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1 Industrial Doctorate Centre Optics and Photonics Technologies Engineering Doctorate Programme Course Module 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

Heriot-Watt University Industrial Doctorate Centre Doctorate Centre ... Heriot-Watt University University of Glasgow University of St Andrews University of Strathclyde in association

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Industrial Doctorate Centre Optics and Photonics Technologies

Engineering Doctorate Programme Course Module 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 course structure detailing when each module is currently scheduled to run (by semester) and also details the module descriptors.

Taught Module Overview

Students, also known as Research Engineers (REs), must complete 180 credits of taught course modules. There are a number of mandatory (core) modules that all REs must complete, with the remaining credits being taken from the extensive list of optional modules. The EngD Thesis counts as 5400 effort hours or 540 credits. The Engineering Doctorate degree is studied over 4 years, with 25% of study time spent on taught coursework and 75% based on project work. REs may study taught components throughout the four years, however, the majority of the modules will be studied during the first 3 years of the course. Some REs will remain in employment with their sponsoring company throughout the four years and may study all taught modules by distance learning.

If an RE has completed a relevant MSc course or a module, they can request an exemption of up to 75 credits for the accredited prior learning (APL) under the Heriot-Watt Regulation 46. This process is carried out by the Industrial Doctorate Centre staff. REs can elect to take any of the optional modules but if they wish to follow a specialist theme (see page 5 below for details), such as Photonics, Microsystems, Digital Tools, or Signal and Image Processing, they would be guided by their Academic Supervisor as to which modules would be most appropriate. The Industrial Supervisor would also be involved in deciding which modules would be relevant to the research project and for the individual RE. Modules are also subject to timetabling constraints. A number of the modules are available for distance-learning, including all business modules and are highlighted with (DL). Those modules that are campus-based are highlighted as (CB) – some modules can be taken by either route.

Core Modules Accountancy (H11AC) (DL & CB): This is a business (MBA) module offered by the Edinburgh Business School (EBS) and is usually available during semester 1. This is a distance learning module which the RE studies off-campus but has a 4-day study period on-campus which the REs are recommended to take, and a 2-day revision period prior to the examination, which is optional. EngD Research Thesis (B51ED) (DL): This module is the written culmination of the project work undertaken by the RE, which forms approximately 75% of the work of the course. Literature Review (B21LR) (DL): Usually to be completed within the first six months of study. Marketing (H11MK) (DL & CB): This is a business (MBA) module offered by the Edinburgh Business School (EBS) and is usually available during semester 1. This is a distance learning module which the RE studies off-campus but has a 4-day study period on-campus which the REs are recommended to take, and a 2-day revision period prior to the examination, which is optional. Project Management (H11PM) (DL & CB): This is a business (MBA) module offered by the Edinburgh Business School (EBS) and is usually available during semester 2. This is a distance learning module which the RE studies off-campus but has a 4-day study period on-campus which the REs are recommended to take, and a 2-day revision period prior to the examination, which is optional.

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List of Modules Semester 1 (September – December)

Mandatory H11AC Accountancy (DL) H11MK Marketing (DL) Optional F21MA 3D Modelling and Animation (CB) B51EM Advanced Mechanics of Materials 1 (CB) B31SF Communications and Networks (CB) F29GR Computer Graphics (CB) F21DL Data Mining and Machine Learning (CB) B31TB Design, Modelling and Packaging of MEMS (CB) - not currently running B31DF Digital Design (CB) B31SC Digital Signal Processing (CB) B21DN Displays and Nonlinear Optics (DL) H11EC Economics (DL) B51DE Engineering Design (CB) B21FN Fourier and Nonlinear Optics (CB) or B21FM Modern Optics (DL) B30TC Fundamentals of Photonics and Micromechanics (CB) B21LA Laser applications and Engineering (CB) B21LD Lasers (DL) B21LP Lasers (St Andrews) B31TA Manufacturing Processes in MEMS (CB)- not currently running B21MG Materials Growth & Fabrication (DL) B21NT Nanophotonics (DL & CB) B21NS Nanophysics (DL & CB) B20NQ Nanoscience primer (CB) B81NP New Product and Process Development (CB) H11OB Organisational Behaviour (DL) B21PA Photonics Applications (CB) B21SL Photonics Experimental Laboratory (CB) B31VX Research Methods, Critical Analysis and Project Planning (CB) B20SO Semiconductor Optoelectronics (CB) B21SD Semiconductor Physics and Devices (DL) B51ST Shape Technologies (CB) B30PA Software Engineering I (CB) B51GS Specialist Engineering Technology 1 (CB) B21LC Polymers and Liquid Crystals (DL)

Semester 2 (January – April) Mandatory for all students B21LR Literature Review (DL) H11PM Project Management (DL) Optional (see General Module Options below for suggested thematic combinations) for all students B41NC Nanochemistry (CB) B21NL Nanolaboratory (CB) F21AD Advanced Interaction Design (CB) B51EN Advanced Mechanics of Materials 2 (CB) H11CS Competitive Strategy (DL) B51DR Digital representation of shape (CB) F21EC E-Commerce Technology (CB) B51DF Engineering Manufacture (CB) B21FC Fibre Optic Communication (CB & DL) (exam in May) B31SE Image Processing (CB) B21IL Industrial Applications of Lasers (DL) B21LA Laser Applications and Engineering (CB)

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H11NG Negotiation (DL) B31UA Numerical Computation and Statistics (CB) B21OI Optical Metrology (DL) B31SH Principles of Mobile Communications (CB) B31VY Project Phase I (CB) B31TD RF Mems (CB) B31SG RF Mobile Communications Systems (CB) B31TE Sensors and Actuators (CB) - not currently running B31PB Software Engineering 2 (CB) B51GT Specialist Engineering Technology 2 (CB) B21UF Ultrafast Photonics (DL) F21VE Virtual Environments (CB)

Summer Term (May – August)

Mandatory B51ED EngD Thesis Optional (see General Module Options below for suggested thematic combinations) for all students B21EX Experimental Laboratories (CB) H11FI Finance (DL) H11HF History of Financial Markets (DL) H11MS Making Strategies Work (DL) H11MQ Mergers and Acquisitions (DL) H11SP Strategic Planning (DL) N.B not recommended unless other core

business modules already completed. H11RK Strategic Risk Management (DL)

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Module Choice/Dissertation General Module Options The credit can be accumulated by a suitable combination of the options subject to the following limitations: - Students should normally choose sets of thematically related themes but from the list below must choose at least

one complete set: - No more than 5 Edinburgh Business School modules can be taken in total (including the 3 core modules:

Accountancy, Marketing and Project Management) Suitable thematic combinations are given by the following themes: Photonics: Core: Photonics Experimental Laboratory B21SL ; Lasers B21LP or B21LD(DL), Photonics Semiconductor Optoelectronics B20SO or Semiconductor Physics and Devices B21SP (DL*); Photonics Applications B21SP; Non-core Displays and Nonlinear Optics B21DN (DL); Nanophysics B21NS; Nanophotonics B21NT; Optical Metrology B21OI (DL*); Ultrafast Photonics B21UF (DL*), Materials Growth B21MG (DL*), Geometrical, Fourier Optics and Nonlinear Optics B21FN (DL*) or B21FM Modern Optics, Fibre Optic Communications; Laser Applications and Engineering B21LA; RF Mems B31TD (DL) Industrial applications of lasers (137A5)

Microsystems: Core: Manufacturing Processes in MEMS B31TA; Design, Modelling and Packaging of MEMS B31TB; Fundamentals of Photonics and Micromechanics B30TC; RF Mems B31TD; Sensors and Actuators B31TE; Laser Applications and engineering B21LA Non Core: Research Methods Critical Analysis and Project Planning B31VX ; Digital Design B31DF; Digital Signal Processing B31SC; Software Engineering 2 B31PB; Image Processing B31SE, Nanophysics B1NS, Nanophotonics B21NT, Nanoscience Primer B20NQ, Project Phase 1 B31VY, Software Engineering 2 B31PB, Image Processing B31SE , Nanochemistry B41NC, Nanolaboratory B21NL

Digital Tools and Optics: Core Shape Technologies B51ST, Critical Analysis and Research Preparation B81E0, 3D Modelling and Animation F21MA, Digital Representation of Shape B51DR, Virtual Environments F21VE, New Product and Process Development B59PP Non Core Software Engineering I B30PA, Digital Signal Processing B31SC, Software Engineering II B31PB, Image Processing B31SE, Signal and Image Processing: Core Software Engineering I B30PA, Digital Signal Processing B31SC, Software Engineering II B31PB, Image Processing B31SE Non core: Numerical Computation and Statistics in Engineering B31UA, Data mining and machine learning F21DL; Research Methods (B39RB), Geometrical, Fourier Optics and Nonlinear Optics B21FN (DL*) or B21FM Modern Optics, Optical Metrology B21OI (DL*);

Modules denoted by (DL) may optionally be taken in distance learning format. Modules denoted by (DL*) may only be taken in distance learning format. Students can opt to take any combination of the optional modules, as long as they are deemed beneficial to the student in relation to their research and/or personal development, by their Academic and Industrial Supervisors, and must be approved by the Course Director or Designate. The timetabling of the technical modules will be determined by the MSc related to the theme as follows: Photonics (B2A7 MSc in Photonics and Optoelectronic Devices), Microsystems, and Signal and Image Processing (B3J7 MSc in Microsystems with Photonics), and Digital Tools and Optics (B5F7 MSc in Creative 3D Digital Technologies)

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Accountancy

Module Name Accounting

Module Code H11AC

Department Edinburgh Business School

Stage 11

Credit 20

Pass Mark 50

Module 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

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EngD Research Thesis Module Name Doctorate of Engineering Research Thesis

Module Code B39ED

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Credit 180

Pass Mark 40

Module Level Postgraduate

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.

