Reed | Core Maths for the Biosciences | Buch | 978-0-19-921634-5 | sack.de

Buch, Englisch, 608 Seiten, Format (B × H): 196 mm x 265 mm, Gewicht: 1442 g

Reed

Core Maths for the Biosciences


1. Auflage 2011
ISBN: 978-0-19-921634-5
Verlag: Oxford University Press

Buch, Englisch, 608 Seiten, Format (B × H): 196 mm x 265 mm, Gewicht: 1442 g

ISBN: 978-0-19-921634-5
Verlag: Oxford University Press


Biological systems are often best explored and explained using the power of maths - from the rate at which enzymes BIOL15SDAessential life processes, to the way populations ebb and flow as predators and prey interact. Mathematical tools lie at the heart of understanding biological systems - and mathematical skills are essential for success as a bioscientist.

Core Maths for the Biosciences introduces the range of mathematical concepts that bioscience students may encounter - and need to master - during the course of their studies. Starting from fundamental concepts of arithmetic and algebra, the book blends clear explanations and biological examples throughout as it takes the reader towards some of the most sophisticated yet elegant mathematical tools in use by biologists today: differential equations, dynamical systems and chaos theory.

Three case studies appear in instalments throughout the text, illustrating the theory: Models of Population Growth, Models of Cancer, and Predator-Prey Relationships.

Reflecting the use of maths in modern biology, the book shows how computational approaches are applied to probe biological questions, and makes extensive use of computer support to help readers develop intuitive mathematical skills - both through graph-plotting software, and interactive Excel® workbooks for each chapter.

Core Maths for the Biosciences is the ideal course companion as you master the mathematical skills you need to complete your undergraduate studies and will remain a valuable resource at professional and research level.

Online Resource Centre
The Online Resource Centre to accompany Core Maths for the Biosciences features

For registered adopters of the book:

Figures from the book in electronic format
Solutions to all end of chapter exercises

For students:

Solutions to half of the end of chapter exercises
For PC users, access to FNGraph, the graph-plotting software featured in the book, and associated graph files
An extensive range of interactive Excel workbooks, to help you master the concepts presented in the book through hands-on learning
- Links to useful learning resources on other web sites

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Autoren/Hrsg.


Weitere Infos & Material


Part 1: Arithmetic, Algebra & Functions
1: Arithmetic and Algebra
2: Units, Precision and Accuracy
3: Data tables, graphs, interpolation
4: Molarity and dilutions
5: Variables, functions and equations
6: Linear functions and curve sketching
7: Quadratic and Polynomial Functions
8: Fitting curves; rational and inverse functions
9: Periodic functions
10: Exponential and logarithmic functions
Part 2: Calculus and Differential Equations
11: Instantaneous rate of change: the derivative
12: Rules of differentiation
13: Applications of differentiation
14: Techniques of integration
15: The definite integral
16: Differential equations I
17: Differential equations II
18: Extension: dynamical systems


Reed, Martin B.
Martin B. Reed, Department of Mathematical Sciences, University of Bath
Dr Martin Reed is a lecturer in the Department of Mathematical Sciences at the University of Bath, and was for the last five years ist 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 Brunel University, 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.

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 Brunel University, 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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