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Mathematics for the life sciences /

Bodine, Erin N.

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Mathematics for the life sciences /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematics for the life sciences // Erin N. Bodine, Suzanne Lenhart, Louis J. Gross.
Author:	Bodine, Erin N.
other author:	Lenhart, Suzanne.
Published:	Princeton :Princeton University Press, : c2014.,
Description:	xx, 608 p. :ill. (some col.) ;27 cm.
Subject:	Biology - Mathematical models. -
ISBN:	9780691150727

Mathematics for the life sciences /
Bodine, Erin N.

Mathematics for the life sciences /Erin N. Bodine, Suzanne Lenhart, Louis J. Gross. - Princeton :Princeton University Press,c2014. - xx, 608 p. :ill. (some col.) ;27 cm.

Includes bibliographical references (p. [557]-560) and index.

"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, Online answer key, solution guide, and illustration package (available to professors)"--

ISBN: 9780691150727US85.00

LCCN: 2014006493Subjects--Topical Terms:

524939
Biology
--Mathematical models.

LC Class. No.: QH323.5 / .B63 2014

Dewey Class. No.: 570.1/51

Mathematics for the life sciences /
LDR:02671cam a2200217 a 4500 001 2017687
003 DLC
005 20150406141348.0
008 161003s2014 njua b 001 0 eng
010 $a 2014006493
020 $a 9780691150727 $q (hardback) : $c US85.00
020 $a 0691150729 $q (hardback)
040 $a DLC $b eng $c DLC $d DLC
042 $a pcc
050 0 0 $a QH323.5 $b .B63 2014
082 0 0 $a 570.1/51 $2 23
100 1 $a Bodine, Erin N. $3 2184927
245 1 0 $a Mathematics for the life sciences / $c Erin N. Bodine, Suzanne Lenhart, Louis J. Gross.
260 $a Princeton : $b Princeton University Press, $c c2014.
300 $a xx, 608 p. : $b ill. (some col.) ; $c 27 cm.
504 $a Includes bibliographical references (p. [557]-560) and index.
520 $a "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, Online answer key, solution guide, and illustration package (available to professors)"-- $c Provided by
520 $a publisher.
650 0 $a Biology $x Mathematical models. $3 524939
650 0 $a Mathematics. $3 515831
700 1 $a Lenhart, Suzanne. $3 2184928
700 1 $a Gross, Louis J. $3 646254