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Literature Review Module Code B21LR

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

The primary purpose of the module 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%

Module 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

Module 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 Module 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.

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Marketing

Module Name Marketing

Module Code H11MK

Department Edinburgh Business School

Stage 11

Credit 20

Pass Mark 50

Module Level Postgraduate

Author(s)

The Late Prof Harper Boyd and Prof Orville Walker

Format

Combined printed text with online course

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

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Project Management Module Name Project Management

Module Code H17PR

Department Edinburgh Business School

Stage 9

Credit 20

Pass Mark 40

Module Level Postgraduate

Author(s)

Prof Alex Roberts, Dr William Wallace

Format

Combined printed text with online course

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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3D Modelling and Animation

Module Name 3D Modelling and Animation

Module Code F21MA

Version 100

Department School of Mathematical & Computer Sciences (Computer Science)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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.

Learning Outcomes - Personal Abilities

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

Assessment Method - Additional Information

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

Module 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

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

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3D Shape Technologies

Module Name 3D Shape Technologies

Module Code B51ST

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, students will be able: " To recognise, explain and apply the principal theories, capabilities, concepts and tools underpinning the role of 3D Shape Technologies for product design, representation, capture and manufacture of 3D objects. " To describe and critically appraise the software processes required to support the functioning of various shape technologies (STL generations, point set processing, haptic rendering, curve and surface fitting). " To apply 3D shape technologies, accounting for the scope and performance to develop original and creative solutions to general and specialist issues of product design and manufacturing, incorporating awareness of current issues and research.

Learning Outcomes - Personal Abilities

On completion of this module, students will be able: " To demonstrate critical awareness of the current issues within the discipline and make informed judgements with incomplete or inconsistent data, or where there are no professional/ethical codes or practices for guidance. " To qualitatively and quantitatively discuss the domain of digitally-based 3D shape technologies for product design and manufacture.

Module Aim

Product design is becoming an increasingly important specialisation in modern product development and business. New tasks are constantly arising that require an understanding of how CAD and visualisation software are being used and developed, how rapid manufacturing technologies and materials are being applied to manufacture components, and how to manage and organise both resources and associated product development processes. This module teaches fundamental theories and practical techniques used in the design and engineering of mechanical products, parts and consumer artefacts, CAD/Visualisation software development and modern design and manufacturing. The module is especially suited to multi-skilled students who wish to pursue a career as a product development engineer, spanning both the analytical engineering and arts domains. This module is also useful to students wishing to develop careers in general design, and students wishing to integrate product development and associated technologies into their future studies. 1. To equip students with an understanding of the theory and practice of the technologies available for generating, visualising, manipulating and the physical manifestation of digital shape representation. 2. To introduce students to methodologies of computer-aided design, computer graphics, shape generation, shape capture and shape recognition.

Syllabus

This module will be taught over a period of 12 weeks. There will be a total of 10 core subject lectures, 2 invited lectures, and laboratory (inclusive of design studio, systems demonstrations and industrial visits). Students will also need to complete a mini group or individual project. The project must conform to the ethos of the module. That is, the project must involve use of 3D digital technologies for (creative) product design and manufacture. Students will be encouraged to investigate an industry that employs similar or competing 3D digital technologies in product design and manufacture to compare against that used in the mini project. The syllabus covers: " Shape capture: reverse engineering and measurements technologies: contact and non-contact measuring systems coordinate measuring machines. " Shape display: computer graphics, 3D stereo displays and holographic imaging. " User interfaces for shapes: virtual reality and haptic interfaces, 3D shape modelling. " Free form shape manufacturing: layered manufacturing systems, multi-axis numerical controlled machining.

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Advanced Interaction Design

Module Name Advanced Interaction Design

Module Code F21AD

Version 100

Department School of Mathematical & Computer Sciences (Computer Science)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

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.

Learning Outcomes - Personal Abilities

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

Assessment Method - Additional Information

Exam 2 hours 60% Coursework 40% Re-assessment: Exam: 2 hrs

Module 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

Module Aim

The module 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.

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Advanced Mechanics of Materials 1

Module Name Advanced Mechanics of Materials 1

Module Code B51EM

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of the module, 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

Learning Outcomes - Personal Abilities

On completion of the module, 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

Assessment Method - Additional Information

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

Module 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.

Module 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

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Advanced Mechanics of Materials 2

Module Name Advanced Mechanics of Materials 2

Module Code B51EN

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of the module, 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

Learning Outcomes - Personal Abilities

On completion of the module, 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

Assessment Method - Additional Information

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

Module 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.

Module 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

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Communications and Networks

Module Name Communications and Networks

Module Code B31SF

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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.

Learning Outcomes - Personal Abilities

" 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

Assessment Method - Additional Information

Examination 60% Coursework 40% Re-assessment, examination

Module 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.

Module 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.

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Competitive Strategy Module Name Competitive Strategy

Module Code H17CS

Version 100

Department Edinburgh Business School

Stage 9

Credit 20

Pass Mark 50

Module Level Postgraduate

Module Type A

Author

Prof Neil Kay

Format

Combined printed text with online course

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

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Computer Graphics

Module Name Computer Graphics

Module Code F29GR

Version 100

Department School of Mathematical & Computer Sciences (Computer Science)

Stage 9

Credit 15

Pass Mark 50

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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

Learning Outcomes - Personal Abilities

" 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

Assessment Method - Additional Information

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

Module 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 " Module summary and review

Module Aim To introduce fundamental Computer Graphics theory and programming.

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Data Mining and Machine Learning

Module Name Data Mining and Machine Learning

Module Code F21DL

Version 100

Department School of Mathematical & Computer Sciences (Computer Science)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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.

Learning Outcomes - Personal Abilities

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

Assessment Method - Additional Information

Coursework: 100% Re-assessment: coursework

Module 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.

Module 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.

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Design, Modelling and Packaging of MEMS

Module Name Design, Modelling and Packaging of MEMS

Module Code B31TB

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" Critical understanding of the principal theories, principles and concepts relating to the use of assembly, packaging and testing of Microsystems and applications. " Extensive, detailed and critical understanding of some specialist areas within the domain of packaging and testing of microsystem devices. " Understanding and use of a significant range of the principal skills, techniques and practices in assembly, packaging and testing and a range of specialised skills, research and investigation techniques, and practices informed by leading-edge research and development. " A broad knowledge of the main areas of packaging and testing technology, including terminology, conventions, underpinning theory, techniques and practices. " Application-based knowledge and skills relating to the broad range of activities within the packaging domain, and specialist knowledge and skills in applications relating to a number of specialist areas within the domain. " Fundamental knowledge and skills to deal with diverse and complex technological packaging problems that exist in microsystems engineering and related disciplines and a critical understanding of the range of tools and techniques available to support this process. " A critical understanding of the relationships and interactions between the various components in a microsystem to achieve the overall goal of the systems structure and operation.

Learning Outcomes - Personal Abilities

" Develop and apply skills in critical analysis, evaluation and synthesis in consideration of the range of theories, concepts and techniques in use within the domain of packaging and related issues, and in the design of projects and experimental models. " Abilities to critically understand and apply relevant theories and technologies to developing analytical and design skills. " Develop and utilise advanced problem-solving skills and techniques in the development of original and creative solutions to general and specialist issues within the domain of packaging problems for microsystems. " Develop and demonstrate skills and techniques in communication with peers and academic/industrial staff, using a range of appropriate methods to suit different levels of knowledge and expertise within the audience. " Develop and demonstrate critical knowledge and skills in the planning and usage of software tools and numerical techniques to develop, present and communicate information on projects and processes. " Demonstrate critical awareness of the current issues within the discipline, and make informed judgements with incomplete or inconsistent data, or where there are no professional/ethical codes or practices for guidance. " Work autonomously and within teams, as appropriate, demonstrating a capability for both taking and critically reflecting on roles and responsibilities.

