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Mathematics is crucial to all aspects of engineering and technology. Understanding key mathematical concepts and applying them successfully to solve problems are vital skills every engineering student must acquire. This text teaches, applies and nurtures those skills.

Mathematics for Engineers is informal, accessible and practically oriented. The material is structured so students build up their knowledge and understanding gradually. The interactive examples have been carefully designed to encourage students to engage fully in the problem-solving process.

MyMathLab® is a series of text-specific, easily customizable online courses for Prentice Hall textbooks in mathematics and statistics. Powered by CourseCompass™ (Pearson Education’s online teaching and learning environment) and MathXL® (our online homework, tutorial, and assessment system), MyMathLab gives you the tools you need to deliver all or a portion of your course online, whether your students are in a lab setting or working from home.

Complete and comprehensive coverage of all essential areas of first year engineering mathematics

·  Hundreds of fully worked, wide ranging examples from many branches of engineering

·  Interactive style and examples that engage and involve the reader

·  Content divided into self-contained blocks for ease of study

·  Key points and important results highlighted throughout

·  A wealth of practice and revision exercises with solutions

·  Computer and calculator examples and exercises covering a broad range of software

Table of Contents

Guided Tour

Publisher's acknowledgements

Preface

Using mathematical software packages

1. Arithmetic
2. Fractions
3. Decimal numbers
4. Percentage and ratio
5. Basic algebra
6. Functions
7. Polynomial equations, inequalitites, partial fractions and proportionality
8. Logartihms and exponentials
9. Trigonometry
10. Further trigonometry
11. Complex numbers
12. Matrices and determinants
13. Using matrices and determinants to solve equations
14. Vectors
15. Differentiation
16. Techniques and applications of differentiation
17. Integration
18. Applications of integration
19. Sequences and series
20. Differential equations
21. Functions of more than one variable and partial differentiation
22. The Laplace transform
23. Statistics and probability
24. An introduction to Fourier series and the Fourier transform

Typical examination papers

Appendix: SI units and prefixes

Index

Book with access code