 |
|
 |
|
 |
 |
 |
 |
 |
 |
|
 |
|
Key Features
- Provides a complete guide for development of quantification skills crucial for applying mathematical methods to biological problems
- Includes well-known examples from across disciplines in the life sciences including modern biomedical research
- Explains how to use data sets or dynamical processes to build mathematical models
- Offers extensive illustrative materials
- Written in clear and easy-to-follow language without assuming a background in math or biology
- A laboratory manual is available for hands-on, computer-assisted projects based on material covered in the text
|
About the Book
Essential for all biology and biomathematics courses, this textbook provides students with a fresh perspective of quantitative techniques in biology in a field where virtually any advance in the life sciences requires a sophisticated mathematical approach. An Invitation to Biomathematics, expertly written by a team of experienced educators, offers students a solid understanding of solving biological problems with mathematical applications. This text succeeds in enabling students to truly experience advancements made in biology through mathematical models by containing computer-based hands-on laboratory projects with emphasis on model development, model validation, and model refinement.
The supplementary work, Laboratory Manual of Biomathematics is available separately ISBN 0123740223, or as a set ISBN: 0123740290) Approx. 220 illustrations
Readership courses in mathematical biology, as well as in general mathematics and biology courses that cover the application of math and statistics to biological problems. The reader is not expected to have any extensive background in either math or biology.
Quotes
“I was impressed with the excellent job done by the authors…particularly, how the biology is explained first and then the math necessary to solve the problem is developed.” --Phil Ryan, Truman State University
“I would strongly recommend publication. This book will show young biologists how their existing mathematical skills can be put to powerful use in modern biology.” --Martin Steward, University of Manchester
Content View Table of Contents
|
|
|
|
|