Assessment Method - Additional Information

Continuous assessment 20% Examination 80% Re-assessmeny, examination

Module Topics

Overview of modelling methodologies; Lumped element analysis; Finite element modelling of MEMS;High level modelling of MEMS; Computer aided d design of Microsystems; Introduction to Ansys, Coventorware, VHDL-AMS, Comsol Multiphysics, design case studies. Packaging hierarchy and functions; Mechanical and thermal stress in Microsystems packaging; wire bonding; flip chip bonding; wafer level bonding; Hermeticity and stiction; Examples of MEMS packaging; Testing of Microsystems; Characterization techniques for MEMS; Thin film mechanical characterization

Module Aim " Develop detailed knowledge and critical understanding of the core skills in the area of packaging issues related to Microsystems and devices.

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" Develop and use a significant range of principal and specialist skills, techniques and practices in the modelling, packaging and design of Microsystems. " Be able to apply this knowledge directly to complex applications " Critically review existing practice and develop original and creative solutions to problems within the domain. " Communicate and work effectively with peers and academic staff in a variety of tasks, demonstrating appropriate levels of autonomy and responsibility.

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Digital Design

Module Name Digital Design

Module Code B31DF

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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.

Learning Outcomes - Personal Abilities

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.

Assessment Method - Additional Information

Examination 75% Coursework 25% Re-assessment, examination

Module 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.

Module 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.

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Digital Representation of Shape

Module Name Digital Representation of Shape

Module Code B51DR

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, students will be able: 1. Experience of API interfaces to geometric manipulation and rendering engines. 2. Practical experience of programming with representations of geometry. 3. An appreciation of the issues involved in translation between different geometric representations.

Learning Outcomes - Personal Abilities

On completion of this module, students will be able: To design and implement geometric algorithms, select appropriate representations and anticipate problems.

Module Aim

The module is especially suited to multi-skilled students who wish to pursue a career as a product development engineer, spanning both the analytical engineering and arts domains. This module is also useful to students wishing to develop careers in general design, and students wishing to integrate product development and associated technologies into their future studies. 1. To equip students with an appreciation and understanding of the various shape representation schemes and algorithms used in 3D software application. 2. To introduce students to methodologies of shape generation using a commercial solid modeling kernel.

Syllabus

This module will be taught over a period of 10 weeks. There will be a total of 10 core subject lectures and a series of computing laboratory sessions. Students will also need to complete 5 assignments that make use of a commercial geometric kernel. The syllabus covers: " Data structures for geometry: principles and challenges. " Algorithms: design of geometric algorithms, complexity and robustness. " Boundary representations: principles, algorithms, advantages, limitation, applications. " Boundary representations: free form surface representation. " Spatial sub-division schemes: quad trees, octrees, binary and tete Trees, algorithms, advantages, limitation, applications. " Point-sets representations: algorithms, advantages, limitation, applications. " Polygon meshes: algorithms, advantages, limitation, applications. " Standard formats (IGES, STEP, and STL, X3D).

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Digital Signal Processing

Module Name Digital Signal Processing

Module Code B31SC

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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.

Learning Outcomes - Personal Abilities

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

Assessment Method - Additional Information

Coursework 40% Examination 60% Re-assessment, examination

Module 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.

Module 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.

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Displays and Nonlinear Optics

Module Name Displays and Nonlinear Optics (St. Andrews)

Module Code B21DN

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 10

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

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

Learning Outcomes - Personal Abilities

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

Assessment Method - Additional Information

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

Module Topics Full details of this module are attached in the St Andrews module descriptor for module "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.

Module 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.

Elective Module NOT available as an elective

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

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E-Commerce Technology

Module Name e-Commerce Technology

Module Code F21EC

Version 100

Department School of Mathematical & Computer Sciences (Computer Science)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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.

Learning Outcomes - Personal Abilities

" 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

Assessment Method - Additional Information

Exam 2 hours 60% Coursework 40% Re-assessment: Exam: 2 hrs

Module 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

Module 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.

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Economics Module Name Economics, H11EC

Credit 20

Pass Mark 50

Module Level Postgraduate

Author

Prof Keith Lumsden

Format

Combined printed text with online course

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

28

Engineering Design

Module Name Engineering Design

Module Code B51DE

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

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

Learning Outcomes - Personal Abilities

" 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.

Assessment Method - Additional Information

Continuous assessment - 100% Reassessment - Not permitted.

Module 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.

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

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Engineering Manufacture

Module Name Engineering Manufacture

Module Code B51DF

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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.

Learning Outcomes - Personal Abilities

" 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.

Assessment Method - Additional Information

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

Module 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.

Module 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.

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Fibre Optic Communications (DL and Campus Based)

Module Name Fibre Optic Communications

Module Code B21FC

Department School of Engineering & Physical Sciences (Physics)

Credit 15

Pass Mark 50

Module Level Postgraduate

Learning Outcomes - Subject Mastery

On completion of this module, 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 module " 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

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Examination 100%

Module 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.

Module 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

31

Finance

Module Name Finance

Module Code H11FI

Version 100

Department Edinburgh Business School

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Author

Prof Kenneth Boudreaux

Format

Combined printed text with online course

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

32

Fundamentals of Photonics and Micromechanics

Module Name Fundamentals of Photonics and Micromechanics

Module Code B30TC

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 10

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

Fundamental understanding of the principal theories, principles and concepts relating to the use of photonics and mechanics and especially micromechanics in the domain of Microsystems engineering and scientific applications. " Extensive, detailed and critical understanding of some specialist areas within the domain of photonics and micromechanics for microsystems. " Understanding and use of a significant range of the principal skills, techniques and practices in micromechanics and basic photonics, and a range of specialised skills, research and investigation techniques, and practices informed by leading-edge research and development. " A broad knowledge of the main areas of photonics and micromechanics techniques. " Application-based knowledge and skills relating to the broad range of activities within the photonics and micromechanics domains, and specialist knowledge and skills in applications relating to a number of specialist areas within the domain. " Fundamental knowledge and skills to deal with diverse and complex technological systems that exist in engineering and science disciplines and a critical understanding of the range of tools and techniques available to support this process. " A critical understanding of the relationships and interactions between the various components in a system (Hardware and software) to achieve the overall goal of the systems structure and operation.

Learning Outcomes - Personal Abilities

Develop and apply skills in critical analysis, evaluation and synthesis in consideration of the range of theories, concepts and techniques in use within the domain of photonics and micromechanics, and in the design of projects and experimental models. " Abilities to critically understand and apply relevant theories and technologies to developing analytical and design skills " Develop and utilise advanced problem-solving skills and techniques in the development of original and creative solutions to general and specialist issues within the domain of Microsystems engineering. " Develop and demonstrate skills and techniques in communication with peers and academic/industrial staff, using a range of appropriate methods to suit different levels of knowledge and expertise within the audience. " Develop and demonstrate critical knowledge and skills in the planning and usage of software tools and numerical techniques to develop, present and communicate information on projects and processes. " Demonstrate critical awareness of the current issues within the discipline, and make informed judgements with incomplete or inconsistent data, or where there are no professional/ethical codes or practices for guidance. " Work autonomously and within teams, as appropriate, demonstrating a capability for both taking and critically reflecting on roles and responsibilities.

Assessment Method - Additional Information

Examination 80% Continuous Assessment 20% Reassessment: Examination 100%

Module Topics

Basics of mechanics, Young's modulus, shear rate, Poisson's ratio, yield strength, fracture, examples; Extrapolation to non isotropic materials, notion of tensor, stiffness matrix, compliance, examples; Plane Statics, bending and elastic forces, Dynamics of vibrating structures and stress and strain of elastic structure, non linear elasticity theory, visco - elasticity, basics of fracture and theory, surface tension effects. Basic properties of lasers; analogy with electronic amplifiers/oscillators; optical amplifiers and oscillators; Beer's law; laser oscillation threshold; interaction of radiation (photons) with matter; absorption; spontaneous emission; stimulated emission; population inversion; elementary rate equations; optical feedback in lasers; laser resonators; laser beam properties: power/energy;

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divergence; monochromatic light; brightness; coherence. Introduction to semiconductors; optical properties of semiconductors; the p-n junction; LEDs; diode laser structure; diode laser operation; heterostructure lasers; photodetectors. Fibre structure; principles of waveguiding; the dielectric slab waveguide; modal power distributions; dispersion; guided modes; multimode & single mode fibres; novel fibre optics. Laser distance measurements to satellites; Lasers materials processing; Optical storage (CD / DVD); Optical communication systems.

Learning Resources

Develop detailed knowledge and skills to deal with diverse and complex technological systems that exist in microsystems engineering and a critical understanding of the range of tools and techniques available to support this process. " Develop a critical understanding of the relationships and interactions between the various components in a microsystem (Hardware and software) to achieve the overall goal of the systems structure and operation. " Develop and use a significant range of principal and specialist skills, techniques and practices in the domain of fundamental photonics and micromechanics. " Critically review existing practice and develop original and creative solutions to problems within the domain. " Communicate and work effectively with peers and academic staff in a variety of tasks, demonstrating appropriate levels of autonomy and responsibility. " Plan and execute a significant project of research, investigation or development in a specialist area, demonstrating extensive, detailed and critical understanding of that specialism.

