Biocalculus: Calculus, Probability, and Statistics for the Life Sciences

Biocalculus: Calculus, Probability, and Statistics for the Life Sciences by James Stewart is published by Cengage Learning on June 30, 2015. This comprehensive text, spanning 1,032 pages, explores the connections between calculus and various biological disciplines. It presents mathematical concepts in a manner that balances rigor with accessibility, using examples from genetics, biomechanics, medicine, and more to illustrate the relevance of calculus in the life sciences.
Readers will find a structured approach that emphasizes genuine applications of mathematics, supported by references to primary biological literature for further exploration. The book aims to equip students with a solid understanding of mathematical principles while highlighting their significance in fields such as ecology, epidemiology, and evolution. This edition serves as a resource for those looking to deepen their knowledge of mathematics in the context of biological applications.
Official synopsis Publisher
BIOCALCULUS: CALCULUS, PROBABILITY, AND STATISTICS FOR THE LIFE SCIENCES shows students how calculus relates to biology, with a style that maintains rigor without being overly formal. The text motivates and illustrates the topics of calculus with examples drawn from many areas of biology, including genetics, biomechanics, medicine, pharmacology, physiology, ecology, epidemiology, and evolution, to name a few. Particular attention has been paid to ensuring that all applications of the mathematics are genuine, and references to the primary biological literature for many of these has been provided so that students and instructors can explore the applications in greater depth. Although the focus is on the interface between mathematics and the life sciences, the logical structure of the book is motivated by the mathematical material. Students will come away with a sound knowledge of mathematics, an understanding of the importance of mathematical arguments, and a clear understanding of how these mathematical concepts and techniques are central in the life sciences.
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