Experimental Methods for Engineers

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Publisher :
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Experimental Methods for Engineers by : Jack Philip Holman

Download or read book Experimental Methods for Engineers written by Jack Philip Holman and published by . This book was released on 1971 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Experimental Methods for Engineers

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Publisher :
ISBN 13 :
Total Pages : 657 pages
Book Rating : 4.:/5 (88 download)

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Book Synopsis Experimental Methods for Engineers by : Holman, J P.

Download or read book Experimental Methods for Engineers written by Holman, J P. and published by . This book was released on 2010 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Design of Experiments for Engineers and Scientists

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Publisher : Elsevier
ISBN 13 : 0443151741
Total Pages : 296 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Design of Experiments for Engineers and Scientists by : Jiju Antony

Download or read book Design of Experiments for Engineers and Scientists written by Jiju Antony and published by Elsevier. This book was released on 2023-06-02 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities. Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic. Written in nonstatistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem-solving methodology New edition includes two new chapters on DoE for services as well as case studies illustrating its wider application in the service industry

Experimental Methods and Instrumentation for Chemical Engineers

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Publisher : Elsevier
ISBN 13 : 0444637923
Total Pages : 426 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Experimental Methods and Instrumentation for Chemical Engineers by : Gregory S. Patience

Download or read book Experimental Methods and Instrumentation for Chemical Engineers written by Gregory S. Patience and published by Elsevier. This book was released on 2017-09-08 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental Methods and Instrumentation for Chemical Engineers, Second Edition, touches many aspects of engineering practice, research, and statistics. The principles of unit operations, transport phenomena, and plant design constitute the focus of chemical engineering in the latter years of the curricula. Experimental methods and instrumentation is the precursor to these subjects. This resource integrates these concepts with statistics and uncertainty analysis to define what is necessary to measure and to control, how precisely and how often.The completely updated second edition is divided into several themes related to data: metrology, notions of statistics, and design of experiments. The book then covers basic principles of sensing devices, with a brand new chapter covering force and mass, followed by pressure, temperature, flow rate, and physico-chemical properties. It continues with chapters that describe how to measure gas and liquid concentrations, how to characterize solids, and finally a new chapter on spectroscopic techniques such as UV/Vis, IR, XRD, XPS, NMR, and XAS. Throughout the book, the author integrates the concepts of uncertainty, along with a historical context and practical examples.A problem solutions manual is available from the author upon request. Includes the basics for 1st and 2nd year chemical engineers, providing a foundation for unit operations and transport phenomena Features many practical examples Offers exercises for students at the end of each chapter Includes up-to-date detailed drawings and photos of equipment

Experimental Methods and Instrumentation for Chemical Engineers

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Publisher : Newnes
ISBN 13 : 0444538054
Total Pages : 416 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Experimental Methods and Instrumentation for Chemical Engineers by : Gregory S. Patience

Download or read book Experimental Methods and Instrumentation for Chemical Engineers written by Gregory S. Patience and published by Newnes. This book was released on 2013-04-05 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental Methods and Instrumentation for Chemical Engineers is a practical guide for research engineers and students, process engineers and, consultants, and others in the chemical engineering field. This unique book thoroughly describes experimental measurements and instrumentation in the contexts of pressure, temperature, fluid metering, chromatography, and more. Chapters on physico-chemical analysis and analysis of solids and powders are included as well. Throughout the book, the author examines all aspects of engineering practice and research. The principles of unit operations, transport phenomena, and plant design form the basis of this discipline. Experimental Methods and Instrumentation for Chemical Engineers integrates these concepts with statistics and uncertainty analysis to define factors that are absolutely necessary to measure and control, how precisely, and how often. Experimental Methods and Instrumentation for Chemical Engineers is divided into several themes, including the measurement of pressure, temperature flow rate, physico-chemical properties, gas and liquid concentrations and solids properties. Throughout the book, the concept of uncertainty is discussed in context, and the last chapter is dedicated to designing and experimental plan. The theory around the measurement principles is illustrated with examples. These examples include notions related to plant design as well as cost and safety. Contains extensive diagrams, photos, and other illustrations as well as manufacturers' equipment and descriptions with up-to-date, detailed drawings and photos Includes exercises at the end of each chapter, helping the reader to understand the problem by solving practical examples Covers research and plant application, including emerging technologies little discussed in other sources

Experimentation in Software Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 3642290442
Total Pages : 249 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Experimentation in Software Engineering by : Claes Wohlin

Download or read book Experimentation in Software Engineering written by Claes Wohlin and published by Springer Science & Business Media. This book was released on 2012-06-16 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.