Module Aim

Develop detailed knowledge and skills to deal with diverse and complex technological systems that exist in microsystems engineering and a critical understanding of the range of tools and techniques available to support this process. " Develop a critical understanding of the relationships and interactions between the various components in a microsystem (Hardware and software) to achieve the overall goal of the systems structure and operation. " Develop and use a significant range of principal and specialist skills, techniques and practices in the domain of fundamental photonics and micromechanics. " Critically review existing practice and develop original and creative solutions to problems within the domain. " Communicate and work effectively with peers and academic staff in a variety of tasks, demonstrating appropriate levels of autonomy and responsibility. " Plan and execute a significant project of research, investigation or development in a specialist area, demonstrating extensive, detailed and critical understanding of that specialism.

Elective Module NOT available as an elective

Syllabus

Basics of mechanics, Young's modulus, shear rate, Poisson's ratio, yield strength, fracture, examples; Extrapolation to non isotropic materials, notion of tensor, stiffness matrix, compliance, examples; Plane Statics, bending and elastic forces, Dynamics of vibrating structures and stress and strain of elastic structure, non linear elasticity theory, visco - elasticity, basics of fracture and theory, surface tension effects. Basic properties of lasers; analogy with electronic amplifiers/oscillators; optical amplifiers and oscillators; Beer's law; laser oscillation threshold; interaction of radiation (photons) with matter; absorption; spontaneous emission; stimulated emission; population inversion; elementary rate equations; optical feedback in lasers; laser resonators; laser beam properties: power/energy; divergence; monochromatic light; brightness; coherence. Introduction to semiconductors; optical properties of semiconductors; the p-n junction; LEDs; diode laser structure; diode laser operation; heterostructure lasers; photodetectors. Fibre structure; principles of waveguiding; the dielectric slab waveguide; modal power distributions; dispersion; guided modes; multimode & single mode fibres; novel fibre optics. Laser distance measurements to satellites; Lasers materials processing; Optical storage (CD / DVD); Optical communication systems.

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Fourier and Nonlinear Optics

Module Name Geometrical, Fourier and Nonlinear Optics

Module Code B21FN

Department School of Engineering & Physical Sciences (Physics)

Credit 15

Pass Mark 50

Module Level Postgraduate

Learning Outcomes - Subject Mastery

" Demonstrate a systematic understanding of Geometrical Optics, Fourier Optics, and Nonlinear Optics 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 Nonlinear Optics, 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 Nonlinear Optics.

Learning Outcomes - Personal Abilities

" Solve complex problems in Geometrical Optics, Fourier Optics, and Nonlinear Optics 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 Nonlinear Optics. " Demonstrate personal responsibility for their learning in terms of how they organise and review their learning materials, and participate actively in classroom learning. " 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%

Module 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. Nonlinear Optics and Modulators: Crystal optics, Electro-optic effect, Nonlinear optics, Second-order nonlinear 3-wave interactions, Third-order nonlinearities, 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 Nonlinear Optics, and their application in research and industrial contexts.

Module 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 Nonlinear Optics, and their application in research and industrial contexts.

Syllabus See module topics above for details.

35

History of Financial Markets

Module Name History of Financial Markets

Module Code H17HF

Version 100

Department Edinburgh Business School

Stage 9

Credit 20

Pass Mark 50

Module Level Postgraduate

Module Type A

Author(s)

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

Format

Combined printed text with online course

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

36

Image Processing

Module Name Image Processing

Module Code B31SE

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 1

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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

Learning Outcomes - Personal Abilities

" 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.

Assessment Method - Additional Information

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

Module 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

Module 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.

37

Industrial Application of Lasers

Module Name Industrial Application of Lasers

Module Code 137A5

Credit 10

Department Physics

Stage 9

Pass Mark 40

Module Level Postgraduate

Module Type X

Module 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

Module 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

38

Laser Applications and Engineering

Module Name Laser Applications and Engineering

Module Code B21LA

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, the learner will be able to: " Achieve a critical knowledge and understanding of the principal theories of high-power lasers " Achieve a critical knowledge of the operating characteristics and industrial applications of state-of-the-art lasers " Demonstrate a detailed knowledge and understanding of advanced design concepts and applications in solid state and gas laser systems " Integrate previous knowledge from the physics course with the topics discussed in the module " Analyse advanced problems in the physics of high-power lasers " Apply the theories of laser operation to problems or situations not previously encountered " Achieve a critical understanding of industry standard techniques and equipment

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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 " Be aware of issues regarding the deployment of laser systems

Assessment Method - Additional Information

Examination 100%

Module Topics

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 Introduction to high average power lasers Revision of laser theory - gain cross sections and gain saturation intensity. True cw lasers, quasi cw lasers and pulsed lasers. The carbon dioxide laser Review of gas discharge physics. - Excitation cross-sections and rates. - Electron energy distribution. - Relation between macroscopic and microscopic view of the discharge. Carbon dioxide molecular spectra. Carbon dioxide excitation and de-excitation process. Optimum discharge E/N. Diffusion cooled CO2 lasers:

39

- thermal limitation and gas temperature profile - new discharge geometry lasers. Fast flow CO2 lasers, Pulsed CO2 lasers. Solid state lasers Introduction to rare earth doped solids. Properties of host crystals. Ruby laser properties. Nd:YAG laser properties. Xenon flashlamps and krypton arc lamps. Lamp electrical circuit design. Lifetime limits of lamps. Pump chamber design. Power limitations of Nd:YAG rods. Thermal fracture, thermal lensing and birefringence.

Learning Resources

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.

Module Aim

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.

Elective Module NOT available as an elective

Syllabus

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 Introduction to high average power lasers Revision of laser theory - gain cross sections and gain saturation intensity. True cw lasers, quasi cw lasers and pulsed lasers. The carbon dioxide laser Review of gas discharge physics. - Excitation cross-sections and rates. - Electron energy distribution. - Relation between macroscopic and microscopic view of the discharge. Carbon dioxide molecular spectra. Carbon dioxide excitation and de-excitation process. Optimum discharge E/N. Diffusion cooled CO2 lasers: - thermal limitation and gas temperature profile - new discharge geometry lasers. Fast flow CO2 lasers, Pulsed CO2 lasers. Solid state lasers Introduction to rare earth doped solids. Properties of host crystals. Ruby laser properties. Nd:YAG laser properties. Xenon flashlamps and krypton arc lamps. Lamp electrical circuit design. Lifetime limits of lamps. Pump chamber design. Power limitations of Nd:YAG rods. Thermal fracture, thermal lensing and birefringence.

40

Lasers (St Andrews) or Lasers (DL) Lasers (St Andrews)

Module Name Laser Physics (St. Andrews)

Module Code B21LP

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 20

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

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

Learning Outcomes - Personal Abilities

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

Assessment Method - Additional Information

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

Module 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 module presents a description of the main physical concepts upon which an understanding of laser materials, operations, and applications can be based.

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

Elective Module NOT available as an elective

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 module is completed off-campus. Additional details are available from Professor Ajoy Kar ([email protected]) regarding timings and requirements. See next page for details.

41

Lasers (DL)

Module Name Lasers

Module Code B21LD

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 20

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, 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 module " Analyse advanced problems in laser physics " Apply the theories of lasers to problems or situations not previously encountered

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Coursework 100%

Module 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 modules EM and Laser Physics and Laser Device Engineering. This module is available in distance learning format only.

Module Aim

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

Elective Module Available as an elective

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

42

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.

43

Making Strategies Work

Module Name Making Strategies Work

Module Code H17MS

Version 100

Department Edinburgh Business School

Stage 9

Credit 20

Pass Mark 40

Module Level Postgraduate

Module Type A

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

44

Manufacturing Processes in MEMS

Module Name Manufacturing Processes in MEMS

Module Code B31TA

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" Critical understanding of the principal theories, principles and concepts relating to the use of manufacturing processes in the domain of Microsystems and devices. " Extensive, detailed and critical understanding of some specialist area within the domain, especially the UV LIGA technique. " Understanding and use of a significant range of the principal skills, techniques and practices in manufacturing technology, and a range of specialised skills, research and investigation techniques, and practices informed by leading-edge research and development. " A broad knowledge of the main areas of Microsystems manufacturing technology, including terminology, conventions, underpinning theory, techniques and practices. " Application-based knowledge and skills relating to the broad range of activities within manufacturing technology for microsystems, and specialist knowledge and skills in applications relating to a number of specialist areas within the domain. " Significant practical experience and skills in analysis, design, implementation and testing of appropriate hardware or software for Microsystems devices. " Extensive and detailed knowledge and understanding of Microsystems manufacturing technology and the ability to critically analyse and review such technologies to support original and creative application development.

