Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science draws the reader in with its eloquent prose and gripping discussions of derivations.
Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science draws the reader in with its eloquent prose and gripping discussions of derivations. Personally, I often found myself re-reading passages time and time again for the sheer intellectual stimulation they provided. This text should be the lifeblood of any engineering library personal or professional and I cannot recommend it more highly.
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Dunn's Measurement and Da. .Details (if other): Cancel. Thanks for telling us about the problem. Measurement and Data Analysis for Engineering and Science. Mcgraw-Hill Series in Mechanical Engineering).
It also offers historical perspectives throughout.
For the first time in such a text, experiments and demonstrations using smart phones and other handheld devices are included, along with more traditional technologies.
Provides solid coverage of measurement fundamentals, with modern applications and student activities.
These feature Measurement System Components, Assessing Measurement System Performance, Setting Signal Sampling Conditions, Analyzing Experimental Results, and Reporting Experimental Results. Provides solid coverage of measurement fundamentals, with modern applications and student activities. Includes new "concept chapters" to provide easily understandable overviews of major topic areas.
by Patrick F Dunn, Michael P. Davis. Books related to Measurement and Data Analysis for Engineering and Science. Schaum's Outline of Mathematical Methods for Business and Economics.
Author Patrick F. Dunn, P.
Since its first publication, the text has been used annually by over 30 universities and colleges within the . both at the undergraduate and graduate levels. Author Patrick F. is a professor of aerospace and mechanical engineering at the University of Notre Dame, where he has been a faculty member since 1985. Prior to 1985, he was a mechanical engineer at Argonne National Laboratory from 1976 to 1985 and a postdoctoral fellow at Duke University from 1974 to 1976.
Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material.
New to the Second Edition
Order of chapters now reflects the sequence of topics usually included in an undergraduate course Asterisked sections denote material not typically covered formally during lecture in an introductory undergraduate course More than 150 new problems, bringing the total to over 420 problems Supplementary website that provides unit conversions, learning objectives, review crossword puzzles and solutions, differential equation derivations, laboratory exercise descriptions, MATLAB® sidebars with M-files, and homework data files
Thorough and up to date, this edition continues to help students gain a fundamental understanding of the tools of experimentation. It discusses basic concepts related to experiments, measurement system components and responses, data analysis, and effective communication of experimental findings.
Ancillary materials for instructors are available on a CD-ROM and a solutions manual is available for qualifying instructors. More data available on www.nd.edu/~pdunn/www.text/measurements.html