A thorough revision of the classic tutorial of scientific and engineering mathematics For more than fifteen years, Mastering Technical Mathematics has been the definitive self-teaching guide for those wishing to boost their career by learning the principles of mathematics as they apply to science and engineering. Featuring the same user-friendly pedagogy, practical examples, and detailed illustrations that have made this resource a favorite of the scientific and technical communities, the new third edition delivers four entirely new chapters and expanded treatment of cutting-edge topics.

Boost our applied math skills--and rocket your career. Don't let weak or rusty applied math skills keep you from satisfying your technical career goals. Step by step -- and at your own pace--Mastering Technical Mathematics, Second Edition, by Stan Gibilisco and Norman Crowhurst, gives you the essential background you need to sharpen our algebra aptitude...wield quadratics...use mechanical math methods...perform trigonometry and geometry conversions...and harness the power of differentiation. You'll also get comfortable with calculus...learn to use complex quantities...apply logarithms...and more. Totally revised and updated with state-of-the-art coverage of logic and digital systems, this affordable expert tutor also provides helpful examples and illustrations, chapter self-tests--even a comprehensive final exam. It's the ideal prep tool for acing certification exams, earning a technical degree, or confidently tackling any engineering challenge.

A thorough revision of the classic tutorial of scientific and engineering mathematics For more than fifteen years, Mastering Technical Mathematics has been the definitive self-teaching guide for those wishing to boost their career by learning the principles of mathematics as they apply to science and engineering. Featuring the same user-friendly pedagogy, practical examples, and detailed illustrations that have made this resource a favorite of the scientific and technical communities, the new third edition delivers four entirely new chapters and expanded treatment of cutting-edge topics.

-- The new edition of the definitive self-teaching guide to technical math -- Features a unique, jump-in-anywhere format -- filled with examples and illustrations -- that lets any technical professional or student learn at their own pace -- New chapters on logic and computer-based math; updated coverage of must-know computations; and all-new chapter-ending quizzes

"Completely revised and updated, this new edition ... provides the algebraic, geometric, and trigonometric concepts essential to solving problems commonly encountered in technical and trade occupations." - Back cover.

A mathematics textbook covering the skills necessary for careers in technical or engineering fields.

An illustrated reference to construction-related mathematical questions that includes explanations, helpful tips, formulas and calculations, metric conversion tables, and more.

Introductory Technical Mathematics, 5th Edition provides current and practical vocational and technical math applications for today's sophisticated trade and technical work environments. Each unit delivers practical math concepts alongside step-by-step examples and problems drawn from various occupations. The plentiful examples and problem sets emphasize on-the-job applications of math. Enhancements to the fifth edition include improved algebra coverage, a new section on basic statistics, new material on conversions from metric to customary systems of measure, and a section that supplements the basics of working with spreadsheets for graphing.

Business Process Modeling, Simulation and Design covers the design of business processes from a broad quantitative modeling perspective. The text presents a multitude of analytical tools that can be used to model, analyze, understand and ultimately, to design business processes. The range of topics in this text include graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, analytical queuing methods, as well as the use of Data Envelopment Analysis (DEA) for benchmarking purposes. And a major portion of the book is devoted to simulation modeling using a state of the art discrete-event simulation package.