Experimental Methods for Science and Engineering Students

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Publisher : Cambridge University Press
ISBN 13 : 1108418465
Total Pages : 239 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Experimental Methods for Science and Engineering Students by : Les Kirkup

Download or read book Experimental Methods for Science and Engineering Students written by Les Kirkup and published by Cambridge University Press. This book was released on 2019-09-05 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of experimental methods providing practical advice to students seeking guidance with their experimental work.

Statistical Methods for Engineers and Scientists

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Publisher : Routledge
ISBN 13 : 1351414372
Total Pages : 672 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Statistical Methods for Engineers and Scientists by : Robert M. Bethea

Download or read book Statistical Methods for Engineers and Scientists written by Robert M. Bethea and published by Routledge. This book was released on 2018-04-20 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous additional end-of-chapter problems and worked examples; and more.

Experimentation, Validation, and Uncertainty Analysis for Engineers

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Publisher : John Wiley & Sons
ISBN 13 : 1119417708
Total Pages : 420 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Experimentation, Validation, and Uncertainty Analysis for Engineers by : Hugh W. Coleman

Download or read book Experimentation, Validation, and Uncertainty Analysis for Engineers written by Hugh W. Coleman and published by John Wiley & Sons. This book was released on 2018-04-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.

Engineering Research

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Publisher : John Wiley & Sons
ISBN 13 : 1119624487
Total Pages : 416 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Engineering Research by : Herman Tang

Download or read book Engineering Research written by Herman Tang and published by John Wiley & Sons. This book was released on 2020-12-30 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the fundamentals of planning, preparing, conducting, and presenting engineering research with this one-stop resource Engineering Research: Design, Methods, and Publication delivers a concise but comprehensive guide on how to properly conceive and execute research projects within an engineering field. Accomplished professional and author Herman Tang covers the foundational and advanced topics necessary to understand engineering research, from conceiving an idea to disseminating the results of the project. Organized in the same order as the most common sequence of activities for an engineering research project, the book is split into three parts and nine chapters. The book begins with a section focused on proposal development and literature review, followed by a description of data and methods that explores quantitative and qualitative experiments and analysis, and ends with a section on project presentation and preparation of scholarly publication. Engineering Research offers readers the opportunity to understand the methodology of the entire process of engineering research in the real word. The author focuses on executable process and principle-guided exercise as opposed to abstract theory. Readers will learn about: An overview of scientific research in engineering, including foundational and fundamental concepts like types of research and considerations of research validity How to develop research proposals and how to search and review the scientific literature How to collect data and select a research method for their quantitative or qualitative experiment and analysis How to prepare, present, and submit their research to audiences and scholarly papers and publications Perfect for advanced undergraduate and engineering students taking research methods courses, Engineering Research also belongs on the bookshelves of engineering and technical professionals who wish to brush up on their knowledge about planning, preparing, conducting, and presenting their own scientific research.

Experimentation for Engineers

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Publisher : Simon and Schuster
ISBN 13 : 1638356904
Total Pages : 246 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Experimentation for Engineers by : David Sweet