Learning Outcomes - Personal Abilities

" Develop and apply skills in critical analysis, evaluation and synthesis in consideration of the range of theories, concepts and techniques in use within the domain of manufacturing processes in microsystems, and in the design of projects and experimental models. " Develop and utilise advanced problem-solving skills and techniques in the development of original and creative solutions to general and specialist issues within the domain of manufacturing for microenginering. " Develop and demonstrate skills and techniques in communication with peers and academic/industrial staff, using a range of appropriate methods to suit different levels of knowledge and expertise within the audience. " Develop and demonstrate critical knowledge and skills in the planning and usage of software tools and numerical techniques to develop, present and communicate information on projects and processes. " Demonstrate critical awareness of the current issues within the discipline, and make informed judgements with incomplete or inconsistent data, or where there are no professional/ethical codes or practices for guidance. " Work autonomously and within teams, as appropriate, demonstrating a capability for both taking and critically reflecting on roles and responsibilities

Assessment Method - Additional Information

Continuous assessment 20% Examination 80% Re-assessment, examination.

Module Topics

" Introduction to micro-engineering. Fundamentals of microfabrication: clean-room equipment, photolithography, thin film techniques, wet and dry etching, ion implantation, diffusion, oxidation, CVD and other deposition methods (MOCVD, PVD, LPE, MBE, Sol-gel), electroforming, assembly. Low temperature cofired ceramic (LTCC) manufacturing; sand blasting for ablation. " Silicon micromachining: silicon as a mechanical material, bulk and surface silicon micromachining, Wet etching (KOH, EDP), etch mechanisms, dry etching, X-Ray and UV-LIGA process: process steps, possibilities, materials, equipment for fabrication of LIGA products. Analytical Techniques: SEM, TEM, AES, SIMS, AFM, XRD, AFM, ellipsometric and interferometric methods. Product examples in microfluidics, micromechanics, micro-optics.

Module Aim

" Develop detailed knowledge and critical understanding of the core skills in manufacturing processes for microengineering. " Develop and use a significant range of principal and specialist skills, techniques and practices

45

in the domain of design and manufacture of Microsystems devices and components. " Critically review existing practice and develop original and creative solutions to problems within the domain from both hardware and software perspectives. " Communicate and work effectively with peers and academic staff in a variety of tasks, demonstrating appropriate levels of autonomy and responsibility.

46

Materials Growth and Fabrication

Module Name Materials Growth and Fabrication

Module Code B21MG

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 5

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, 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 module " Analyse problems in ultrafast photonics " Apply the understanding of materials growth to problems or situations not previously encountered

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Coursework 100%

Module 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 module is available in distance learning format only.

Module Aim

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

Elective Module Available as an elective

Syllabus

Semiconductor basics Doping Growth techniques Defects

47

Mergers and Acquisitions

Module Name Mergers and Acquisitions

Module Code H17MQ

Version 100

Department Edinburgh Business School

Stage 9

Credit 20

Pass Mark 40

Module Level Postgraduate

Module Type A

Authors

Prof Alex Roberts and Dr William Wallace

Format

Combined printed text with online course

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

48

Modern Optics (DL)

Module Name Modern Optics

Module Code B21FM

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

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.

Learning Outcomes - Personal Abilities

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.

Assessment Method - Additional Information

Examination 100% Reassessment: Examination 100%

Module 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.

Module 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.

Elective Module NOT available as an elective

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.

49

Nanochemistry Module Name Nanochemistry

Module Code B41NC

Version 100

Department School of Engineering & Physical Sciences (Chemical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" Appreciation of the potential and the limitations of nanochemistry. " Knowledge in modern analytical techniques in the nano-domain. " Understanding of applications of nanochemistry. " Understanding of the "bottom-up" approach and appreciation of the differences to "top-down" methods. " Appreciation of the impact of small physical dimensions of devices on their properties and performance.

Learning Outcomes - Personal Abilities

" Appreciation of the state-of-the-art issues and achievements in nanochemistry. " Appreciate the mergence of science and engineering in the nano-domain. " Develop the ability communicate with scientists and engineers in group projects. " Develop

Assessment Method - Additional Information

Examination 70% Coursework 30%

Module Topics

" Molecular and nano characterisation (e.g AFM) " Supramolecular chemistry (e.g. Molecular recognition, non-covalent interactions) " Introduction to "bottom up" approach to nanotechnology " Introduction of molecular sensors, electronics and devices (e.g switches, logic gates, wires, sensors) " Introduction to molecular machines (e.g. molecular rotors, muscles etc) " Advanced materials (e.g. nanocomposites) " Production of pragmatic nanofabricated systems (e.g. self-assembled structures, nanoparticles, nanotubes, LB films, patterned substrates)

Learning Resources The aim of this module is to provide students with a working knowledge of the principles and practices of modern nano-chemistry.

Module Aim The aim of this module is to provide students with a working knowledge of the principles and practices of modern nano-chemistry.

Elective Module NOT available as an elective

Syllabus

" Molecular and nano characterisation (e.g AFM) " Supramolecular chemistry (e.g. Molecular recognition, non-covalent interactions) " Introduction to "bottom up" approach to nanotechnology " Introduction of molecular sensors, electronics and devices (e.g switches, logic gates, wires, sensors) " Introduction to molecular machines (e.g. molecular rotors, muscles etc) " Advanced materials (e.g. nanocomposites) " Production of pragmatic nanofabricated systems (e.g. self-assembled structures, nanoparticles, nanotubes, LB films, patterned substrates)

50

Nanolaboratory

Module Name Nanolaboratory

Module Code B21NL

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, 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

Learning Outcomes - Personal Abilities

Personal abilities are embedded in the module. The module 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%

Module 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

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

Elective Module NOT available as an elective

Syllabus Carry out advanced, open-ended practicals in Nanotechnology Write formal reports on each experiment/computation, including a background literature

51

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

52

Nanophotonics

Module Name Nanophotonics

Module Code B21NT

Department School of Engineering & Physical Sciences (Physics)

Credit 15

Pass Mark 40

Module Level Undergraduate

Learning Outcomes - Subject Mastery

On completion of this module, 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 module " Analyse advanced problems in nanophotonics " Apply the theories of nano-scale photonic devices to problems or situations not previously encountered

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Examination 100%

Module 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

Module 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

53

Nanophysics

Module Name Nanophysics

Module Code B21NS

Department School of Engineering & Physical Sciences (Physics)

Credit 15

Pass Mark 50

Module Level Postgraduate

Learning Outcomes - Subject Mastery

On completion of this module, 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 module " Analyse advanced problems in nanophysics " Apply the theories of nano-scale devices to problems or situations not previously encountered

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Examination 100%

Module 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

Module 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)

54

Nanoscience Primer

Module Name Nanoscience Primer

Module Code B20NQ

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 10

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, 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 module topics and the transition from micro-scale to nano-scale " Integrate previous knowledge from the physics course with the topics discussed in the module " Analyse advanced problems in nano-science in physics, chemistry and engineering " Apply the theory of the module topics to problems or situations not previously encountered

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Examination 100%

Module 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 module 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.

Module Aim

This module 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.

Elective Module NOT available as an elective

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

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" 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

56

Negotiation

Module Name Negotiation

Module Code H17NG

Version 100

Department Edinburgh Business School

Stage 9

Credit 20

Pass Mark 40

Module Level Postgraduate

Module Type A

Author

Prof Gavin Kennedy

Format

Combined printed text with online course

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

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New Product and Process Development

Module Name New Product and Process Development

Module Code B81NP

Version 100

Department School of Engineering & Physical Sciences

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Learning Outcomes - Subject Mastery

" Critically and effectively analyse selected theories of product and process development and entrepreneurship. " Demonstrate an understanding of the theories of entrepreneurship and innovation through the application of principles and procedures appropriate to a range of situations around the creation of a new product and associated business venture. " 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. " Critically evaluate concepts and principles of entrepreneurship and enterprise application and development. " 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. " Ability to extract data pertinent to an unfamiliar problem covering a range of issues, " Gain a wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in an unfamiliar business context. " 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. " Have extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately to strategic and tactical issues in new product and process development. " Gain a thorough under

Learning Outcomes - Personal Abilities

" 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.

Assessment Method -

Coursework 100%

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Additional Information

Module Aim

" To introduce concepts and practices in product development and entrepreneurship, 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 comprises enterprise activity particularly in an engineering context. " To enhance student understanding of what comprises entrepreneurial behaviour with an emphasis on engineering application. " To enhance students' knowledge, understanding and awareness of the breadth of entrepreneurial activity - including the family business, public sector, funding, interfacing with other organisations and intrapreneurship. " 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. " To examine the role of innovation in economic and social development. " To increase student knowledge about applications of enterprise skills within company start-ups and other contexts.

