This textbook on mathematical biology is designed for students with no previous background in biology and very little background in mathematics. It teaches the two subjects as equal and inter-related subjects, and it uses the powerful Maple computer algebra system as a tool in solving the computational and graphing problems. The use of the Maple system allows a hands-on approach to computation, and this provides a source of information through the use of "what if" scenarios, allowing students to grasp important biological and mathematical concepts. For students who do not have access to a computer algebra system, each topic is complete without the use of either numerical or symbolic equations. Graphic visualizations are provided for all the mathematical results.
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"A very well balanced combination of biology and mathematics. Mathematics students have an opportunity to learn enough biology to make good models, and biology students will see it as an opportunity to understand the dynamics of a biological system. It can serve as the source of many good models with possible applications in different areas of biological research." —Gen. Physiol. Biophysics
"The title is a good description of this introductory textbook, which integrates quite nicely biology and mathematics… Each chapter ends with questions for discussion and references pointing to further reading… Intended for biology students with one year of calculus who want an introduction to mathematical modeling and for mathematics students with little knowledge of biology who want to become familiar with biological applications. The book succeeds at both intents. It is an excellent appetizer." —Zentralblatt MATH
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2 of 7 people found the following review helpful:
5.0 out of 5 stars
An excellent book for a beginner interested in math and bio,
By A Customer
This review is from: An Introduction to the Mathematics of Biology (Hardcover)
I found this book useful as a beginner in biology with a background in mathematics. There is an emphasis on the biology aspect, but the mathematics in fairly in depth.
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