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Measurement Data Analysis and Sensor Fundamentals for Engineering and Science 2nd Edition by Patrick Dunn 1439825688 978-1439825686

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Measurement Data Analysis and Sensor Fundamentals for Engineering and Science 2nd Edition Patrick F. Dunn Digital Instant Download

Author(s): Patrick F. Dunn
ISBN(s): 9781439825686, 1439825688
Edition: 2
File Details: PDF, 5.53 MB
Year: 2010
Language: english
SKU: EB-2421088 Category: Tag:

Measurement Data Analysis and Sensor Fundamentals for Engineering and Science 2nd Edition by Patrick Dunn – Ebook PDF Instant Download/Delivery: 1439825688, 978-1439825686
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ISBN 10: 1439825688
ISBN 13: 978-1439825686
Author: Patrick F. Dunn 

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

Measurement Data Analysis and Sensor Fundamentals for Engineering and Science 2nd Table of contents:

Part 1: Sensor Fundamentals (608 pages)

  1. Chapter 1 (22 pages): Sensor Fundamentals
    Introduces the principles behind sensor operation and their role in engineering and scientific applications.

  2. Chapter 2 (50 pages): Sensors in Engineering and Science
    Explores the application of sensors across various engineering disciplines and scientific research.

  3. Chapter 3 (24 pages): Human and Biomimetic Sensors
    Discusses sensors inspired by biological systems and their mimetic capabilities.

Part 2: Measurement and Data Analysis for Engineering and Science

  1. Chapter 1 (4 pages): Fundamentals of Experimentation
    Covers basic concepts of experimentation and its role in scientific inquiry.

  2. Chapter 2 (24 pages): Experiments
    Guides readers through designing and conducting experiments effectively.

  3. Chapter 3 (44 pages): Fundamental Electronics
    Provides foundational knowledge of electronic components and systems.

  4. Chapter 4 (72 pages): Measurement Systems: Sensors and Transducers
    Detailed exploration of sensor types and their applications in measurement systems.

  5. Chapter 5 (52 pages): Measurement Systems: Other Components
    Focuses on additional components required in measurement systems, like amplifiers and filters.

  6. Chapter 6 (40 pages): Measurement Systems: Calibration and Response
    Discusses calibration techniques and response analysis for accurate measurement.

  7. Chapter 7 (21 pages): Measurement Systems: Design-Stage Uncertainty
    Addresses uncertainty analysis during the design phase of measurement systems.

  8. Chapter 8 (17 pages): Signal Characteristics
    Examines characteristics and behaviors of signals in measurement systems.

  9. Chapter 9 (30 pages): The Fourier Transform
    Introduces Fourier analysis and its applications in signal processing.

  10. Chapter 10 (32 pages): Digital Signal Analysis
    Focuses on techniques for analyzing digital signals.

  11. Chapter 11 (42 pages): Probability
    Covers probability concepts as applied to engineering and scientific data analysis.

  12. Chapter 12 (44 pages): Statistics
    Delivers a practical guide to statistical methods in experiments.

  13. Chapter 13 (50 pages): Uncertainty Analysis
    Discusses methods for quantifying and analyzing uncertainty in measurements.

  14. Chapter 14 (54 pages): Regression and Correlation
    Examines techniques for understanding relationships between variables.

  15. Chapter 15 (32 pages): Units and Significant Figures
    Highlights the importance of using correct units and maintaining precision.

  16. Chapter 16 (22 pages): Technical Communication
    Offers insights into effectively presenting technical data and findings.

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