Measurement and data analysis for engineering and science with engineering sub card

The Website includes solutions to all chapter problems, information on lab set-up and implementation, MATLAB resources and m-files, links to professional & association websites, and other student learning resources. Dunn's Experimental Methods & Measurement for Engineers offers an up-date-date, practical approach to learning and implementing lab skills, technical reporting, and data analysis.

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 full 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

Chapter 1-Introduction

Chapter 2-Experiments

Chapter 3-Units and Significant Figures

Chapter 4-Technical Communication

Chapter 5-Basic Electronics

Chapter 6-Measurement Systems

Chapter 7-Calibration and Response

Chapter 8-Probability and Statistics

Chapter 9-Regression and Correlation

Chapter 10-Uncertainty Analysis

Chapter 11-Signal Characteristics

Chapter 12-Digital Signal Analysis