CONTENTS 1. Introduction 1.1 Course Outline 1 1.2 Introduction ...

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Assessment criteria: The extent to which the student is able to demonstrate an ability to: • Derive equations and relationships. • Prove selected theorems from first principles or as directed. • Use theorems and properties in numerical examples. • Calculate or compute Fourier transforms and convolutions and interpret the results. • Use matrix algebra to analyse geometric and other transformations. • Use linear regression on experimental data. • Construct Monte-Carlo models and implement them, and then to critically appraise the outcomes. Assessment Methods and Weightings: Written examination: 50%, Coursework: 50%. Sources: Essential reading: D.W.Jordan and P.Smith, Mathematical Techniques, 2 nd ed., Oxford University Press, Oxford (1998). J.James, A Students Guide to Fourier Transforms with Applications in Physics and Engineering, Cambridge University Press,(1995). Further reading: A. Gleason (translator) et al., Who is Fourier A Mathematical Adventure, Transnational College of LEX, Blackwell Science (1995). R.N. Bracewell, The Fourier Transform and its Applications, McGraw-Hill, London . DPI_Hbook 72 ©University of Westminster
Full Module Title: MATLAB Programming Short Module Title: MATLAB Module Code: 2DPI515 Module Level: 5 Academic credit weighting: 15 credits. Length: 1 semester School: Media, Art and Design. Department: Photographic and Digital Media Module Leader: Sophie Triantaphillidou Extension: 4584 Host Course: BSc (Hons) Photography and Digital Imaging Status: Option Pre-requisites: None. Co-requisites: None. Assessment: Practical work 100% Summary of Module content: The principles of computer programming are presented in module in MATLAB, which is both a powerful computational environment and a programming language that easily handles matrix and complex arithmetic. Module Aims: • To provide an understanding of the principles of computer programming • To enable the student to create simple programs to carry out mathematical operations, basic signal processing and data analysis in a MATLAB environment. Learning Outcomes: On completion of the module the successful student will be able to: 1. Understand the basic principles of computer programming. 2. Write simple commuter programs in MATLAB language. 3. Perform mathematical operations in MATLAB. 4. Use MATLAB commands to model basic signal processes. 5. Perform simple data analysis and plot results in MATLAB. 6. Plan simple projects. Indicative syllabus content: Introduction to programming: Operators, input/output, processes, decisions, loops, and conditional statements. MATLAB basics: Command window, variables, numbers and arithmetic expressions, rational and logical operators, cells, arrays and structures, character strings. MATLAB functions: Basic trigonometric, statistical functions, vector and matrix operations, vector and array manipulation. Loops and conditional statements: For loops, while loops, switch-case and if statements. Graphic and related issues: 2-D plots, 3-D, use of pseudocolour for visualisation, multi-panel figures. Functions: MATLAB m-files, function workspaces. Teaching and Learning Methods: The module consists of lectures, supported by laboratory based practical work in the ratio of 1:2. Assessment Rationale: The module is assessed 100% from coursework, which will involve the submission of three programs written in MATLAB language. (Learning outcomes 1-6). Assessment Criteria: DPI_Hbook 73 ©University of Westminster
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CONTENTS 1. Introduction 1.1 Course
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THE UNIVERSITY OF WESTMINSTER SCHOO
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(xii) (xiii) (xiv) To educate gradu
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student will have begun their resea
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2.4 POSSIBLE PHOTOSCIENCE ROUTE Yea
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2.6 Calendar Weeks are numbered in
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3. Learning Outcomes 3.1 Year One T
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• Describe informatively the fund
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4. Subject Benchmarks Subject bench
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Skills Chart for BSc(HONS) Photogra
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5.4 Personal Development Planning A
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Page 51 and 52: Full Module Title: METHODS IN PHOTO
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