be able to: " Achieve a critical knowledge and understanding of the advanced principals of laser operation " Demonstrate a detailed knowledge and understanding of advanced concepts and applications in laser physics " Integrate previous knowledge from the physics course with the topics discussed in the course " Analyse advanced problems in laser physics " Apply the theories of lasers to problems or situations not previously encountered



Assessment Method - Additional Information Coursework 100%

Course Topics

Light-Matter Interaction Lorentz theory of absorption & refraction. Semiclassical treatment of absorption and emission.. Susceptibilities. Semiconductor absorption. Einstein A & B coefficients. Gain, associated refraction. Homogeneous and inhomogeneous broadening. Laser Physics Laser principles. Rate-equation theory. Three-level and four-level systems. Population inversion, gain, saturation, output powers. Single-mode and multi-mode lasers. Temporal behaviour, relaxation oscillations, Q-switching, cavity-dumping, mode-locking. Laser amplifiers, continuous-wave, pulsed and regenerative amplification. Tunable lasers. Resonator and beam Optics Resonator theory, longitudinal & transverse modes, single-longitudinal-mode operation. Stable/unstable resonator, waveguide modes. Beam propagation, focusing, manipulation.

Learning Resources To provide advanced knowledge in lasers, building on previous courses EM and Laser Physics and Laser Device Engineering. This course is available in distance learning format only.

Course Aim To provide advanced knowledge in lasers, building on previous courses EM and Laser Physics and Laser Device Engineering. This course is available in distance learning format only.

Elective Course Available as an elective

Syllabus Light-Matter Interaction Lorentz theory of absorption & refraction. Semiclassical treatment of absorption and emission..

Optional Courses

37

Susceptibilities. Semiconductor absorption. Einstein A & B coefficients. Gain, associated refraction. Homogeneous and inhomogeneous broadening. Laser Physics Laser principles. Rate-equation theory. Three-level and four-level systems. Population inversion, gain, saturation, output powers. Single-mode and multi-mode lasers. Temporal behaviour, relaxation oscillations, Q-switching, cavity-dumping, mode-locking. Laser amplifiers, continuous-wave, pulsed and regenerative amplification. Tunable lasers. Resonator and beam Optics Resonator theory, longitudinal & transverse modes, single-longitudinal-mode operation. Stable/unstable resonator, waveguide modes. Beam propagation, focusing, manipulation.

Optional Courses

38

Laser Physics & Applications Course Name Laser Physics & Applications Course Code B21LN Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 15 Course Level Postgraduate


Understanding, Knowledge and Cognitive Skills On completion of this course, the learner will be able to: • Achieve a critical knowledge and understanding of the advanced principles of laser

operation, including at high power levels • Demonstrate a detailed knowledge and understanding of advanced concepts and

applications in laser physics • Achieve a critical knowledge of the operating characteristics and industrial applications

of state-of-the-art lasers • Demonstrate a detailed knowledge and understanding of design concepts and

applications in solid state and gas laser systems • Apply the theories of lasers to problems or situations not previously encountered • Analyse advanced problems in the physics of high-power lasers • Achieve a critical understanding of industry standard techniques and equipment


Personal abilities are embedded in the course. The course provides the opportunity to : • Apply the advanced core knowledge expected of a professional physicist to gain

professional level insights, • Communicate effectively with professional level colleagues • Interpret, use and evaluate critically a wide range of data to solve problems of both a

familiar and unfamiliar nature • Manage time effectively, work to deadlines and prioritise workloads • Use a range of ICT skills with on-line materials and web links to support the learning

process • Apply strategies for appropriate selection of relevant information from a wide source

and large body of knowledge • Exercise significant initiative and independence in carrying out learning activities and

researching information • Be aware of issues regarding the deployment of laser systems


3hr Examination :100%

Course Topics

Laser principles. Rate-equation theory; three-level and four-level systems. Population inversion, gain, saturation and output power Single-mode and multi-mode lasers. Temporal behaviour, relaxation oscillations, Q-switching, cavity-dumping, mode-locking. Laser amplifiers, continuous-wave, pulsed and regenerative amplification. Tunable lasers Introduction to high average power lasers True cw lasers, quasi cw lasers and pulsed lasers. Summary of characteristics of laser types Carbon dioxide lasers Solid-state lasers. Laser Applications Industrial Lasers; beam characterisation & beam delivery. Scanners and modulators. Thermal interaction of radiation with matter Laser-based materials processing UV- and ultra-short pulse lasers

Course Aim To provide advanced knowledge in lasers, to understand the design and operating characteristics of gas lasers and solid state lasers and to understand where and how these types of laser can be applied in practice.

Optional Courses

39

Making Strategies Work Course Name Making Strategies Work

Course Code H17MS

Version 100


Credit 20


Authors

Prof Alex Roberts and Dr William Wallace

Format

Combined printed text and Course website

Overview

Today, a key preoccupation of the CEOs of most organisations is how to make their intended strategies work in practice. There is no shortage of good strategic planning. However, the issues surrounding how to implement strategies are less well known. To make the planned strategy work a series of complex monitoring and control tools are required to keep the implementation of the strategy on course.

Topics Covered

1. common problems in implementing strategy 2. linking strategy to action 3. monitoring and control systems

Optional Courses

40

Materials Growth and Fabrication Course Name Materials Growth and Fabrication

Course Code B21MG

Version 100


Credit 5



On completion of this course, the learner will be able to: " Achieve a critical knowledge and understanding of materials growth and fabrication " Demonstrate a knowledge and understanding of fundamental concepts and of materials growth and fabrication. " Integrate previous knowledge from the physics course with the topics discussed in the course " Analyse problems in ultrafast photonics " Apply the understanding of materials growth to problems or situations not previously encountered




Course Topics

Semiconductor basics Doping Growth techniques Defects

Learning Resources To provide fundamental knowledge and understanding of semiconductor Materials Growth and Fabrication as is pertinent to optical semiconductors. This course is available in distance learning format only.

Course Aim To provide fundamental knowledge and understanding of semiconductor Materials Growth and Fabrication as is pertinent to optical semiconductors. This course is available in distance learning format only.


