Asia Pacific University Library catalogue


Getting it right : R&D methods for science and engineering / Peter Bock ; illustrations by Bettina Scheibe.

By: Bock, Peter, 1941-Contributor(s): Scheibe, BettinaMaterial type: TextTextPublication details: San Diego : Academic Press, c2001Description: xviii, 406 p. : ill. ; 26 cmISBN: 0121088529 (hbk.)Subject(s): Research -- Methodology | Engineering -- Research -- MethodologyDDC classification: 507.2 LOC classification: Q180.55.M4 | B63 2001Online resources: Publisher description | Table of contents
Contents:
Machine generated contents note: Chapter 1 Research and Development -- 1.1 Motivation 3 -- 1.2 Background 7 -- 1.3 R&D Problems 8 -- 1.4 Primary Objective 12 -- Chapter 2 Process and Preparation -- 2.1 The Methodology 13 -- 2.2 Tools and Resources 15 -- Part II Project Organization -- Chapter 3 The Project Hierarchy -- 3.1 Bottoms Up 21 -- 3.2 Top-Down Project Planning 22 -- Chapter 4 The Project Task -- 4.1 Task Domain 36 -- 4.1.1 Task Objective 36 -- 4.1.2 Task Unit 37 -- 4.1.3 Task Resources 40 -- 4.1.3.1 Inducers 41 -- 4.1.3.2 Sensors 42 -- 4.1.3.3 Supervisor 55 -- 4.1.3.4 Channels 57 -- 4.1.3.5 Knowledge 61 -- 4.2 Task Method 63 -- 4.3 Task Range 67 -- Part III Knowledge Representation -- Chapter 5 An Epistemological Journey 71 -- Chapter 6 Categories and Types of Knowledge 77 -- 6.1 Speculative Knowledge 78 -- 6.2 Presumptive Knowledge 78 -- 6.3 Stipulative Knowledge 85 -- 6.4 Conclusive Knowledge 88 -- Chapter 7 Roles of Knowledge Propositions 93 -- 7.1 Governing Propositions 94 -- 7.2 Factors 100 -- 7.3 Range Knowledge 103 -- Chapter 8 Limits of Knowledge 109 -- 8.1 Accuracy and Error 113 -- 8.2 Uncertainty 119 -- 8.2.1 Parametric Estimates of Uncertainty 120 -- 8.2.2 Geometric Estimates of the Uncertainty of Measurements 129 -- 8.2.3 Propagation of Uncertainty 142 -- 8.3 Precision 146 -- 8.3.1 Ascertaining the Precision Limit 149 -- 8.3.2 Setting the Precision of Results and Conclusions 152 -- 8.4 Knowledge, Truth, and Humility 156 -- Part IV The Scientific Method -- Chapter 9 Overview -- 9.1 History of the Scientific Method 161 -- 9.2 The Modern Scientific Method 166 -- 9.2.1 Iterative Execution 169 -- 9.2.2 Recursive Execution 173 -- Chapter 10 Analysis -- 10.1 Describe Problem 183 -- 10.2 Set Performance Criteria 187 -- 10.3 Investigate Related Work 191 -- 10.4 State Objective 193 -- Chapter 11 Hypothesis -- 11.1 Specify Solution 200 -- 11.2 Set Goals 202 -- 11.3 Define Factors 211 -- 11.4 Postulate Performance Metrics 215 -- Chapter 12 Synthesis -- 12.1 Implement Solution 220 -- 12.2 Design Experiments 227 -- 12.2.1 Experiment Laboratory 232 -- 12.2.2 Block Design 238 -- 12.2.3 Data Management 264 -- 12.3 Conduct Experiments 274 -- 12.4 Reduce Results 274 -- Chapter 13 Validation -- 13.1 Compute Performance 280 -- 13.2 Draw Conclusions 291 -- 13.3 Prepare Documentation 299 -- 13.3.1 Primary Project Documentation 303 -- 13.3.2 Secondary Project Documentation 315 -- 13.3 Solicit Peer Review 323 -- Appendices -- A. Bibliography 331 -- B. Glossary 335 -- C. Tips 343 -- D. Summaries and Guidelines 347 -- E. Case-Study Figures and Tables 365 -- F. Sample Experiment Protocol 387 -- G. An Algorithmfor Discovery 393 -- Index 395.
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Includes bibliographical references (p. 331-334) and index.

