Dunn's "Measurement and Data Analysis for Engineering & Science" places emphasis on the process of experimentation, rather than the products of experimentation. Dunn's objective is to expose undergraduates and experimentalists to the essential tools of experimentation, to the scientific detail behind these tools, and to the role of experimentation in the scientific process. Guided by worked examples, MATLAB sidebars, and laboratory exercises, the reader builds a strong working knowledge while moving progressively through the text. The first three chapters of this 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 and 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 Web site.
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