Syllabus

Semiconductor basics Doping Growth techniques Defects

Optional Courses

41

Mergers and Acquisitions Course Name Mergers and Acquisitions

Course Code H17MQ

Version 100


Credit 20


Authors

Prof Alex Roberts and Dr William Wallace

Format


Overview

It is well known that mergers and acquisitions rarely result in an effective outcome in terms of creating shareholder value. So why is it so difficult? There are three answers to this. First, organisations need to be clear about their strategic fit; very often organisations do not match in terms of their capabilities and market segments but do not appear to realise this. Second, the price paid is often too high in the sense that potential gains are included in the bid; this often happens in a competitive bidding situation and executives often do not understand when they should stop pushing the price up. Third, the change processes necessary to achieve successful integration are typically not identified up front, with the result that even if there is a good strategic fit and a sensible price has been paid the potential value creation is not realised. So it is necessary to get all three aspects right.

Topics Covered

1. Introduction 2. Strategic Focus 3. Why Mergers Fail 4. Valuation 5. Bid Tactics 6. Due Diligence 7. The Concept of Implementation 8. Project Management as a Tool for Managing the Implementation Process 9. Developing the Implementation Plan 10. Executing the Implementation Plan

Optional Courses

42

Mini Project Course Name Mini Project Course Code B21MP Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 15 Course Level Postgraduate


Understanding, Knowledge and Cognitive Skills • The student will develop research skills in accessing information resources and expertise • The student will develop skills in assembling, analyzing and presenting complex data of a

variety of sources and styles • The student will develop skills in multi-disciplinary interaction and professional

engagement across a range of business disciplines


• The student will develop knowledge of the physical, practical, electronic and human resources available to him that will underpin the execution of his project.

• The student will develop an understanding of the process by which research outputs are exploited by the company and of Knowledge Transfer between a Company and a University

• The student will develop a personal network Assessment Method - Additional Information

Coursework 100%

Course Topics

The student will conduct a project that will contain an appropriate combination of the following a. A simple research project underpinning a specific product, technology or

technique. b. An exploitation plan for exploitation of this product, technology or technique by

the company c. An assessment of risk and risk mitigation for execution of the exploitation plan d. A report describing work conducted. e. A presentation of the findings of the mini project. This could be to

i. company colleagues, ii. the university colleagues iii. fellow Research Engineers iv. Academic and Company Supervisors

f. The report must describe consultation with a spectrum of company colleagues pertinent to exploitation of the technology (for example, research and development, design engineering, costing and marketing) and an appropriate spectrum of researchers from the university. In most circumstances, at least five such personnel will be consulted.

o

Course Aim

• To develop research skills underpinning the main research EngD project • Promote integration of the Research Engineer with his immediate and extended

support network consisting of, the Academic supervisor, the Company Supervisor, University research group

• Promote integration of the Research Engineer within the company environment • Develop within the Research Engineer an understanding of the activities and culture

of the company

Optional Courses

43

Modern Optics Course Name Modern Optics

Course Code B21FM

Version 100


Credit 15



Demonstrate a systematic understanding of Geometrical Optics, Fourier Optics, and Modulators and show a critical awareness of current issues and applications of these subjects in optical and laser systems. Show a comprehensive understanding of the experimental and theoretical techniques relating to Geometrical Optics, Fourier Optics, and Modulators, and their application in scientific and industrial situations. Show a conceptual understanding appropriate for evaluating critically current research and methodologies in Geometrical Optics, Fourier Optics, and Modulators.


Solve complex problems in Geometrical Optics, Fourier Optics, and Modulators in which the student may not be presented with complete or unique data, and communicate and justify their conclusions effectively, in writing and verbally. Demonstrate self-direction and originality in tackling and solving problems in Geometrical Optics, Fourier Optics, and Modulators. Demonstrate personal responsibility for their learning in terms of how they organise and review their learning materials, and participate actively in classroom learning.


Examination 100% Reassessment: Examination 100%

Course Topics

The syllabus is equally split into 3 components: Geometrical Optics: Ray sketching, y-u trace, y-nu trace, cardinal points of lens, chromatic aberrations, third-order aberrations, analysis of optical systems, aberration correction techniques. Fourier Optics: Fourier Analysis, Convolution Theory, Fourier transforming in lens systems, Frequency analysis of imaging systems, Coherent and incoherent imaging, Spatial filtering and optical information processing. Modulators: Crystal optics, Electro-optic effect, Acousto-optic effect; application of these effects in optical modulators.

Learning Resources To build on an earlier knowledge of optics and instil a knowledge and understanding of the important concepts of Geometrical Optics, Fourier Optics, and Modulators, and their application in research and industrial contexts.

Course Aim To build on an earlier knowledge of optics and instil a knowledge and understanding of the important concepts of Geometrical Optics, Fourier Optics, and Modulators, and their application in research and industrial contexts.


Syllabus

The syllabus is equally split into 3 components: Geometrical Optics: Ray sketching, y-u trace, y-nu trace, cardinal points of lens, chromatic aberrations, third-order aberrations, analysis of optical systems, aberration correction techniques. Fourier Optics: Fourier Analysis, Convolution Theory, Fourier transforming in lens systems, Frequency analysis of imaging systems, Coherent and incoherent imaging, Spatial filtering and optical information processing. Modulators: Crystal optics, Electro-optic effect, Acousto-optic effect; application of these effects in optical modulators.

Optional Courses

44

Multi-sensor image fusion and tracking Course Name Multi-sensor image fusion and tracking Course Code B31XN Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 15 Course Level Postgraduate


Understanding, Knowledge and Cognitive Skills • A critical understanding of the mathematical background for sensor fusion. • Use a range of specialised image processing techniques. • Develop novel approaches in the application of tracking and vision • Use a significant range of state of the art signal and image processing techniques

and practices.


Industrial, Commercial & Professional Practice, Autonomy, Accountability & Working with Others Communication, Numeracy & ICT

• Ability to direct & take responsibility for own work. • Undertake critical evaluations of a wide range of experimental work



Course Topics

General tracking theory Fundamental concepts and algorithms for optimal filtering: Bayes filtering, the Kalman filter, the Unscented Kalman filter, the Gaussian sum filter. Sequential Monte Carlo methodology for Bayesian filtering: Monte Carlo sampling, Importance sampling, Bootstrap filter, SIR filter Multiple Object Filtering: the multiple object Bayes filter, joint target detection and tracking, the Gaussian mixture Probability Hypothesis Density (PHD) filter Tracking in images and analysis of activity Robust image feature detectors (SIFT, SURF, MSER, Scale-adapted Harris). Real-time Implementation: image patch tracking methods: mean-shift, feature tracking Tracking in 3-D via multi-camera network (2 and 3 synchronised) Target behaviour modelling, estimation and prediction via Hidden Markov Models. Advanced Topics Latest developments in fields of sensor fusion and image tracking.