Machine generated contents note: Chapter 1 Research and Development -- 1.1 Motivation 3 -- 1.2 Background 7 -- 1.3 R&D Problems 8 -- 1.4 Primary Objective 12 -- Chapter 2 Process and Preparation -- 2.1 The Methodology 13 -- 2.2 Tools and Resources 15 -- Part II Project Organization -- Chapter 3 The Project Hierarchy -- 3.1 Bottoms Up 21 -- 3.2 Top-Down Project Planning 22 -- Chapter 4 The Project Task -- 4.1 Task Domain 36 -- 4.1.1 Task Objective 36 -- 4.1.2 Task Unit 37 -- 4.1.3 Task Resources 40 -- 4.1.3.1 Inducers 41 -- 4.1.3.2 Sensors 42 -- 4.1.3.3 Supervisor 55 -- 4.1.3.4 Channels 57 -- 4.1.3.5 Knowledge 61 -- 4.2 Task Method 63 -- 4.3 Task Range 67 -- Part III Knowledge Representation -- Chapter 5 An Epistemological Journey 71 -- Chapter 6 Categories and Types of Knowledge 77 -- 6.1 Speculative Knowledge 78 -- 6.2 Presumptive Knowledge 78 -- 6.3 Stipulative Knowledge 85 -- 6.4 Conclusive Knowledge 88 -- Chapter 7 Roles of Knowledge Propositions 93 -- 7.1 Governing Propositions 94 -- 7.2 Factors 100 -- 7.3 Range Knowledge 103 -- Chapter 8 Limits of Knowledge 109 -- 8.1 Accuracy and Error 113 -- 8.2 Uncertainty 119 -- 8.2.1 Parametric Estimates of Uncertainty 120 -- 8.2.2 Geometric Estimates of the Uncertainty of Measurements 129 -- 8.2.3 Propagation of Uncertainty 142 -- 8.3 Precision 146 -- 8.3.1 Ascertaining the Precision Limit 149 -- 8.3.2 Setting the Precision of Results and Conclusions 152 -- 8.4 Knowledge, Truth, and Humility 156 -- Part IV The Scientific Method -- Chapter 9 Overview -- 9.1 History of the Scientific Method 161 -- 9.2 The Modern Scientific Method 166 -- 9.2.1 Iterative Execution 169 -- 9.2.2 Recursive Execution 173 -- Chapter 10 Analysis -- 10.1 Describe Problem 183 -- 10.2 Set Performance Criteria 187 -- 10.3 Investigate Related Work 191 -- 10.4 State Objective 193 -- Chapter 11 Hypothesis -- 11.1 Specify Solution 200 -- 11.2 Set Goals 202 -- 11.3 Define Factors 211 -- 11.4 Postulate Performance Metrics 215 -- Chapter 12 Synthesis -- 12.1 Implement Solution 220 -- 12.2 Design Experiments 227 -- 12.2.1 Experiment Laboratory 232 -- 12.2.2 Block Design 238 -- 12.2.3 Data Management 264 -- 12.3 Conduct Experiments 274 -- 12.4 Reduce Results 274 -- Chapter 13 Validation -- 13.1 Compute Performance 280 -- 13.2 Draw Conclusions 291 -- 13.3 Prepare Documentation 299 -- 13.3.1 Primary Project Documentation 303 -- 13.3.2 Secondary Project Documentation 315 -- 13.3 Solicit Peer Review 323 -- Appendices -- A. Bibliography 331 -- B. Glossary 335 -- C. Tips 343 -- D. Summaries and Guidelines 347 -- E. Case-Study Figures and Tables 365 -- F. Sample Experiment Protocol 387 -- G. An Algorithmfor Discovery 393 -- Index 395.

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