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Maths for Science

Sally Jordan, Shelagh Ross, and Pat Murphy

Publication Date - March 2013

ISBN: 9780199644964

400 pages

In Stock

Retail Price to Students: $84.99

The ideal text for equipping students with the knowledge and skills to tackle the mathematical aspects of a science course with confidence


Math is a tool for representing and investigating the nature of the real world: it can simplify the huge complexity of natural processes, enabling us to make predictions and test assumptions. Without math, the process of scientific enquiry would quickly stall. Yet, for many, math is seen as a daunting, theory-filled subject, with little relevance to the real world.

This book overturns these misconceptions by providing a confidence-boosting overview of essential mathematical skills and techniques. With examples and practice problems throughout, it shows in a clear, unintimidating style why math is so important to the study of science, and encourages students to develop the essential skills for themselves.

Building from the foundations of math--numbers, fractions, and units and scales of measurement--the book leads students through a range of widely used skills and concepts (e.g., equations, logarithms, differentiation, and probability and statistics), providing a complete course of essential math for science.

* Extensive examples and questions encourage active learning
* Focuses on the relevance of math to science in the real world
* Clear writing style

COMPANION WEBSITE (www.oup.com/uk/orc/bin/9780199644964)
* For instructors: Contains figures from the book in electronic format (available to registered adopters of the text)
* For students: Includes additional exercises with solutions and a flashcard glossary

Table of Contents

    1. Starting Points
    2. Measurement in Science
    3. Calculating in Science
    4. Unit Conversions
    5. Algebra
    6. Putting Algebra to Work
    7. Graphs and Gradient
    8. Rate of Change and Differentiation
    9. Angles and Trigonometry
    10. Logarithms
    11. Probability and Descriptive Statistics
    12. Statistical Hypothesis Testing