Mathematics for the Life Sciences

ISBN-13: 9780691150727

ISBN-10: 0691150729

Author: Erin N. Bodine, Suzanne Lenhart, Louis J. Gross

Publication date:
2014
Publisher:
Princeton University Press
Format:
Hardcover 640 pages
Category:
Calculus, Mathematics
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Summary

Acknowledged author Erin N. Bodine wrote Mathematics for the Life Sciences comprising 640 pages back in 2014. Textbook and etextbook are published under ISBN 0691150729 and 9780691150727. Since then Mathematics for the Life Sciences textbook received total rating of 3.5 stars and was available to sell back to BooksRun online for the top buyback price of $19.05 or rent at the marketplace.


Description

The life sciences deal with a vast array of problems at different spatial, temporal, and organizational scales. The mathematics necessary to describe, model, and analyze these problems is similarly diverse, incorporating quantitative techniques that are rarely taught in standard undergraduate courses. This textbook provides an accessible introduction to these critical mathematical concepts, linking them to biological observation and theory while also presenting the computational tools needed to address problems not readily investigated using mathematics alone.

Proven in the classroom and requiring only a background in high school math, Mathematics for the Life Sciences doesn't just focus on calculus as do most other textbooks on the subject. It covers deterministic methods and those that incorporate uncertainty, problems in discrete and continuous time, probability, graphing and data analysis, matrix modeling, difference equations, differential equations, and much more. The book uses MATLAB throughout, explaining how to use it, write code, and connect models to data in examples chosen from across the life sciences.

  • Provides undergraduate life science students with a succinct overview of major mathematical concepts that are essential for modern biology
  • Covers all the major quantitative concepts that national reports have identified as the ideal components of an entry-level course for life science students
  • Provides good background for the MCAT, which now includes data-based and statistical reasoning
  • Explicitly links data and math modeling
  • Includes end-of-chapter homework problems, end-of-unit student projects, and select answers to homework problems
  • Uses MATLAB throughout, and MATLAB m-files with an R supplement are available online
  • Prepares students to read with comprehension the growing quantitative literature across the life sciences
  • A solutions manual for professors and an illustration package is available