Download or read book Experimentation for Engineers written by David Sweet and published by Simon and Schuster. This book was released on 2023-03-21 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You’ll start with a deep dive into methods like A/B testing, and then graduate to advanced techniques used to measure performance in industries such as finance and social media. Learn how to evaluate the changes you make to your system and ensure that your testing doesn’t undermine revenue or other business metrics. By the time you’re done, you’ll be able to seamlessly deploy experiments in production while avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world’s most competitive industries that will help you enhance machine learning systems, software applications, and quantitative trading solutions. About the book Experimentation for Engineers: From A/B testing to Bayesian optimization delivers a toolbox of processes for optimizing software systems. You’ll start by learning the limits of A/B testing, and then graduate to advanced experimentation strategies that take advantage of machine learning and probabilistic methods. The skills you’ll master in this practical guide will help you minimize the costs of experimentation and quickly reveal which approaches and features deliver the best business results. What's inside Design, run, and analyze an A/B test Break the “feedback loops” caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization About the reader For ML and software engineers looking to extract the most value from their systems. Examples in Python and NumPy. About the author David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram. He teaches in the AI and Data Science master's programs at Yeshiva University. Table of Contents 1 Optimizing systems by experiment 2 A/B testing: Evaluating a modification to your system 3 Multi-armed bandits: Maximizing business metrics while experimenting 4 Response surface methodology: Optimizing continuous parameters 5 Contextual bandits: Making targeted decisions 6 Bayesian optimization: Automating experimental optimization 7 Managing business metrics 8 Practical considerations

Research Methods for Engineers

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Publisher : Cambridge University Press
ISBN 13 : 1316061051
Total Pages : 307 pages
Book Rating : 4.3/5 (16 download)

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Book Synopsis Research Methods for Engineers by : David V. Thiel

Download or read book Research Methods for Engineers written by David V. Thiel and published by Cambridge University Press. This book was released on 2014-09-11 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to plan for success with this hands-on guide to conducting high-quality engineering research. Plan and implement your next project for maximum impact: step-by-step instructions cover every stage in engineering research, from the identification of an appropriate research topic through to the successful presentation of results. Improve your research outcomes: discover essential tools and methods for producing high-quality, rigorous research, including statistical analysis, survey design, and optimisation techniques. Research with purpose and direction: clear explanations, real-world examples, and over 50 customisable end-of-chapter exercises, all written with the practical and ethical considerations of engineering in mind. A unique engineering perspective: written especially for engineers, and relevant across all engineering disciplines, this is the ideal book for graduate students, undergraduates, and new academics looking to launch their research careers.

Experimental Design

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Publisher : Springer
ISBN 13 : 3319645838
Total Pages : 639 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Experimental Design by : Paul D. Berger

Download or read book Experimental Design written by Paul D. Berger and published by Springer. This book was released on 2017-11-28 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.

Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers

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Publisher : CRC Press
ISBN 13 : 1000469611
Total Pages : 608 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers by : James A. Middleton

Download or read book Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers written by James A. Middleton and published by CRC Press. This book was released on 2021-11-25 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops foundational concepts in probability and statistics with primary applications in mechanical and aerospace engineering. It develops the mindset a data analyst must have to interpret an ill-defined problem, operationalize it, collect or interpret data, and use this evidence to make decisions that can improve the quality of engineered products and systems. It was designed utilizing the latest research in statistics learning and in engagement teaching practices The author’s focus is on developing students’ conceptual understanding of statistical theory with the goal of effective design and conduct of experiments. Engineering statistics is primarily a form of data modeling. Emphasis is placed on modelling variation in observations, characterizing its distribution, and making inferences with regards to quality assurance and control. Fitting multivariate models, experimental design and hypothesis testing are all critical skills developed. All topics are developed utilizing real data from engineering projects, simulations, and laboratory experiences. In other words, we begin with data, we end with models. The key features are: Realistic contexts situating the learning of the statistics in actual engineering practice. A balance of rigorous mathematics, conceptual scaffolding, and real, messy data, to ensure that students learn the important concepts and can apply them in practice. The consistency of text, lecture notes, data sets, and simulations yield a coherent set of instructional resources for the instructor and a coherent set of learning experiences for the students. MatLab is used as a computational tool. Other tools are easily substituted. Table of Contents 1. Introduction 2. Dealing with Variation 3. Types of Data 4. Introduction to Probability 5. Sampling Distribution of the Mean 6. The Ten Building Blocks of Experimental Design 7. Sampling Distribution of the Proportion 8. Hypothesis Testing Using the 1-sample Statistics 9. 2-sample Statistics 10. Simple Linear Regression 11. The General Linear Model: Regression with Multiple Predictors 12. The GLM with Categorical Independent Variables: The Analysis of Variance 13. The General Linear Model: Randomized Block Factorial ANOVA 14. Factorial Analysis of Variance 15. The Bootstrap 16. Data Reduction: Principal Components Analysis Index Author Biography James A. Middleton is Professor of Mechanical and Aerospace Engineering and former Director of the Center for Research on Education in Science, Mathematics, Engineering, and Technology at Arizona State University. Previously, he held the Elmhurst Energy Chair in STEM education at the University of Birmingham in the UK. He received his Ph.D. from the University of Wisconsin-Madison. He has been Senior co-Chair of the Special Interest Group for Mathematics Education in the American Educational Research Association, and as Chair of the National Council of Teachers of Mathematics’ Research Committee. He has been a consultant for the College Board, the Rand Corporation, the National Academies, the American Statistical Association, the IEEE, and numerous school systems around the United States, the UK, and Australia. He has garnered over $30 million in grants to study and improve mathematics education in urban schools.

