Algebra for Science and Engineering Students

Author:   E. H. Lockwood
Publisher:   Cambridge University Press
ISBN:  

9781316612736


Pages:   114
Publication Date:   28 July 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Algebra for Science and Engineering Students


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Overview

Originally published in 1940, this book was aimed at students of science who had not previously been acquainted with algebra and the core mathematical principles. 'It is quite wrong that science students, particularly biology students, should go to their universities without having been made aware of even the existence of a side of mathematics whose importance is becoming more and more apparent'. The book caters for students who wish to develop their mathematical and reasoning skills, necessary to progress in the sciences. Chapters are broad in scope, detailed and varied; chapter titles include, 'The theory of quadratic equations', 'Probability' and 'Statistics'. A multitude of examples are included throughout to reinforce learning and answers can be found at the back. Providing an overview of algebra for school students before entering undergraduate science, this book will be of significant value to anyone with an interest in mathematics and the history of education.

Full Product Details

Author:   E. H. Lockwood
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 14.00cm , Height: 0.70cm , Length: 21.70cm
Weight:   0.300kg
ISBN:  

9781316612736


ISBN 10:   1316612732
Pages:   114
Publication Date:   28 July 2016
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface; 1. Indices, logarithms and surds; 2. Variation; 3. The theory of quadratic equations; 4. Factors and some developments; 5. Permutations and combinations; 6. The binomial theorem (for a positive integral index); 7. Probability; 8. Finite series; 9. Infinite series; 10. Statistics; Answers; Index.

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