Syllabus

Ideas and idea generation; 'The Entrepreneur - personality, drive and determination; ;SMEs, innovation and intellectual property; product and process development; evaluating alternatives; business planning processes; start-up funding and company finance; patenting; company structures and law; issues in 'Management and Leadership'; 'supporting enterprise'; alternative strategies in entrepreneurship.

59

Numerical Computation and Statistics in Engineering

Module Name Numerical Computation and Statistics in Engineering

Module Code B31UA

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" Critical understanding of numerical techniques and statistics " Critical understanding of probability theory and estimation theory " Critical awareness of statistical modelling issues " Application of numerical methods and statistics in solving engineering problems

Learning Outcomes - Personal Abilities

" Demonstrate the ability to use the appropriate techniques in the right context " Critical analysis of problems and design of solutions.

Assessment Method - Additional Information

Coursework 25% Examination 75% Re-assessment, examination

Module Topics

Numerical Computation: Numerical Methods: Solution of non-linear equations; numerical integration; numerical differentiation; interpolation and curve fitting techniques; initial value problems; optimisation techniques; search techniques. Statistics: Probability Theory: axioms of probability, conditional probability, Bayes' rule, random variables, conditional expectation, central limit theorem,Gaussian random variables Stochastic Processes: Markov chains, ergodicity, stationarity Bayesian Inference: statistical decision theory, hypothesis testing, discriminant functions and decision boundaries, classification, signal detection in noise Parameter Estimation: Maximum likelihood

Module Aim

" To develop a critical understanding of statistical data analysis and its application in science and engineering " To develop a knowledge of a significant range of optimisation techniques and their application to real-life problems " To significantly develop student's problem solving abilities and problem formalisation ability using the adapted tools. " To develop an extensive and detailed knowledge of the principle theories of numerical methods and their applications.

60

Optical Metrology

Module Name Optical Metrology

Module Code B21OI

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 5

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, 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 module " Analyse advanced problems in laser physics " Apply the theories of lasers to problems or situations not previously encountered

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Coursework 100%

Module 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 module is available in distance learning format only.

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

Elective Module Available as an elective

Syllabus

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

61

Organisational Behaviour

Module Name Organisational Behaviour

Module Code H11OB

Version 100

Department Edinburgh Business School

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Author

Prof Bob Dailey

Format

Combined printed text with online course

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

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Photonics Applications

Module Code B21PA

Department School of Engineering & Physical Sciences (Physics)

Credit 10

Pass Mark 40

Module Level Undergraduate

Learning Outcomes - Subject Mastery

Understanding, Knowledge and Subject-Specific Skills The derivation (using calculus methods) and application of the kinematic relationships. An understanding of relativistic motion. The derivation (using calculus methods) and application of the equations of angular motion. The understanding and application of terms and relationships in rotational dynamics. The understanding and application of terms and relationships in gravitation. The understanding and application of terms and relationships in simple harmonic motion. An understanding of Wave-particle duality.

Learning Outcomes - Personal Abilities

Cognitive Skills, Core Skills and Professional Awareness Cognitive skills: 1. Applying knowledge and understanding of Mechanics in a wide variety of theoretical and practical problem-solving contexts. Core Skills: 1. Critical thinking 2. Planning and organisation 3. Reviewing and evaluating 4. Using graphical information 5. Using number Professional awareness: 1. An interest in current developments in, and applications of, physics 2. A willingness to make critical and evaluative comment 3. An acceptance that physics is a changing subject 4. Fostering of an attitude of self-reliance and open-mindedness 5. A willingness to recognise alternative points of view.

Assessment Method - Additional Information

1. Formative assessment included in each Topic by means of one or two objective answer tests. Marked on-line with immediate feedback provided to the student. 2. Formative assessment included at the end of each Topic by means of a test consisting of objective and extended answer questions, with steps in some questions available for students who require them. Marked on-line with immediate feedback provided to the student. 3. Summative assessment included at the end of the module by means of an exam consisting of objective and extended answer questions.

Module Topics

Kinematics relationships Relativistic motion Angular velocity and acceleration Centripetal force Rotational dynamics Gravitational force and field Gravitational potential and satellite motion Simple harmonic motion Wave-particle duality Introduction to quantum mechanics

Learning Resources

1. Printed resource material, consisting of a SCHOLAR student Study Guide and a SCHOLAR Tutor's Handbook. 2. Web-based material, consisting of Course materials, animations and simulations, formative and summative CUE-based assessments, discussion board.

Module Aim

1. To assist students towards an understanding of the use of mathematical models and techniques used in Mechanics for describing the kinematics and mechanics. 2. To develop the principles of dynamics by showing a wide range of applications in engineering and science.

63

Photonics Experimental Laboratory 1 Module Name Photonics Experimental Laboratory 1 (St. Andrews)

Module Code B21SL

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

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

Learning Outcomes - Personal Abilities

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

Assessment Method - Additional Information

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

Module Topics The details are attached in St Andrews module descriptor for module "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.

Module 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.

Elective Module NOT available as an elective

Syllabus The details are attached in St Andrews module descriptor for module "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.

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Photonics Experimental Laboratory 2 Module Name Photonics Experimental Laboratory 2

Module Code B21HL

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

To obtain a knowledge and understanding of experimental methodology. To attain the skill of writing brief scientific reports.

Learning Outcomes - Personal Abilities

" Contribution to core knowledge expected of a professional physicist working in areas of optics and optical systems " The use of test equipment and measurement techniques used in photonics research and industry " Creating logical and structured reports and effective use of language to write technical reports and understand complex conceptual issues in analysing data " Use computer programmes for design, simulation and data analysis " Assessment of electrical and chemical hazard " Laser Safety and Classification of lasers.

Assessment Method - Additional Information

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

Module Topics

Three afternoons per week for 10 weeks is spent in dedicated specialist Optoelectronics teaching laboratory. The experiments already available - co-ordinating with the taught courses - are: Lasers Diode-pumped Nd lasers Mode control in lasers Resonator design Photonic Materials Semiconductor spectroscopy Carrier mobility measurements Atomic force microscopy Modern Optics Optical parametric oscillator Second harmonic generation Acousto-optic modulator Fourier Optics Optical time domain reflectometry Holography Multilayer dielectric films Optoelectronic Devices Semiconductor lasers, cw and pulsed Detector characteristics, LED characteristics Optical coms (modulation, detection) Erbium-doped fibre amplifiers Fibre optic sensors In addition to 1. Attend Optoelectronics in industry lectures, interact with industrialist and write a report on one of the industrial lectures. 2. Present a poster during industrial advisory committee meetings.

Learning Resources To provide experience of setting up and using a wide range of optoelectronic equipment, writing formal reports and interaction with industrialists.

Module Aim To provide experience of setting up and using a wide range of optoelectronic equipment, writing formal reports and interaction with industrialists.

Elective Module NOT available as an elective

Syllabus Three afternoons per week for 10 weeks is spent in dedicated specialist Optoelectronics teaching laboratory. The experiments already available - co-ordinating with the taught

65

courses - are: Lasers Diode-pumped Nd lasers Mode control in lasers Resonator design Photonic Materials Semiconductor spectroscopy Carrier mobility measurements Atomic force microscopy Modern Optics Optical parametric oscillator Second harmonic generation Acousto-optic modulator Fourier Optics Optical time domain reflectometry Holography Multilayer dielectric films Optoelectronic Devices Semiconductor lasers, cw and pulsed Detector characteristics, LED characteristics Optical coms (modulation, detection) Erbium-doped fibre amplifiers Fibre optic sensors In addition to 1. Attend Optoelectronics in industry lectures, interact with industrialist and write a report on one of the industrial lectures. 2. Present a poster during industrial advisory committee meetings.

66

Polymers and Liquid Crystals (old format of descriptor)

Module Name Polymers and Liquid Crystals

Module Code B21LC

Responsible Person Dr Ifor Samuel

Department St Andrews

Stage 11

Credit 5

Pass Mark 50

Module Level Postgraduate

Assessment Method - Additional Information

Written Examination - 1 exam of 1.5 hours or the equivalent

Module 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

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

67

Principles of Mobile Communications

Module Name Principles of Mobile Communications

Module Code B31SI

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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

Learning Outcomes - Personal Abilities

" 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

Assessment Method - Additional Information

Examination 60% Coursework 40% Re-assessment, examination

Module 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.

Module 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

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Project Phase 1

Module Name MSc Project Phase 1

Module Code B31VY

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" Ability to refine a project proposal, developing, as appropriate, detailed requirements, preliminary design, and plans for testing and evaluation. " Ability to evaluate appropriate methodologies or technologies, critically reviewing these, and selecting those applicable to the project. " Technical skills, as specific to the area of the project. " Significant practical experience and skills in analysis, design, implementation and testing of hardware and or software project methodology. " Extensive and detailed knowledge and understanding of issues related to carrying out an extensive project and the ability to critically analyse and review such technologies to support original and creative application development.

