Modern Engineering Mathematics, 6th edition

Published by Pearson (March 30, 2020) © 2020

  • Glyn James Coventry University
  • Phil Dyke University of Plymouth
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  • A print copy
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  • 1200+ exercises
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Features

  • 1200+ exercises
  • R software has been used within examples
  • Fully worked examples

For first-year undergraduate modules in Engineering Mathematics

Develop core understanding and mathematics skills within an engineering context.

Modern Engineering Mathematics, 6th Edition by Professors Glyn James and Phil Dyke, draws on the teaching experience and knowledge of three co-authors, Matthew Craven, John Searl and Yinghui Wei, to provide a comprehensive course textbook explaining the mathematics required for students studying first-year engineering. No matter which field of engineering they will go on to study, this text provides a grounding of core mathematical concepts illustrated with a range of engineering applications. Its other hallmark features include its clear explanations and writing style, and the inclusion of hundreds of fully worked examples and exercises which demonstrate the methods and uses of mathematics in the real world. Woven into the text throughout, the authors put concepts into an engineering context, so students can understand the relevance of mathematical techniques and gain a fuller appreciation of how to draw upon them in their studies and future careers.

Samples

Download the detailed table of contents >

Preview sample pages from Modern Engineering Mathematics >

  • Chapter 1 Number, Algebra and Geometry
  • Chapter 2 Functions
  • Chapter 3 Complex Numbers
  • Chapter 4 Vector Algebra
  • Chapter 5 Matrix Algebra
  • Chapter 6 An Introduction to Discrete Mathematics
  • Chapter 7 Sequences, Series and Limits
  • Chapter 8 Differentiation and Integration
  • Chapter 9 Further Calculus
  • Chapter 10 Introduction to Ordinary Differential Equations
  • Chapter 11 Introduction to Laplace Transforms
  • Chapter 12 Introduction to Fourier Series
  • Chapter 13 Data Handling and Probability Theory
  • Appendix I Tables
  • Answers to Exercises

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