Course Aim

• To enable students to understand advanced concepts in filtering theory • To provide students will a solid foundation in target tracking methods. • To design algorithms for multi-camera and multi-sensor fusion. • To develop practical implementations of image detectors and tracking concepts

applied to robotics and computer vision • To provide students with the knowledge & skills to tackle significant signal

processing tasks including their features, terminology and conventions. • Use a range of advanced signal processing tools • To enable students to apply critical analysis, evaluation and synthesis to a range

of computer vision and robotics problems. • To enable students to be apply a range of signal and image processing

techniques using MATLAB.

Optional Courses

45

Nanolaboratory Course Name Nanolaboratory

Course Code B21NL

Version 100


Credit 15



On completion of this course, the learner will be able to: " Apply experimental and/or computational techniques in Nanotechnology " Analyse, evaluate and interpret experimental/computational evidence relevant to contemporary Nanotechnology " Demonstrate an understanding of experimental/computational design and setup " Execute an open-ended practical project " Demonstrate a detailed background knowledge of a topic in contemporary Nanotechnology " Demonstrate a knowledge of the concepts and theory underpinning Nanotechnology " Apply specialist practical skills to Nanotechnology " Report experimental results accurately and interpret them effectively " Conduct a literature search, present a referenced literature survey, assessing reported work critically


Personal abilities are embedded in the course. The course provides the opportunity to : " Interpret, use and evaluate a wide range of data to solve problems of both a familiar and unfamiliar nature " Use a range of software to support and enhance work at an advanced level " Undertake critical evaluation of a wide range of data " Deal with complex issues and make informed judgements in situations of incomplete or inconsistent data " Apply strategies for appropriate selection of relevant information from disparate sources and a large body of knowledge " Exercise initiative and independence in carrying out research and learning activities " Display self-motivation in progressing the work " Bring own ideas to bear and discuss with colleagues

Assessment Method - Additional Information Continuous Assessment of Lab Reports 100%

Course Topics

Carry out advanced, open-ended practicals in Nanotechnology Write formal reports on each experiment/computation, including a background literature survey with references, the relevant theoretical basis, results and conclusions Engage in a high level scientific discussion with each practical supervisor The laboratory and computer experiments in nanotechnology will include (but are not limited to): Self-assembly processes Semiconductor nanostructures Carbon nanotubes Surface plasmons Atomic Force Microscopy Scanning Tunneling Microscopy Optical Microscopy Scanning Electron Beam Microscopy

Learning Resources To provide experience of experimental and computational nanoscience and nanotechnology

Course Aim To provide experience of experimental and computational nanoscience and nanotechnology


Syllabus Carry out advanced, open-ended practicals in Nanotechnology Write formal reports on each experiment/computation, including a background literature survey with references, the relevant theoretical basis, results and conclusions

Optional Courses

46

Engage in a high level scientific discussion with each practical supervisor The laboratory and computer experiments in nanotechnology will include (but are not limited to): Self-assembly processes Semiconductor nanostructures Carbon nanotubes Surface plasmons Atomic Force Microscopy Scanning Tunneling Microscopy Optical Microscopy Scanning Electron Beam Microscopy

Optional Courses

47

Nanophotonics Course Name Nanophotonics

Course Code B21NT




On completion of this course, the learner will be able to: " Achieve a critical knowledge and understanding of nano-scale photonic devices and nanophotonic metrology " Demonstrate a detailed knowledge and understanding of advanced concepts and applications in the nano-scale regime, e.g. optical tweezers, PBG, holey fibres " Demonstrate a detailed knowledge and understanding of semiconductor quantum devices " Integrate previous knowledge from the physics course with the topics discussed in the course " Analyse advanced problems in nanophotonics " Apply the theories of nano-scale photonic devices to problems or situations not previously encountered




Examination 100%

Course Topics

Photonic crystals and photonic crystal fibres Materials for nanophotonics: Polymers, semiconductor quantum dots, semiconductor nanocrystals Physics with single photons: Single photon sources Single photon detectors Quantum cryptography Optical tweezers Bio-photonics interface Confocal microscopy Fluorescence Lifetime Imaging Fluorescence Energy Transfer Multiphoton processes

Learning Resources To provide the students with a working knowledge of the principles and practices of modern nano-photonics

Course Aim To provide the students with a working knowledge of the principles and practices of modern nano-photonics

Syllabus

Photonic crystals and photonic crystal fibres; Materials for nanophotonics: Polymers, semiconductor quantum dots, semiconductor nanocrystals; Physics with single photons: Single photon sources; Single photon detectors; Quantum cryptography; Optical tweezers; Bio-photonics interface; Confocal microscopy; Fluorescence Lifetime Imaging Fluorescence Energy Transfer; Multiphoton processes

Optional Courses

48

Nanophysics Course Name Nanophysics

Course Code B21NS




On completion of this course, the learner will be able to: " Achieve a critical knowledge and understanding of nano-scale devices, their fabrication and characterisation " Demonstrate a detailed knowledge and understanding of advanced concepts and applications in the nano-scale regime " Demonstrate a detailed knowledge and understanding of semiconductor quantum devices " Integrate previous knowledge from the physics course with the topics discussed in the course " Analyse advanced problems in nanophysics " Apply the theories of nano-scale devices to problems or situations not previously encountered




Examination 100%

Course Topics

Quantum mechanical description of nanoscale phenomena Thermodynamics of very small systems Manipulation of Quantum states Semiconductor nanostructures: Heterostructures, quantum wells, wires and dots Single electron devices Current Transport in a quantum wire Carbon nanotubes Semiconducting and metallic states Current transport Magnetism on the nanoscale Characterisation of nanoscale materials and devices Optical characterisation Structural characterisation (AFM, STM)

Learning Resources To provide the students with a working knowledge of the principles and practices of nanophysics

Course Aim To provide the students with a working knowledge of the principles and practices of nanophysics

