Mathematics for the Life Sciences

Regular price €96.99
A01=Erin N. Bodine
A01=Louis J. Gross
A01=Suzanne Lenhart
Addition
Age Group_Uncategorized
Age Group_Uncategorized
Allele
Antiderivative
Approximation
Arithmetic mean
Author_Erin N. Bodine
Author_Louis J. Gross
Author_Suzanne Lenhart
automatic-update
Biodiversity
Biological process
Biology
Calculation
Cartesian coordinate system
Category1=Non-Fiction
Category=PDE
Category=PS
Chain rule
COP=United States
Correlation coefficient
Data set
Delivery_Delivery within 10-20 working days
Demography
Derivative
Descriptive statistics
Differential equation
Disease
Diversity index
Eigenvalues and eigenvectors
Enzyme
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Equation
Estimation
Exponential decay
Exponential function
Exponential growth
Eye color
Fecundity
Flow diagram
Genotype
Heart rate
Hectare
Histogram
Indeterminate form
Initial condition
Language_English
Leslie matrix
Linear regression
Logarithm
Logistic function
Mathematics
MATLAB
Matrix multiplication
Maxima and minima
Measurement
Organism
PA=Available
Photosynthesis
Pollution
Population growth
Population model
Population size
Price_€50 to €100
Probability
Proportionality (mathematics)
PS=Active
Punnett square
Quadratic function
Quantity
Real number
Rectangle
Respiration rate
Result
Sample space
Scientific notation
Second derivative
softlaunch
Standard deviation
Statistic
Summation
Surface area
Thermoregulation
Transfer matrix
Variable (mathematics)
Year

Product details

  • ISBN 9780691150727
  • Weight: 1956g
  • Dimensions: 203 x 254mm
  • Publication Date: 17 Aug 2014
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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
Erin N. Bodine is assistant professor of mathematics at Rhodes College. Suzanne Lenhart is Chancellor's Professor of Mathematics at the University of Tennessee. Louis J. Gross is Distinguished Professor of Ecology and Evolutionary Biology and Mathematics at the University of Tennessee.