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Getting It Right : R&D Methods for Science and Engineering - Peter Bock

Getting It Right

R&D Methods for Science and Engineering

Hardcover Published: 30th August 2001
ISBN: 9780121088521
Number Of Pages: 406

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Over the past decade, the author has met with directors of R&D departments in large industrial firms, who are frustrated by the lack of coherent and consistent methodologies in R&D projects. As a direct result the author was asked to design and present a seminar to provide R&D engineers and scientists a standard methodology for conducting coherent, rigorous, comprehensible, and consistent R&D projects. The author also realized that this training should be included in engineering and science curricula in universities and colleges. To this end, he designed and presented a pilot course for his department that was received enthusiastically by students who participated. This course has now become a required course for all doctoral students in the author's department.
This book has been designed to provide professional engineers, scientists, and students with a consistent and practical framework for the rigorous conduct and communication of complex research and development projects. Although courses and training in research methods are common and generally required of social science professionals, a vast majority of physical scientists and engineers have had no formal classroom training or on-the-job mentoring on proper procedures for research methods. Getting It Right emphasizes the comprehensive analysis of project problems, requirements, and objectives; the use of standard and consistent terminology and procedures; the design of rigorous and reproducible experiments; the appropriate reduction and interpretation of project results; and the effective communication of project design, methods, results, and conclusions.
Presents a standard methodology for conducting coherent, rigorous, comprehensible, and consistent R&D projects
Thoroughly researched to appeal to the needs of R&D engineers and scientists in industry
Will also appeal to students of engineering and science

A textbook introducing principles and practices of research. The sections cover project organization, knowledge representation, and the scientific method.Book News, Inc.(r), Portland, OR

Acknowledgmentsp. xi
Forewordp. xiii
Biographiesp. xvii
Introduction
Research and Developmentp. 3
Motivationp. 3
Backgroundp. 7
RandD Problemsp. 8
Primary Objectivep. 12
Process and Preparationp. 13
The Methodologyp. 13
Tools and Resourcesp. 15
Project Organization
The Project Hierarchyp. 21
Bottoms Upp. 21
Top-Down Project Planningp. 22
The Project Taskp. 35
Task Domainp. 36
Task Objectivep. 36
Task Unitp. 37
Task Resourcesp. 40
Inducersp. 41
Sensorsp. 42
Supervisorp. 55
Channelsp. 57
Knowledgep. 61
Task Methodp. 63
Task Rangep. 67
Knowledge Representation
An Epistemological Journeyp. 71
Categories and Types of Knowledgep. 77
Speculative Knowledgep. 78
Presumptive Knowledgep. 78
Stipulative Knowledgep. 85
Conclusive Knowledgep. 88
Roles of Knowledge Propositionsp. 93
Governing Propositionsp. 94
Factorsp. 100
Range Knowledgep. 103
Limits of Knowledgep. 109
Accuracy and Errorp. 113
Uncertaintyp. 119
Parametric Estimates of Uncertaintyp. 120
Geometric Estimates of the Uncertainty of Measurementsp. 129
Propagation of Uncertaintyp. 142
Precisionp. 146
Ascertaining the Precision Limitp. 149
Setting the Precision of Results and Conclusionsp. 152
Knowledge, Truth, and Humilityp. 156
The Scientific Method
Overviewp. 161
History of the Scientific Methodp. 161
The Modern Scientific Methodp. 166
Iterative Executionp. 169
Recursive Executionp. 173
Analysisp. 181
Describe Problemp. 183
Set Performance Criteriap. 187
Investigate Related Workp. 191
State Objectivep. 193
Hypothesisp. 199
Specify Solutionp. 200
Set Goalsp. 202
Define Factorsp. 211
Postulate Performance Metricsp. 215
Synthesisp. 219
Implement Solutionp. 220
Design Experimentsp. 227
Experiment Laboratoryp. 232
Block Designp. 238
Data Managementp. 264
Conduct Experimentsp. 274
Reduce Resultsp. 274
Validationp. 279
Compute Performancep. 280
Draw Conclusionsp. 291
Prepare Documentationp. 299
Primary Project Documentationp. 303
Secondary Project Documentationp. 315
Solicit Peer Reviewp. 323
Appendicesp. 329
Bibliographyp. 331
Glossaryp. 335
Tipsp. 343
Summaries and Guidelinesp. 347
Case-Study Figures and Tablesp. 365
Sample Experiment Protocolp. 387
An Algorithm for Discoveryp. 393
Indexp. 395
Table of Contents provided by Syndetics. All Rights Reserved.

ISBN: 9780121088521
ISBN-10: 0121088529
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 406
Published: 30th August 2001
Publisher: Elsevier Science Publishing Co Inc
Country of Publication: US
Dimensions (cm): 25.4 x 17.8  x 2.54
Weight (kg): 0.93