Syllabus

Quantum mechanical description of nanoscale phenomena; Thermodynamics of very small systems; Manipulation of Quantum states; Semiconductor nanostructures: Heterostructures, quantum wells, wires and dots; Single electron devices; Current Transport in a quantum wire; Carbon nanotubes; Semiconducting and metallic states; Current transport; Magnetism on the nanoscale; Characterisation of nanoscale materials and devices; Optical characterisation; Structural characterisation (AFM, STM)

Optional Courses

49

Nanoscience Primer Course Name Nanoscience Primer Course Code B20NQ

Version 100


Credit 15



On completion of this course, the learner will be able to: " Achieve a critical understanding of the theories, concepts and principles of physical models and processes in the nano-scale regime " Demonstrate a detailed knowledge and understanding of the course topics and the transition from micro-scale to nano-scale " Integrate previous knowledge from the physics course with the topics discussed in the course " Analyse advanced problems in nano-science in physics, chemistry and engineering " Apply the theory of the course topics to problems or situations not previously encountered




Examination 100%

Course Topics

The topics consider behaviour on the nano-scale but with emphasis on the transition from micro-to nano-regimes. " The nature and properties of atomic bonding in molecules and of energy bands on a nano-scale " The properties of matter (electrical, optical, thermal) when considered in the nano-scale regime " The properties of matter (stress, strain & elasticity) when considered in the nano-scale regime " Phase transitions " Quantum Mechanical effects " Nano-scale spectroscopic techniques " Tolerancing

Learning Resources

This course aims to instil a detailed knowledge and understanding of the behaviour of Physics, Chemistry and Engineering systems in the nano-scale regime and to impart many of the underpinning skills (in Physics, Chemistry and Engineering) needed to master advanced specialist topics later in the course.

Course Aim

This course aims to instil a detailed knowledge and understanding of the behaviour of Physics, Chemistry and Engineering systems in the nano-scale regime and to impart many of the underpinning skills (in Physics, Chemistry and Engineering) needed to master advanced specialist topics later in the course.


Syllabus

The topics consider behaviour on the nano-scale but with emphasis on the transition from micro-to nano-regimes. " The nature and properties of atomic bonding in molecules and of energy bands on a nano-scale " The properties of matter (electrical, optical, thermal) when considered in the nano-scale

Optional Courses

50

regime " The properties of matter (stress, strain & elasticity) when considered in the nano-scale regime " Phase transitions " Quantum Mechanical effects " Nano-scale spectroscopic techniques " Tolerancing

Optional Courses

51

Negotiation Course Name Negotiation

Course Code H17NG

Version 100


Credit 20


Author

Prof Gavin Kennedy

Format


Overview

Negotiation is one of several means available to managers to assist in the making of decisions. It is neither superior nor inferior to other forms of decision-making - it is appropriate in some circumstances but not in others. Deciding when it is appropriate to turn to negotiation, or away from it, is only part of the complexity of management. The course aims to provide a thorough grounding in the science and practice of negotiation. Various academic disciplines (economics, psychology, sociology, politics, anthropology and mathematics) have researched negotiation from their particular standpoints and much of this material forms the basis for the scientific analysis of negotiation.

Topics Covered

1. What is Negotiation? 2. Distributive Bargaining 3. Preparation for Negotiation 4. Debate in Negotiation 5. A Proposal is Not a Bargain 6. Bargaining for an Agreement 7. Styles of Negotiation 8. Rational Bargaining 9. Streetwise Manipulation 10. Personality and Power in Negotiation 11. Culture and Negotiation 12. Retrospection

Optional Courses

52

Optical Metrology Course Name Optical Metrology

Course Code B21OI Version 100


Credit 5



On completion of this course, the learner will be able to: " Achieve a critical knowledge and understanding of the advanced principals of Optical Metrology " Demonstrate a detailed knowledge and understanding of advanced concepts and applications in laser physics " Integrate previous knowledge from the physics course with the topics discussed in the course " Analyse advanced problems in laser physics " Apply the theories of lasers to problems or situations not previously encountered




Course Topics

" Introduction to optical metrology " Principles of laser interferometry " Non-ideal interferometers " Fringe counting interferometry " Laser stabilisation and comparison techniques " Diode lasers in metrology

Learning Resources To provide fundamental knowledge and understanding of optical metrology. This course is available in distance learning format only.

Course Aim To provide fundamental knowledge and understanding of optical metrology. This course is available in distance learning format only.


Syllabus

" Introduction to optical metrology " Principles of laser interferometry " Non-ideal interferometers " Fringe counting interferometry " Laser stabilisation and comparison techniques " Diode lasers in metrology

Optional Courses

53

Organisational Behaviour Course Name Organisational Behaviour Course Code H11OB

Version 100


Credit 20


Course Type A

Author

Prof Bob Dailey

Format


Overview

We all work in organisations and hence probably think we know a lot about them. But in fact most of us are unaware of the factors affecting the organisations we think we are familiar with. The effectiveness of an organisation is dependent on the motivation and behaviour of the workforce. But an organisation is a continually changing entity as it reacts to ongoing changes in the competitive environment. To capitalise on the capabilities of the workforce and develop an adaptive organisation it is necessary to provide appropriate incentives, develop effective teams, design an attractive job environment and manage the dynamics of organisational change. One of the major outcomes of understanding the principles of organisational behaviour is a higher degree of self realisation of how we relate to other members of the organisation.

Topics Covered

1. The Basics of Organisational Behaviour and its Relation to Management 2. Stress and Well-Being at Work 3. Contemporary Theories of Motivation 4. Organisational Control and Reward Systems 5. Job Design and Employee Reactions to Work 6. Understanding Work Group Dynamics and Group-Based Problem-Solving 7. The Influence Processes in Organisations: Power, Politics, Leadership 8. Organisational Design and New Forms of Service-Driven Organisations 9. Managing Transitions: Organisational Culture and Change

Optional Courses

54

Photonics Applications Course Name Photonics Applications

Course Code B21SP Version 100 Department St Andrews University Stage 11 Credit 15 Course Level Postgraduate


Overview Students on this course choose to do two of the following three sections: Microphotonics and Plasmonics, Optical Trapping and Atom Optics,



Continuous Assessment = 20%, Two Hour Examination = 80% The continuous assessment comes from i) a talk chosen by the student from topics associated with their two components of the course (50%of the continuous assessment component) and ii) an assignment

