Designed to help life sciences students understand the role mathematics has played in breakthroughs in epidemiology, genetics, statistics, physiology, and other biological areas, this text provides students with a thorough grounding in mathematics, the language, and 'the technology of thought' with which these developments are created and controlled. The text teaches the skills of describing a system, translating appropriate aspects into equations, and interpreting the results in terms of the original problem. The text helps unify biology by identifying dynamical principles that underlie a great diversity of biological processes. Standard topics from calculus courses are covered, but with particular emphasis on those areas connected with modeling: discrete-time dynamical systems, differential equations, and probability and statistics.
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After graduating from Harvard University with a B.A. in Mathematics, Fred Adler received his Ph.D. in Applied Mathematics at Cornell University, where he began his study of mathematical biology. Currently a professor in the departments of mathematics and biology at the University of Utah, he teaches courses in mathematical modeling with a wide range of backgrounds. Prof. Adler's research focuses on mathematical ecology, with emphases in mathematical epidemiology, evolutionary ecology, and community ecology.
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