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
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
biologyCovers all the major quantitative concepts that national
reports have identified as the ideal components of an entry-level
course for life science studentsProvides good background for the
MCAT, which now includes data-based and statistical
reasoningExplicitly links data and math modelingIncludes
end-of-chapter homework problems, end-of-unit student projects, and
select answers to homework problemsUses MATLAB throughout, and
MATLAB m-files with an R supplement are available onlinePrepares
students to read with comprehension the growing quantitative
literature across the life sciencesForthcoming online answer key,
solution guide, and illustration package (available to
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