
Core Maths for the Biosciences, 1st Edition
$213.23
- Paperback
608 pages
- Release Date
9 April 2011
Summary
Unlock the Language of Life: Core Maths for the Biosciences
Biological systems thrive on mathematical principles. From enzyme kinetics to predator-prey dynamics, maths is the key to understanding life’s complexities. This book, “Core Maths for the Biosciences,” equips you with the essential mathematical tools needed to excel in your bioscience journey.
Starting with arithmetic and algebra fundamentals, it guides you through increasingly sophisticated concepts, culminating in…
Book Details
ISBN-13: | 9780199216345 |
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ISBN-10: | 0199216347 |
Author: | Martin B. Reed |
Publisher: | Oxford University Press |
Imprint: | Oxford University Press |
Format: | Paperback |
Number of Pages: | 608 |
Edition: | 1st |
Release Date: | 9 April 2011 |
Weight: | 1.41kg |
Dimensions: | 265mm x 196mm x 27mm |
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What They're Saying
Critics Review
“Fantastic. Easy to understand, interactive, biologically relevant and dictated in a way that seemed as though you are almost having a conversation with the author.” - Student, University of Oxford “Coherent and clear. The best I have seen this kind of material treated.” - Stephen Hubbard, University of Dundee
About The Author
Martin B. Reed
Dr. Martin Reed is a lecturer in the Department of Mathematical Sciences at the University of Bath, and was for the last five years its Director of Teaching. He has taught maths in universities since 1973, both in the UK and overseas (Swaziland, Papua New Guinea, Tanzania); the latter experience has developed his ability to explain subtle concepts in simple, clear language. Prior to his position at Bath, Martin was a member of the Biosciences Department at BrunelUniversity, where he taught core skills to all first year students. Martin’s research interests are in numerical methods and optimization. He has lately worked in the field of evolutionary computation, where biological principles such as natural selection and swarm intelligence are used as inspiration for computer algorithms which can solve challenging practical problems.
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