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

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