Erin N. BodineSuzanne LenhartLouis J. GrossAugust 17, 2014

Princeton University PressProven 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

4.0

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Publisher

Princeton University Press

Published on

Aug 17, 2014

Pages

640

ISBN

9781400852772

Features

Best For

Language

English

Genres

Mathematics / Applied

Medical / General

Science / Biotechnology

Science / Life Sciences / Biology

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