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Essential Maths for Geoscientists – An Introduction
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Essential Maths for Geoscientists – An Introduction : An Introduction

Book Details

Format Paperback / Softback
ISBN-10 0470971940
ISBN-13 9780470971949
Publisher John Wiley and Sons Ltd
Imprint Wiley-Blackwell
Country of Manufacture SG
Country of Publication GB
Publication Date May 7th, 2014
Print length 224 Pages
Weight 410 grams
Dimensions 24.40 x 17.10 x 1.10 cms
Product Classification: MathematicsEarth sciences
Ksh 6,650.00
Werezi Extended Catalogue 0 in stock

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* An accessible, student-friendly introduction to mathematics for geoscientists . * A concise text that provides the student with the essential maths necessary to complete an undergraduate degree in Geosciences.
Essential Maths for Geoscientists An Introduction Essential Maths for Geoscientists: An Introduction is an accessible, student-friendly introduction to the mathematics required by those students taking degree courses within the geosciences. Clearly structured throughout, this book carefully guides students step by step through the first mathematics they will encounter and provides numerous applied examples throughout to enhance students’ understanding and to place each technique in context. Opening with a chapter explaining the need for studying mathematics within geosciences, this book then moves on to cover algebra, solving equations, logarithms and exponentials, uncertainties, errors and statistics, trigonometry, vectors and basic calculus. The final chapter helps to bring the subject all together and provides detailed applied questions to test students’ knowledge. Worked applied examples are included in each chapter along with applied problem questions which are a mix of straightforward maths questions, word questions and more involved questions that involve the manipulation and interpretation of real and synthetic data. The emphasis in the book is on the application of relatively rudimentary mathematics to real-life scientific problems within the geosciences, enabling students to make use of current-day research problems and real datasets.

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