Course Topics

Microphotonics and Plamsonics Nanophotonics based on nanostructured materials such as photonic crystals or plasmonic metamaterials is a hot topic in contemporary photonics. The fascination arises from the fact that theproperties of these materials can be designed to a significant extent via their structure. While photoniccrystals are made of dielectric materials, plasmonic structures are typically made of metals. Many ofthe properties of these nanostructured materials can be understood from their dispersion diagram or optical bandstructure, which is a core tool that will be explored in the course. Familiar concepts such as multilayer mirrors and interference effects will be used to explain the more complex features such as slow light propagation, high Q cavities in photonic crystal waveguides and supercontinuum generation in photonic crystal fibres. Similarly, the concepts of propagating and localized plasmons and their properties will be explained and expanded to include the novel effects of superlensing and optical cloaking in metamaterials. Biophotonics: This will introduce students to the exciting opportunities offered by applying photonics methods and technology to biomedical sensing and detection. A rudimentary biological background will be provided where needed. Topics include fluorescence microscopy and assays including time-resolved applications, optical tweezers for cell sorting and DNA manipulation, photodynamic therapy, lab-on-a-chip concepts and bio-MEMS. Optical Trapping and Atom Optics: Quantum physics is one of the most powerful theories in physics yet is at odds with our understanding of reality. In this course we show how laboratories around the world can prepare single atomic particles, ensembles of atoms, light and solid state systems in appropriate quantum states and observe their behaviour. The material includes optical cooling and trapping of atoms and ions, Fermigases, studies of Bose-Einstein condensation, and matter-wave interferometry.

Course Aim

This course aims to show how an understanding of photonics can lead to useful applications. The course structure allows choice of two out of three major areas. Research and presentation skills are honed through a student-driven paper-based research assignment on a chosen topic, which culminates in an oral presentation. Students’ familiarity with use of the research literature will be further developed in this course, which is directly informed by research in these areas in the School.

Optional Courses

55

Photonics Experimental Laboratory Course Name Photonics Experimental Laboratory (St. Andrews) Course Code B21SL

Version 100


Stage 11

Credit 15



The details are attached in St Andrews course descriptor for course "Photonics Laboratory 1", code PH5181.


The details are attached in St Andrews course descriptor for course "Photonics Laboratory 1", code PH5181.


Assessment of laboratory notebook and discussion with students, assessment of communication skills. 100%

Course Topics The details are attached in St Andrews course descriptor for course "Photonics Laboratory 1", code PH5181.

Learning Resources The photonics teaching laboratory gives training in the experimental photonics, and allows students the opportunity to explore photonics practically in a series of chosen open-ended investigations.

Course Aim The photonics teaching laboratory gives training in the experimental photonics, and allows students the opportunity to explore photonics practically in a series of chosen open-ended investigations.


Syllabus The details are attached in St Andrews course descriptor for course "Photonics Laboratory 1", code PH5181.

Research Engineers who complete the majority of their technical coursework at the University of St Andrews during their first semester, are recommended to complete the Experimental Laboratories during that period. For distance-learning REs, the laboratories are spread over the first three years of the programme, with one week each summer (or at a time arranged by the Research Engineer and the Centre Administrator/MSc Course Leader) being spent conducting and writing-up several relevant experiments to their area of research.

Optional Courses

56

Polymers and Liquid Crystals Course Name Polymers and Liquid Crystals

Course Code B21LC


Stage 11

Credit 5


Assessment Method - Additional Information Written Examination - 1 exam of 1.5 hours or the equivalent

Course Topics

Semiconducting polymers - photoluminescence and electroluminescence Factors determining efficiency Light-emitting diodes and field effect transistors Liquid crystals - nematic, smectic and cholosteric phases Director and order-parameter Operation of twisted nematic display

Course Aim To provide knowledge and understanding of polymers and liquid crystals and how they are used in displays.

Optional Courses

57

Principles of Mobile Communications Course Name Principles of Mobile Communications

Course Code B31SI Version 100


Credit 15



" Have a detailed knowledge of the infrastructure and core technologies used in cellular mobile systems " Have a detailed knowledge of radio channel modelling techniques, modulation types and signal analysis and error control coding " To have a rigorous mathematical background in stochastic processes for mobile communications


" Ability to understand the language and specifications of land and cellular radio systems " To be able to converse with experts in the mobile / land communication industry " To have advanced specialised numerical skills in order to be able to evaluate communication system performance " To be able to tackle complex design tasks and produce innovative solutions



Course Topics

The evolution of cellular mobile. Line transmission: (PDH and SDH), Signalling (SS7). The GSM radio access network, core network and its capabilities. The air-interface and core network (including ATM) for 3G. The General Packet Radio Services (GPRS) network. Speech compression for mobile. Probability and random processes; Characterisation and Modelling of Mobile Radio Channels; Digital carrier modulation; Digital modulation schemes; Bit error rate performance of digital modulation schemes in mobile fading channels; Error control coding, block codes, convolutional codes, Viterbi decoding; Diversity techniques.

Course Aim

" To provide students with a core knowledge of the workings of cellular mobile systems including GSM and 3G " To study in detail the characterisation and modelling of mobile radio channels " To study error coding schemes associated with mobile communications " To critically analyse BER performance in association with probability of error theory " To look at selected key technologies used in cellular mobile

Optional Courses

58

Professional and Industrial Studies Course Name Professional and Industrial Studies Course Code B81PI Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 15 Pass Mark 40 Course Level Postgraduate


Understanding, Knowledge and Cognitive Skills - Demonstrate critical evaluation of a case study scenario, involving analysis, synthesis and reflection of outcomes. - Demonstrate knowledge of the importance of enterprise activity in the modern world and working in teams. - Undertake critical analysis of an advanced topic as part of a working group. - Understanding of concepts from a range of areas in product and process development, including some outside engineering and relating to entrepreneurship and business, and the ability to apply them effectively in engineering projects. - The ability to use fundamental knowledge to investigate new and emerging technologies in the product development/new business environment. - Generate an innovative design for systems, components or processes to fulfil new needs. - Generate ideas for new products and develop and evaluate a range of new solutions in a financial and business context. - Make general evaluations of commercial risks through some understanding of the basis of such risks with respect to new product development. - Gain a thorough understanding of current practice and its limitations and some appreciation of likely new developments in this domain.


