National Science Library of Georgia

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Computerized data acquisition and analysis for the life sciences : a hands-on guide / Simon S. Young.

By: Material type: TextTextPublisher: Cambridge : Cambridge University Press, 2001Description: 1 online resource (x, 237 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511609558 (ebook)
Other title:
  • Computerized Data Acquisition & Analysis for the Life Sciences
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 570/.285 21
LOC classification:
  • QH324.2 .Y68 2001
Online resources: Summary: Computerized data acquisition systems are often the principle method of recording experimental results. This book takes the reader step-by-step through the process of data acquisition and analysis, explaining how to set up the systems and then obtain useful information from the data recorded. In an easy-to-read style, it guides researchers through the basics of data acquisition systems, explains the important underlying concepts, and gives numerous examples of how to analyze the recorded information. While aimed at researchers in the life sciences, the topics covered are general and will be valuable to anyone interested in learning to use data acquisition systems. The principles can be applied to the collection of data from respiratory apparatus to behavioral science experiments, and a host of other situations. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. This book is an invaluable tool for the non-engineer who is collecting and analyzing experimental data using data acquisition systems.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Computerized data acquisition systems are often the principle method of recording experimental results. This book takes the reader step-by-step through the process of data acquisition and analysis, explaining how to set up the systems and then obtain useful information from the data recorded. In an easy-to-read style, it guides researchers through the basics of data acquisition systems, explains the important underlying concepts, and gives numerous examples of how to analyze the recorded information. While aimed at researchers in the life sciences, the topics covered are general and will be valuable to anyone interested in learning to use data acquisition systems. The principles can be applied to the collection of data from respiratory apparatus to behavioral science experiments, and a host of other situations. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. This book is an invaluable tool for the non-engineer who is collecting and analyzing experimental data using data acquisition systems.

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