Learning Outcomes - Personal Abilities

" Demonstrate critical awareness of current legal, social, ethical and professional issues within the discipline. " Make informed judgements with incomplete or inconsistent data, or where there are no professional or ethical codes or practices for guidance. " Work autonomously and within teams, as appropriate, demonstrating a capability for both taking and critically reflecting on roles and responsibilities. " Develop and demonstrate skills and techniques in communication with peers and academic/industrial staff, using a range of appropriate methods to suit different levels of knowledge and expertise within the audience. " Develop and demonstrate critical knowledge and skills in the planning and usage of software tools and numerical techniques to develop, present and communicate information on projects and processes.

Assessment Method - Additional Information

Continuous assessment 100% Re-assessment at discretion of exam board

Module Topics

The topics that will be considered in this module will include some or all of the following as required by the particular project being undertaken. a. Requirements of an MSc project b. Literature searching and referencing c. Project planning, timescales, deadlines d. Testing and evaluation planning. e. Role of supervisor, role of student f. Regular formal meetings between student and supervisor and the writing up of minutes of these to bring out the salient points g. The prioritising of tasks required for a project h. Moral/social/legal/ethical issues i. Tools required for a good project

Module Aim

This is a follow on module from the "Research Methods, Critical Analysis and Project Planning" module in semester 1. Students will apply the skills obtained in semester 1 to the individual project which continues after the semester 2 exams. The aims are: ? to enable students to further develop skills in the refinement of requirements and design for a substantial software or hardware oriented research project. ? Students are also expected to develop appropriate skills in critical analysis, examining prior work in the area of the project, and in technical writing.

69

Research Methods, Critical Analysis and Project Planning Module Name Research Methods, Critical Analysis and Project Planning

Module Code B31VX

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

Ability to write literature review which critically evaluates research and current technical developments against a stated aim. Ability to search for and critically evaluate the value of written and online material. A detailed understanding of general issues in experimental design, and how to to establish and verify a research hypothesis and/or scientific objectives. An ability to apply general methodologies for project planning, and more specific methodologies related to IT projects.

Learning Outcomes - Personal Abilities

A proper appreciation of current professional standards in documentation, and professional legal and ethical standards relevant to the IT and Engineering industry. Ability to work on a small project, planning and managing time. Ability to present work effectively to others, orally and written. An ability to use software tools appropriate to project planning and evaluation.

Assessment Method - Additional Information

Coursework 100%

Module Topics

" Research aims and objectives, literature search, critical analysis and review. " Technical writing. " Attribution and Collaboration " Project planning, testing, risk analysis, requirements and design. " Experimental design and evaluation. " Professional standards. " Legal, social, ethical and professional issues in IT and Engineering. " Application of these skills to a problem specific to the aims of the individual MSc course

Module Aim

" To enable students to develop skills in critical thinking, research planning, academic writing and experimental design appropriate for a post-graduate programme. " To enable students to gain skills in project planning and an awareness of legal, social and professional issues relevant for Engineering professionals. " Students will apply these skills to mini-projects/assignments of direct relevance to the aims of their individual MSc course

70

RF Mems (not currently available DL)

Module Name Rf Mems

Module Code B31TD

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" Critical understanding of the principal theories, principles and concepts relating to the use of RF MEMS in the domain of engineering and scientific applications. " Extensive, detailed and critical understanding of some specialist areas within the domain of applied engineering systems. " Understanding and use of a significant range of the principal skills, techniques and practices in RF MEMS and a range of specialised skills, research and investigation techniques, and practices informed by leading-edge research and development. " A broad knowledge of the main areas of RF MEMS at various frequencies, including terminology, conventions, underpinning theory, techniques and practices. " Fundamental knowledge and skills to deal with diverse and complex technological systems that exist in engineering and science disciplines and a critical understanding of the range of tools and techniques available to support this process. " A critical understanding of the relationships and interactions between the various components in a system (Hardware and software) to achieve the overall goal of the systems structure and operation.

Learning Outcomes - Personal Abilities

detailed knowledge of structured programming concepts and techniques, with advanced and specialist applicative skills in at least one programming language. ? Ability to work unsupervised on a wide range of concepts associated with RF MEMS

Assessment Method - Additional Information

Examination 80% Assignment 20% Re-assessment, examination

Module Topics

microwave and millimetre-wave technology : overview of traditional fabrication techniques, traditional microwave and RF devices. Issues in RF components for mobile communications and space applications : high-loss and low-Q characteristics of metal contacts. Dielectric losses in planar waveguides. Advantages of micro-engineered devices : low loss metellic structures, electrostatic actuation, low power devices, H high linearity devices, high quality factor, weight-volume-power product, integration into microelectronics fabrication processes. RF-MEMS devices : switches, phase-shifters, time-delay networks, antenna tuners, tuning filters through electrostatic controlled actuation. Applications: mobile communications , space applications, phase-array radars.

Module Aim

" Develop detailed knowledge and skills to deal with diverse and complex technological systems that exist in RF engineering and science disciplines and a critical understanding of the range of tools and techniques available to support this process. " Develop a critical understanding of the relationships and interactions between the various components in a system (Hardware and software) to achieve the overall goal of the systems structure and operation. " Develop and use a significant range of principal and specialist skills, techniques and practices in the domain of RF micro systems " Critically review existing practice and develop original and creative solutions to problems within the domain. " Communicate and work effectively with peers and academic staff in a variety of tasks, demonstrating appropriate levels of autonomy and responsibility. " Plan and execute a significant project of research, investigation or development in a specialist area, demonstrating extensive, detailed and critical understanding of that specialism.

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RF Mobile Communication Systems

Module Name RF Mobile Communication Systems

Module Code B31SH

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

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.

Learning Outcomes - Personal Abilities

" 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.

Assessment Method - Additional Information

Examination 90% Coursework 10% Re-assesment, examination

Module 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.

Module Aim

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

72

Semiconductor Optoelectronics

Module Name Semiconductor Optoelectronics

Module Code B20SO

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 10

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

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 ionization. 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.

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Examination 100%

Module Topics

Semiconductor physics - Fermi Level, density of states, doping, recombination mechanisms, pn 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, pn, p-i-n photodiodes, and avalanche photodiodes. Noise in semiconductor detectors and amplifiers.

Learning Resources

To provide linkage between knowledge of optics, semiconductors and electronics gained in Levels 1-3, as well as linking to Level 4 module Fibre Optic Communications. The module will provide an investigation of practical aspects of semiconductor optoelectronic device design and manufacture.

Module Aim

To provide linkage between knowledge of optics, semiconductors and electronics gained in Levels 1-3, as well as linking to Level 4 module Fibre Optic Communications. The module will provide an investigation of practical aspects of semiconductor optoelectronic device design and manufacture.

Elective Module NOT available as an elective

Syllabus Semiconductor physics - Fermi Level, density of states, doping, recombination mechanisms,

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pn 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, pn, p-i-n photodiodes, and avalanche photodiodes. Noise in semiconductor detectors and amplifiers.

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Semiconductor Physics and Devices (DL)

Module Name Photonics Applications (St. Andrews)

Module Code B21SD

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

The details are attached in St Andrews module descriptor for module "Photonics Applications", code PH5183

Learning Outcomes - Personal Abilities

The details are attached in St Andrews module descriptor for module "Photonics Applications", code PH5183

Assessment Method - Additional Information

Case study associated with the industrial lectures; continuous assessment 15% Examination 85% Reassessment: Examination 100%

Module Topics

Students on this module choose to do two of the following three sections:- Microphotonics and Plasmonics This covers the Bragg effect, multilayer mirrors, defects causing confined cavity states, periodicity leading to bandstructure, scaling of bandstructure in reduced frequency, Bloch modes and photonic bandgap. It then considers photonic crystal waveguides, photonic crystal fibres, and supercontinuum generation in photonic crystal fibres. Plasmonics is based on oscillations of the free electrons in a metallic material. Resonances of Plasmons are the basis for a new class of materials called "Metamaterials". These are compared with photonic crystals. Applications include super-resolution imaging, optical cloaking, sensing, and surface enhanced Raman scattering. 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, Fermi gases, studies of Bose-Einstein condensation, and matter-wave interferometry.

Learning Resources

Familiarity with the application of photonics to selected key application areas. The ability to take known physics and work with it in "new" areas.

Module Aim Familiarity with the application of photonics to selected key application areas. The ability to take known physics and work with it in "new" areas.