Work productively in small teams, interacting effectively within the teams while displaying leadership and group skills to appropriate standards. - Critically review, research and develop informed alternatives to given problems. - Demonstrate some originality and creativity in dealing with issues in enterprise, business and associated engineering activities. - Communicate to an audience, findings from research and analysis. - The ability to apply engineering techniques taking account of a range of commercial and industrial constraints with the ability to integrate knowledge and understanding of mathematics, science, ICT, design, the economic, social and environmental context and engineering practice to solve a product development/business centred problem through involvement in group design projects. - The ability to learn new theories, concepts, methods etc in unfamiliar (to them) situations which combine product development, roles in start-up companies, company funding, business planning and entrepreneurship. - The capability to develop, monitor and update a plan, to reflect a changing operating environment - Develop an understanding of different roles within a team and the ability to exercise leadership - The ability to monitor and adjust a personal programme of work on an ongoing basis and learn independently as part of a team with specific responsibilities. - To product formal presentations and reports at a standard appropriate to a Masters' level course


Coursework 100%

Course Topics

Aspects of the professional engineer’s competencies. Using technical and/or engineering knowledge and understanding to improve or exploit new and advancing technology; Application of a combination of theoretical and practical methods to analyse and solve a technical and/or engineering problem. This may include the identification of a potential project and where you have conducted appropriate research to design and develop an engineering

Optional Courses

59

solution; Technical and commercial leadership skills; Ideas and idea generation; 'The Entrepreneur - personality, drive and determination; SMEs, innovation and intellectual property; business planning processes

Course Aim

- To support the group project work being undertaken in parallel - To introduce concepts and practices in industry, from generation of an idea, to (basic) business planning, through to the infrastructure of support that exists in the UK. - To enhance student understanding of what professional engineers need to demonstrate. - To help the students start their professional engineering competence portfolio - To enhance student understanding of industries’ practices in engineering applications. - To raise student awareness of enterprise/entrepreneurship, business planning and company organisation in targeted product and process development group projects within engineering disciplines. - To increase student knowledge about enterprise skills application within start-up companies and SMEs. - To examine the impact that enterprise activities have on the community.

Optional Courses

60

Real Time Imaging and Control Course Name Real Time Imaging and Control Course Code B31XO Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 10 Course Level Postgraduate


Understanding, Knowledge and Cognitive Skills • An understanding of the topics in the syllabus and the ability to demonstrate their use in

practical situations.


• Ability to critically review, evaluate and implement a range of techniques in parallel and vector processing.

• Ability to design and simulate a closed-loop position control system for a robotic manipulator using MATLAB/SIMULINK.

• Ability to analyse a system having disparate sensing and actuation components, using appropriate mathematical tools.

• Ability to design and implement a system for dynamic actuation under visual control. •


Coursework 100%

Course Topics

• Introduction to contemporary architectures for time-critical algorithmic implementation: shared and distributed memory parallel computer architectures; DSP, FPGA, ASIC, SoC and GPU processors. How appropriate are these for vision and robotics?

• Multicore programming: shared memory algorithms and implementation in C/C++ using openMP. Software optimizations and design paradigms for image analysis and robotic control.

• GPU programming; pipelining and the SIMD model; extending form graphics and to visual algorithms

• Hardware/software co-design for image and video processing in real time. Mixed multicore and GPU programming for specific applications such as tracking and image compression. Code profiling and optimisation.

• Introduction to robot dynamics – Lagrange-Euler and Newton-Euler methods. Equations of motion for an n-link manipulator.

• Classical control techniques for joint angle control of a robotic manipulator. • Advanced control methods - feedback linearisation, model reference, self-tuning adaptive

and nonlinear. • Resolved motion control and hybrid position/force control methods. • Design and development of an application in visual control of an actuator: examples of an

appropriate task would include control of a directional CCTV camera to track and zoom on given subject, steering a small robot vehicle (e.g. a pioneer robot or a subsea pod) using sensors, or control of an articulated robot in a bin-picking task.

o

Course Aim

• To provide an introduction to modern hardware and software for the implementation of time-critical vision and robotics

• To provide practical experience of both parallel and vector processing techniques • To give a critical understanding of robot dynamics and classical/advanced position control

methods for a robotic manipulator • To provide an introduction to control methods for closed and open ‘vision in the loop’ • To allow implementation of an integrated vision/robotics system

Optional Courses

61

Robotics Project Course Name Robotics Project Course Code B31XP Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 10 Course Level Postgraduate


Understanding, Knowledge and Cognitive Skills • Critical understanding of advanced image processing techniques. • Practical knowledge of advantages and limitations of techniques to accompany detailed

theoretical knowledge. • Critical understanding of hardware limitations for Robotics and Image Processing • Practical experience of real robotics projects.


• Ability to critically review, evaluate and implement a range of advanced techniques in image processing on real robots for a predefined specific task

• Practical experience of robotics and image processing development • Practical experience of project and people management • Practical experience of teamwork under strict time deadlines.


Coursework 100%

Course Topics

o Robotics design and understanding. The students will be provided with a basic robot complete with sensors and processors and will have to integrate algorithms designed from knowledge learnt in other supporting courses in VIBOT. A demonstration day will be organised where the students will demonstrate their robots. The course will be undertaken by individual students or in pairs.

o Project & People management o Software design and integration. Cross compilation and debugging o Real life development and testing of control, signal and image processing

algorithms o State of the art robotics demonstrations

Course Aim

o To develop understanding in systems of systems engineering o To develop a critical understanding of real project management o To develop a critical understanding of integration & teamwork o To prepare for real multi-disciplinary industrial projects

Optional Courses

62

RF Mobile Communication Systems Course Name RF Mobile Communication Systems

Course Code B31SH

Version 100


Credit 15


Course Type A


To be able to demonstrate an in depth understanding the operations of RF wireless communications systems. " To be able to critically analyse active devices, circuit and antenna technologies. " To be able to use transceiver parameters for complex system design. " To be aware of advanced material and device technologies and be able to specify their use in systems.


" To be to demonstrate a clear understanding of advanced techniques and their application areas. " To be able to perform the analysis and design of complex systems.


Examination 90% Coursework 10% Re-assesment, examination

Course Topics

General RF wireless systems. Transmission lines and circuit parameters Active devices and circuit technologies. Antenna technologies. Transmitter and receiver system parameters. Advanced materials and device technologies. Case study of a system design for mobile communications.

Course Aim To equip the students with the knowledge and understanding to critically analyse hardware, parameters, and architectures of RF/microwave mobile communications systems.

