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This new edition of Consider a Spherical Cow teaches basic mathematical modeling skills that are widely applicable to a huge range of environmental problems facing the world today. Organized both by modeling tools and environmental topics, this innovative book includes 56 posed problems and worked-out solutions. Readers will find introductions to topics, extensive pedagogic material explaining how to use the relevant modeling tools, and opportunities to think more deeply about or confirm steps in the provided solutions. This new edition includes 101 new quantitative homework exercises, an appendix compendium of updated environmental data, a glossary, and a bibliography, plus entirely new sections on probability, toxics, radiation and radioactivity, and epidemics.With wide topical coverage, Harte teaches the math step by step in the context of actual posed environmental problems, emphasizes limitations and strengths of models, and describes practical applications to real problems and situations. Along with the many worked-out problems, discussion questions and quantitative problems are provided as exercises for the reader. The book emphasizes creative applications of math to environmental science, not plug-in problems.

This introduction to the Standard Model of particle physics provides students with a classroom-tested workbook to optimize learning this material in student-centered classes. Developed to support a one-semester upper-level undergraduate or graduate course, it includes hundreds of homework problems that will guide students to a clear understanding of this fascinating field.

SOLVE: Problems in Environmental Science delivers up a robust set of engaging quantitative problems geared toward students in guided problem-solving groups and Environmental Science courses.

Straub's stunning new text is an excellent choice for a one-semester course on mathematical methods, an affordable supplement for physical chemistry courses, or a self-study guide.

John R. Taylor's best-selling text will be released in a new third edition that features Bayesian statistics and updated new chapter-ending problems throughout. Previously translated into nine languages, this brilliant little text introduces the study of uncertainties to lower division science students using familiar examples.