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Measurement and Data Analysis for Engineering and Science (Engineering Series)
 
 
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Measurement and Data Analysis for Engineering and Science (Engineering Series) (Hardcover)

by Patrick Dunn (Author), Patrick Dunn (Author) "Experimentation has been part of the human experience ever since its beginnings..." (more)
Key Phrases: amplitude ambiguity, highest trigger level, absolute quantization error, New York, Technical English, Learning Objectives (more...)
5.0 out of 5 stars See all reviews (1 customer review)

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Customers buy this book with Fundamentals of Engineering Thermodynamics by Michael J. Moran

Measurement and Data Analysis for Engineering and Science (Engineering Series) + Fundamentals of Engineering Thermodynamics
Price For Both: $266.02

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Editorial Reviews

Product Description

Dunn's Measurement and Data Analysis for Engineering & Science offers an up-to-date, practical approach to learning and implementing lab skills, technical reporting, and data analysis. Its engaging writing style, use of historical vignettes, and numerous learning features make it the best book available for students.

The first three chapters of the text cover the basics--experimental methods, units & significant figures, technical communications and basic electronics. Hardware issues are then presented, with a focus on measurement systems, and calibration & response. The final chapters deal with data analysis, with an overview of basic probability & statistics, uncertainty analysis, signal characteristics, and digital signal analysis. Following the text chapters, a full laboratory manual, with an introduction and twelve lab experiments, is included. This gives users a chance to put their basic skills to work in actual engineering experiments, which are taken from a variety of engineering subject areas.

Throughout the book computer techniques are discussed, and specific MATLAB applications are included, for problem modeling, exploration and solution. MATLAB "sidebars" are used to present MATLAB, and associated m-files are provided on the Book Website. This site will also include problem solutions and lab discussions for instructors, PowerPoint slides of key text figures, links to professional and association websites, and other student learning resources.


Product Details

  • Hardcover: 704 pages
  • Publisher: McGraw-Hill Science/Engineering/Math; 1 edition (May 21, 2004)
  • Language: English
  • ISBN-10: 0072825383
  • ISBN-13: 978-0072825381
  • Product Dimensions: 9.2 x 7.6 x 1.1 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.com Sales Rank: #378,501 in Books (See Bestsellers in Books)

    Popular in these categories: (What's this?)

    #5 in  Books > Science > Mathematics > Mensuration
    #46 in  Books > Science > Experiments, Instruments & Measurement > Measurement

Inside This Book (learn more)
First Sentence:
Experimentation has been part of the human experience ever since its beginnings. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
amplitude ambiguity, highest trigger level, absolute quantization error, relative systematic uncertainty, wind tunnel velocity, combined standard uncertainty, detailed uncertainty analysis, measurand values, elemental uncertainties, specific birth date, precision interval, binomial probability density function, elemental errors, example measurement systems, true mean value, instrument uncertainty, four strain gages, folding diagram, correlated uncertainties, system dynamic response, time history record, fixed operating conditions, gage factor, true intercept, ideal voltmeter
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Technical English, Learning Objectives, English Engineering, Science Museum, Society Picture Library, United States, Cambridge University Press, Mechanical Measurements, Prentice Hall, Time Figure, Francis Galton, Oxford University Press, Determine the Fourier, Engineering Applications, Michael Faraday, Numerical Recipes, Alessandro Volta, Differentiating Equation, Harvard University Press, Statistical Theory, Upper Saddle River, Wiley Interscience
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5.0 out of 5 stars Just What I Need, January 7, 2008
For many years I have taught a graduate/undergraduate pair of courses, EE5811 and EE 5821 in biomedical instrumentation and modeling. The central challenge each semester is an idependent student investigation from concept to method to outcomes. Peer reviewed papers are the principal information sources and this text has a remarkable sense for filling in the gaps for a wide range of engineering and life science curricula.
Congratulatins to EMBS magazine, vol26,number6,Nov/Dec 2007, pp 9-11
Jim Holte Associate Professor ECE Dept. U of Minnesota
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