Optional Courses

63

Semiconductor Optoelectronic Devices Course Name Semiconductor Optoelectronic Devices Course Code B21OD Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 15 Course Level Postgraduate


On completion of this module, the learner will be able to: • Achieve a critical understanding of the theories, concepts and principles of the

characteristics of laser action in semiconductors • Demonstrate a detailed knowledge and understanding of the module topics, in

particular: laser action in semiconductors key designs of semiconductor lasers and design considerations in major semiconductor optoelectronic devices optical detection in semiconductor photodiode structures impact ionisation noise in photodiodes and associated amplifier circuitry choice of device type in optical system applications. • Integrate previous knowledge from the physics course with the topics discussed in

the module • Analyse advanced problems in numerical modelling and data analysis • Apply the theory of the module topics to problems or situations not previously

encountered • Pursue supported, independent study of a cognate topic to the SCQF level of the

module


The module provides the opportunity to : • Apply the advanced core knowledge expected of a professional physicist to gain

professional level insights, • Communicate effectively with professional level colleagues • Interpret, use and evaluate critically a wide range of data to solve problems of

both a familiar and unfamiliar nature • Manage time effectively, work to deadlines and prioritise workloads • Use a range of ICT skills with on-line materials and web links to support the

learning process • Apply strategies for appropriate selection of relevant information from a wide

source and large body of knowledge • Exercise significant initiative and independence in carrying out learning activities

and researching information Assessment Method - Additional Information

Exam 3 hours 100%

Course Topics

Semiconductor physics – Fermi Level, density of states, doping, recombination mechanisms, p-n junction. Light Emitting Diodes. Laser diodes: rate equations, operational characteristics, modulation. Specialised laser diodes – multiple quantum well, quantum dot, distributed feedback, VCSELs. Photoemissive detectors and photomultipliers. Semiconductor photodetectors: Schottky, p-n, p-i-n photodiodes, and avalanche photodiodes. Noise in semiconductor detectors and amplifiers.

Course Aim To impart a knowledge of semiconductor optoelectronic devices both in the theoretical aspects and in the practical aspects of device design and manufacture.

Optional Courses

64

Semiconductor Physics and Devices Course Name Semiconductor Physics and Devices Course Code B21SD Version 100 Department School of Engineering & Physical Sciences Stage 11 Credit 10 Course Level Postgraduate Learning Outcomes - Subject Mastery



Continuous Assessment = 40%, 2-hour Examination= 60%

Course Topics

This is a distance-learning course covering the basic properties of semiconductor physics including their optical and electronic properties, and the low dimensional structures which may be constructed from them; and semiconductor devices ranging from pn junctions, solar cells, and LEDs to lasers, waveguides, optical amplifiers, optical modulators, and detectors. Teaching: Material, tutorial support, and continuous assessment delivered at a distance by means of WebCT. Students are responsible for ensuring they have internet access.

Course Aim

Optional Courses

65

Software Engineering Course Name Software Engineering Course Code B31PB

Version 100


Credit 15

Pass Mark 50


Course Type A


" Extensive & detailed knowledge and understanding of object orientated and functional programming concepts & techniques. " Fundamental knowledge of the software engineering life-cycle and an understanding of the methodologies available to support this process." Ability to design, implement and test large scale software solutions to given requirements. " Ability to design original response to specified software requirements. Undertake critical evaluations of software." Ability to take responsibility for large scale programming exercise " Understanding of the software engineering process from case studies from industry to improve professional awareness


Use of DSP software development environment. Ability to direct & take responsibility for own work. Undertake critical evaluations of a wide range of experimental work



Course Topics

• C++ Programming Concepts of Object Orientated ProgrammingClasses, Methods, Constructors. Destructors, public, private, friendsControl constructs; Iteration; Functions; Arrays; Pointers; File Input & Output; Comparison of OO and functional programming Software Engineering Principles

• Extension of OO programming methodology" Software EngineeringSoftware Design, UMLSoftware Development models; Requirements analysis and specification; Design - Functional & Object-orientated; Implementation; Validation and verification; Organising software projects; Case studies

• Introduction to contemporary architectures for time-critical algorithmic implementation: shared and distributed memory parallel computer architectures; DSP, FPGA, ASIC, SoC and GPU processors. How appropriate are these for vision and robotics

• Multicore programming: shared memory algorithms and implementation in C/C++ using openMP. Software optimizations and design paradigms for image analysis and robotic control.

• GPU programming; pipelining and the SIMD model; extending form graphics and to visual algorithms

• Hardware/software co-design for image and video processing in real time. Mixed multicore and GPU programming for specific applications such as tracking and image compression. Code profiling and optimisation.

Course Aim

To development significant practical skills in a widely used imperative programming language. To develop critical understanding of good professional practise in software development and of the software engineering life cycle. To develop detailed understanding of programming concepts To provide an introduction to modern hardware and software for the implementation of time-critical vision and robotics To provide practical experience of both parallel and vector processing techniques

Optional Courses

66

Specialist Engineering Technology 1 Course Name Specialist Engineering Technology 1

Course Code B51GS

Version 100


Credit 15


Course Type A


To be able to understand the formulation of a CFD problem based on fundamental fluid mechanics and thermodynamic principles. To perform CFD simulations using a commercially-available software.


Analytical skills will be developed by following the lecture series and through attempting problems presented at workshops. Feedback to problem solutions will be available at workshop sessions on request. Group working skills will be developed by participation in the laboratory sessions and the subsequent engineering analysis. Written communication skills will be developed through project report writing.


Report 100%

Course Topics

Lectures: Basic principles of Mass, Momentum and Energy. The Navier-Stokes equations. The Reynolds Averaged Navier-Stokes equations. The Energy equation. Workshops: An introduction to CFD software, including creating geometry, building a mesh, imposing fluid flow conditions, obtaining a solution and interrogating the results.

Learning Resources

To develop an understanding of what is involved in obtaining valid computational simulations of fluid flow and heat transfer problems.

Course Aim To develop an understanding of what is involved in obtaining valid computational simulations of fluid flow and heat transfer problems.


Syllabus

Lectures: Basic principles of Mass, Momentum and Energy. The Navier-Stokes equations. The Reynolds Averaged Navier-Stokes equations. The Energy equation. Workshops: An introduction to CFD software, including creating geometry, building a mesh, imposing fluid flow conditions, obtaining a solution and interrogating the results.