Elective Module NOT available as an elective

Syllabus

Students on this module choose to do two of the following three sections:- Microphotonics and Plasmonics This covers the Bragg effect, multilayer mirrors, defects causing confined cavity states, periodicity leading to bandstructure, scaling of bandstructure in reduced frequency, Bloch modes and photonic bandgap. It then considers photonic crystal waveguides, photonic crystal fibres, and supercontinuum generation in photonic crystal fibres. Plasmonics is based on oscillations of the free electrons in a metallic material. Resonances of Plasmons are the basis for a new class of materials called "Metamaterials". These are

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compared with photonic crystals. Applications include super-resolution imaging, optical cloaking, sensing, and surface enhanced Raman scattering. 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, Fermi gases, studies of Bose-Einstein condensation, and matter-wave interferometry.

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Sensors and Actuators Module Name Sensors and Actuators

Module Code B31TE

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

" Critical understanding of the principal theories, principles and concepts relating to the use of actuation and sensing in the domain of Microsystems engineering and scientific applications. " Extensive, detailed and critical understanding of some specialist areas within the domain of actuation and sensing for microsystems. " Understanding and use of a significant range of the principal skills, techniques and practices in sensing and actuation, and a range of specialised skills, research and investigation techniques, and practices informed by leading-edge research and development. " A broad knowledge of the main areas of actuation and sensing techniques. " Application-based knowledge and skills relating to the broad range of activities within the actuation and sensing domains, and specialist knowledge and skills in applications relating to a number of specialist areas within the domain. " Fundamental knowledge and skills to deal with diverse and complex technological systems that exist in engineering and science disciplines and a critical understanding of the range of tools and techniques available to support this process. " A critical understanding of the relationships and interactions between the various components in a system (Hardware and software) to achieve the overall goal of the systems structure and operation.

Learning Outcomes - Personal Abilities

" Develop and apply skills in critical analysis, evaluation and synthesis in consideration of the range of theories, concepts and techniques in use within the domain of actuationand sensing, and in the design of projects and experimental models. " Abilities to critically understand and apply relevant theories and technologies to developing analytical and design skills " Develop and utilise advanced problem-solving skills and techniques in the development of original and creative solutions to general and specialist issues within the domain of Microsystems engineering. " Develop and demonstrate skills and techniques in communication with peers and academic/industrial staff, using a range of appropriate methods to suit different levels of knowledge and expertise within the audience. " Develop and demonstrate critical knowledge and skills in the planning and usage of software tools and numerical techniques to develop, present and communicate information on projects and processes. " Demonstrate critical awareness of the current issues within the discipline, and make informed judgements with incomplete or inconsistent data, or where there are no professional/ethical codes or practices for guidance. " Work autonomously and within teams, as appropriate, demonstrating a capability for both taking and critically reflecting on roles and responsibilities.

Assessment Method - Additional Information

Continuous assessment 20% Examination 80% Re-assessment, examination

Module Topics

Microsystem fundamentals: scaling laws; mechanical failure mechanisms; Examples of FMEA for MEMS. Principles of actuation; Forces in micromechanics: elastic forces, surface tension forces, electrostatic forces, electromagnetic forces, thermal and piezoelectric forces; Design of a sensor using CAD tools. Dynamics of structures: mass spring damper system. Fundamentals of microfluidics: turbulent and laminar flows, hydrostatics, microchannels and bends; Friction in Microsystems; Different sensor types and examples: chemical sensors; optical sensors, sensors based on

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fibre optics; bio chemical sensors; biological sensors; Inertial Sensors; magnetic principle sensors.

Module Aim

Develop detailed knowledge and skills to deal with diverse and complex technological systems that exist in microsystems engineering and a critical understanding of the range of tools and techniques available to support this process. " Develop a critical understanding of the relationships and interactions between the various components in a microsystem (Hardware and software) to achieve the overall goal of the systems structure and operation. " Develop and use a significant range of principal and specialist skills, techniques and practices in the domain of actuation and sensing issues. " Critically review existing practice and develop original and creative solutions to problems within the domain. " Communicate and work effectively with peers and academic staff in a variety of tasks, demonstrating appropriate levels of autonomy and responsibility. " Plan and execute a significant project of research, investigation or development in a specialist area, demonstrating extensive, detailed and critical understanding of that specialism.

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Software Engineering 1

Module Name Software Engineering 1

Module Code B30PA

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 10

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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.

Learning Outcomes - Personal Abilities

" Develop skills in a Unix environment. " 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

Assessment Method - Additional Information

Computer Based Programming Examination 60% Coursework 40% Reassessment: Coursework 100%

Module Topics

Introduction to Unix Environment C++ Programming Concepts of Object Orientated Programming Classes, Methods, Constructors. Destructors, public, private, friends Control constructs; Iteration; Functions; Arrays; Pointers; File Input & Output; Comparison of OO and functional programming Software Engineering Principles Software Development models; Requirements analysis and specification; Design - Functional & Object-orientated; Implementation; Validation and verification; Organising software projects; Case studies More about Programming in a UNIX environment Integrated Development Environments; Shell programming and shell scripts; make files

Learning Resources

" 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.

Module 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.

Elective Module NOT available as an elective

Syllabus

Introduction to Unix Environment C++ Programming Concepts of Object Orientated Programming Classes, Methods, Constructors. Destructors, public, private, friends

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Control constructs; Iteration; Functions; Arrays; Pointers; File Input & Output; Comparison of OO and functional programming Software Engineering Principles Software Development models; Requirements analysis and specification; Design - Functional & Object-orientated; Implementation; Validation and verification; Organising software projects; Case studies More about Programming in a UNIX environment Integrated Development Environments; Shell programming and shell scripts; make files

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Software Engineering 2

Module Name Software Engineering 2

Module Code B31PB

Version 100

Department School of Engineering & Physical Sciences (Electrical Engineering)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" Extensive, detailed and critical awareness of the nature, scope and boundaries of OO programming & design applied to C++ and Java " Transferable OO programming techniques (from C++ to Java) " Consolidation of C++ programming skills

Learning Outcomes - Personal Abilities

" Requirement capture, problem analysis and decomposition. " Structured analysis and development of resources. " Teamwork and leadership, Critical analysis

Assessment Method - Additional Information

Examination 40% Coursework 60% Re-assessment, examination

Module Topics

" Extension of OO programming methodology Function & Operators overloading, friends functions Inheritance and Virtual Functions Templates, Standard Template Library Multi-threading, real time applications " Software Engineering Software Design, UML " Transferable skills : Introduction to another OO language, JAVA Comparison with C++ Applets.

Module Aim

To have a detailed understanding of the solution of electromagnetic boundary problems such as waveguides and cavity resonators To be able to critically analyse modal behaviour of waveguides, waveguide dispersion, waveguide impedance. A detailed knowledge of wave scattering in discontinuous structures, scattering parameters, simple scattering networks

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Specialist Engineering Technology 1

Module Name Specialist Engineering Technology 1

Module Code B51GS

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

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.

Learning Outcomes - Personal Abilities

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.

Assessment Method - Additional Information

Report 100%

Module 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.

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

Elective Module NOT available as an elective

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.

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Specialist Engineering Technology 2

Module Name Specialist Engineering Technology 2

Module Code B51GT

Version 100

Department School of Engineering & Physical Sciences (Mechanical Engineering)

Stage 11

Credit 15

Pass Mark 40

Module Level Undergraduate

Module Type A

Learning Outcomes - Subject Mastery

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.

Learning Outcomes - Personal Abilities

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%

Module 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.

Module 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.

Elective Module NOT available as an elective

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

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Strategic Planning

Module Name

Strategic Planning

Module Code

H11SP

Version 100

Department Edinburgh Business School

Stage 11

Credit 20

Pass Mark 50

Module Level

Postgraduate

Module 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

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Strategic Risk Management

Module Name Strategic Risk Management

Module Code H17RK

Version 100

Department Edinburgh Business School

Stage 9

Credit 20

Pass Mark 40

Module Level Postgraduate

Module Type A

Authors

Prof Alex Roberts, Dr William Wallace and Mr Neil McClure

Format

Combined printed text with online course

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

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Ultrafast Photonics

Module Name Ultrafast Photonics

Module Code B21UF

Version 100

Department School of Engineering & Physical Sciences (Physics)

Stage 11

Credit 5

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

On completion of this module, 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 module " Analyse advanced problems in ultrafast photonics " Apply the theories of ultrafast photonics to problems or situations not previously encountered

Learning Outcomes - Personal Abilities

Personal abilities are embedded in 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

Coursework 100%

Module 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 modules on Lasers (B21LP, B21LD) and Displays and Non-Linear Optics(B21DN). This module is available in distance learning format only.

Module Aim

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

Elective Module Available as an elective

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.

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Virtual Environments

Module Name Virtual Environments

Module Code F21VE

Version 100

Department School of Mathematical & Computer Sciences (Computer Science)

Stage 11

Credit 15

Pass Mark 50

Module Level Postgraduate

Module Type A

Learning Outcomes - Subject Mastery

" 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

Learning Outcomes - Personal Abilities

" 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

Assessment Method - Additional Information

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

Module 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 " Module summary and review

Module 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