Problem Solving for New Engineers

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Publisher : CRC Press
ISBN 13 : 1351996436
Total Pages : 337 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Problem Solving for New Engineers by : Melisa Buie

Download or read book Problem Solving for New Engineers written by Melisa Buie and published by CRC Press. This book was released on 2017-07-20 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings a fresh new approach to practical problem solving in engineering, covering the critical concepts and ideas that engineers must understand to solve engineering problems. Problem Solving for New Engineers: What Every Engineering Manager Wants You to Know provides strategy and tools needed for new engineers and scientists to become apprentice experimenters armed only with a problem to solve and knowledge of their subject matter. When engineers graduate, they enter the work force with only one part of what’s needed to effectively solve problems -- Problem solving requires not just subject matter expertise but an additional knowledge of strategy. With the combination of both knowledge of subject matter and knowledge of strategy, engineering problems can be attacked efficiently. This book develops strategy for minimizing, eliminating, and finally controlling unwanted variation such that all intentional variation is truly representative of the variables of interest.

Experimental Methods in Measurement and Instrumentation for Electrical and Mechanical Engineers

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Publisher : Universal-Publishers
ISBN 13 : 9781599428147
Total Pages : 122 pages
Book Rating : 4.4/5 (281 download)

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Book Synopsis Experimental Methods in Measurement and Instrumentation for Electrical and Mechanical Engineers by : Eroglu

Download or read book Experimental Methods in Measurement and Instrumentation for Electrical and Mechanical Engineers written by Eroglu and published by Universal-Publishers. This book was released on 2010 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this unique book is to interface electrcial and mechanical engineering students with stand-alone instruments such as power supply, function generator, digital multimeter, oscilloscope, and computer data acquisition system with LabVIEW during laboratory experiments. They will be learning how to use electrical and mechanical devices such as transducers, accelerometers, thermistors, RTDs, and Bourden Gauges as instruments to measure physical quantities with a computer data acquisition system integrated with Labview. Students will be able to apply the theory in practice through the experiments. They will gain hands-on experience on the sophisticated measurement devices and be able to apply statistical analysis on the measured data to increase the accuracy of a measurement system. Experiments lead students to build circuits on breadboards to verify circuit laws, and use measurement sensors, such as pressure transducers and temperature measurement devices, to measure physical variables. The experience of using laboratory instruments and measurement sensors, the understanding of the working mechanism of these devices, and the processing of experimental data using statistical methods, will give students a solid foundation for their electrical and mechanical engineering laboratory courses.

Basics of Software Engineering Experimentation

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Publisher : Springer Science & Business Media
ISBN 13 : 1475733046
Total Pages : 405 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Basics of Software Engineering Experimentation by : Natalia Juristo

Download or read book Basics of Software Engineering Experimentation written by Natalia Juristo and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basics of Software Engineering Experimentation is a practical guide to experimentation in a field which has long been underpinned by suppositions, assumptions, speculations and beliefs. It demonstrates to software engineers how Experimental Design and Analysis can be used to validate their beliefs and ideas. The book does not assume its readers have an in-depth knowledge of mathematics, specifying the conceptual essence of the techniques to use in the design and analysis of experiments and keeping the mathematical calculations clear and simple. Basics of Software Engineering Experimentation is practically oriented and is specially written for software engineers, all the examples being based on real and fictitious software engineering experiments.