Computerized Data Acquisition and Analysis for the Life Sciences: A Hands-On Guide

Simon S. Young

ISBN 10: 0521562813 / ISBN 13: 9780521562812

Published by Cambridge Univ Pr, 2001

About this Item

1st edition. 237 pages. 9.00x7.25x0.50 inches. In Stock.

Seller Inventory # x-0521562813

Bibliographic Details

• Title: Computerized Data Acquisition and Analysis for the Life Sciences: A Hands-On Guide
• Publisher: Cambridge Univ Pr
• Publication Date: 2001
• Language: English
• ISBN 10: 0521562813
• ISBN 13: 9780521562812
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.6 kilograms

About this title

Synopsis

Computerized data acquisition systems are often the principal 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 obtain useful information from the data recorded. In an easy-to-read style, the author guides researchers through the basics of data acquisition systems, explaining the important underlying concepts, and giving 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 nonengineer who is collecting and analyzing experimental data using data acquisition systems. Researchers, graduate students, and technicians will find it an up-to-date and indispensable guide for setting up equipment and getting the most out of their data.

Book Description

This book is an invaluable tool for the non-engineer involved in computerized data acquisition. It guides the reader through the process of data acquisition and analysis, explaining how to set up the systems and obtain useful information from the data recorded. 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. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. Researchers, graduate students and technicians will find it an indispensable guide for setting up equipment and getting the most out of their data.