Foundation Mathematics for Biosciences, 1st edition

Published by Pearson (November 2, 2016) © 2017

  • Jackie Willis School of Life Sciences, University of Hertfordshire
  • Ela Bryson School of Life Sciences, University of Hertfordshire
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Foundation Mathematics for Biosciences provides an accessible and clear introduction to mathematical skills for students of the biosciences.  The book chapters cover key topic areas and their associated techniques, thereby presenting the maths in context. A student focused pedagogical approach will help students build their confidence, develop their understanding and learn how to apply mathematical techniques within their studies. Students will be able to use the book as a resource to complement their theory-based textbooks and to prepare themselves for practical classes, tutorials and research projects.

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  • Chapter 1  Basic arithmetic skills
  • 1.1  Elementary Arithmetic Calculations
  • 1.2  Indices, BODMAS and Use of Equations
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  • Chapter 2  Fractions and Decimals
  • 2.1  Use of Fractions
  • 2.2  Decimal Fractions, Approximation and Scientific Notation
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  • Chapter 3 Units
  • 2.1 SI Units
  • 2.2 Interconversion of units
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  • Chapter 4  Ratios and Percentages
  • 4.1 Ratios and Proportions
  • 4.2  Percentages
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  • Chapter 5  Logarithms
  • 5.1 Rules of Logarithms
  • 5.2 Application of Logarithms
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  • Chapter 6  Solutions and Dilutions
  • 6.1 Moles and Molarity
  • 6.2 Dilutions and Serial Dilutions
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  • Chapter 7  Measurements in Biology
  • 7.1 Cell Biology and Microbiology
  • 7.2 Physiology and Pharmacology
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  • Chapter 8  Analytical Biology
  • 8.1 Analytical Methods
  • 8.2 Chromatographic Techniques
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  • Chapter 9 Molecular Biology
  • 9.1 DNA Analysis
  • 9.2 Protein Analysis
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  • Chapter 10 Enzyme Kinetics
  • 10.1 Michaelis-Menten Equation
  • 10.2 Enzyme inhibition and Cooperative Binding
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  • Chapter 11  Statistics
  • 10.1 Descriptive statistics
  • 10.2 Statistical testing
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  • Chapter 12  Graphs and Charts
  • 11.1 Presenting Data using Graphs and Charts
  • 11.2 Correlation and Regression

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