Optional Courses

67

Specialist Engineering Technology 2 Course Name Specialist Engineering Technology 2

Course Code B51GT

Version 100


Credit 15


Course Type A


To understand the failure and design of engineering components in rolling sliding contact including, cam/tappet arrangements, bearings, gears, etc. Advanced understanding of FEM analysis via non-linear programming.


Design analysis and computer based skills as part of the lectures and tutorials and individual assignment. Written communication skills will be developed through project report writing. Communication and presentation skills as part of the project presentation.

Assessment Method - Additional Information Report 100%

Course Topics Contact mechanics, Contact Fatigue, gear and bearing design, FEM analysis.

Learning Resources To present advanced theory and practice in important or emerging areas of technology including non-linear FEM to include contact mechanics, design of components subjected to high stress applications.

Course Aim To present advanced theory and practice in important or emerging areas of technology including non-linear FEM to include contact mechanics, design of components subjected to high stress applications.


Syllabus Contact mechanics, Contact Fatigue, gear and bearing design, FEM analysis.

Optional Courses

68

Strategic Planning Course Name Strategic Planning

Course Code H11SP

Version 100


Credit 20


Course Type A

Author Prof Alex Scott Format Combined printed text with online course

Overview

The major problem facing chief executives is to make sense of a spectrum of information and apply appropriate tools and techniques in driving an organisation through a complex and continually changing competitive environment. The complexity of real life can be structured as a process involving objective setting, analysing competitive positioning, choosing a strategy, implementing it and adapting to feedback over time. Clearly all of these steps are crucial and organisations succeed or fail depending on the robustness of their strategic processes. This means that there are no easy answers to strategic problems and the solutions offered by business gurus can be seen for what they are: popular appeals to intuition which are largely devoid of any conceptual or empirical basis. Strategic planning is above all about thinking effectively and using the strategic process approach requires a sound understanding of the other core disciplines.

Topics Covered

1. Introduction to Strategy, Planning and Structure 2. Modelling the Strategic Planning Process 3. Company Objectives 4. The Company and the Economy 5. The Company and the Market 6. Internal Analysis of the Company 7. Making Choices among Strategies 8. Implementing and Evaluating Strategy

Optional Courses

69

Strategic Risk Management Course Name Strategic Risk Management Course Code H17RK

Version 100


Credit 20


Course Type A

Authors

Prof Alex Roberts, Dr William Wallace and Mr Neil McClure

Format


Overview

Corporate risk is typically regarded as being equivalent to financial risk. This is a major error because financial risk is only one element of an organisation's risk profile. Other risks include change risk, operational risk and unforeseeable risk; taken together these can be classed as strategic risk and the question then arises of how to manage risk in all its dynamic complexity. This is achieved by the use of a risk management process model that provides a framework within which risk concepts are applied. There is a huge difference between understanding risk and managing risk and this course provides a unique tool kit for all managers who have to confront risk issues.

Topics Covered

1. Introduction 2. Background to Risk 3. The Concept of Risk Management 4. Strategic Risk 5. Change Risk and Project Management as a Tool for Managing Change 6. Operational Risk Management 7. Unforeseeable Risk 8. The Risk Interdependency Field and the Development of a Process Model 9. Operational Risk in Financial Services 10. Operational Risk in Production and Manufacturing

Optional Courses

70

Ultrafast Photonics Course Name Ultrafast Photonics

Course Code B21UF

Version 100


Credit 5



On completion of this course, the learner will be able to: " Achieve a critical knowledge and understanding of ultrafast photonics " Demonstrate a detailed knowledge and understanding of advanced concepts and applications in ultrafast photonics. " Integrate previous knowledge from the physics course with the topics discussed in the course " Analyse advanced problems in ultrafast photonics " Apply the theories of ultrafast photonics to problems or situations not previously encountered




Course Topics

Ultrafast Photonics (10) Pico/femtosecond techniques. Standing wave and travelling wave resonators. Active and passive modelocking schemes. Saturable gain and loss. Nonlinear optical effects for enhanced modelocking. Application examples and measurement techniques associated with ultrashort laser pulses.

Learning Resources To provide advanced knowledge in ultrafast photonics, building on previous courses on Lasers (B21LP, B21LD) and Displays and Non-Linear Optics(B21DN). This course is available in distance learning format only.

Course Aim To provide advanced knowledge in ultrafast photonics, building on previous courses on Lasers (B21LP, B21LD) and Displays and Non-Linear Optics(B21DN). This course is available in distance learning format only.


Syllabus

Ultrafast Photonics (10) Pico/femtosecond techniques. Standing wave and travelling wave resonators. Active and passive modelocking schemes. Saturable gain and loss. Nonlinear optical effects for enhanced modelocking. Application examples and measurement techniques associated with ultrashort laser pulses.

Optional Courses

71

Virtual Environments Course Name Virtual Environments

Course Code F21VE

Version 100


Credit 15



" Be able to critically evaluate the strengths and weaknesses of current VR technologies " Detailed understanding of the main components of a virtual reality system and the importance and impact of real-time constraints " Detailed understanding of modelling approaches and their uses " Critical understanding of the state-of-the-art in VE application domains " Ability to apply appropriate display and interaction capabilities to specific VR applications and justify choices made " Able to apply basic VE construction skills to the creation of small-scale systems


" Taking responsibility for own work, taking responsibility in the development of resources, critical reflection on development process and work undertaken by self. " Effective communication in electronic and written report form. " Showing initiative, creativity and team working skills in virtual environment development


Exam 2 hours 70% Course work (individual project) 30% Re-assessment: Exam: 2 hrs

Course Topics

" Introduction: History of VEs " What a VE is not.; concepts of immersion and presence, RT constraints " Overview of current VE applications " Basic Types and Components of VEs (graphics hardware, displays, interaction devices, software,) " Modelling - low polygon, standards, mechanisms " Construction of models " Physically-based modelling " Web-based 3D " Agents and avatars " Distributed VEs " Construction of VEs and future of VEs " Creation of small VE " Course summary and review

Course Aim

" To enable participants to understand the concepts and benefits of Virtual Environments (VEs) with respect to various applications. " To equip participants with the skills to create a skeleton Virtual Environment using state-of-the-art VE software toolkits

heriot-watt university industrial doctorate centre university . university of glasgow . university...

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