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.
Download or read book Experimental Methods written by Les Kirkup and published by Wiley. This book was released on 1996-01-09 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise and easy to read text introduces first year students to the analysis and presentation of experimental data. Written for students taking introductory physics courses at tertiary level, Experimental Methods will be a vital resource for all students involved in experimental or laboratory work. It will be equally useful for other quantitative subjects such as chemistry, engineering and geology. Topics of fundamental importance such as keeping a laboratory notebook, analysing experimental data and report writing are often dealt with in separate texts. This book integrates these topics and provides many of the tools that students will need at first year level and beyond.
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
Download or read book Design of Experiments for Engineers and Scientists written by Jiju Antony and published by Elsevier. This book was released on 2014-02-22 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation.Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. - Written in non-statistical 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 a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry
Download or read book Experimental Methods in Polymer Science written by Toyoichi Tanaka and published by Elsevier. This book was released on 2012-12-02 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Successful characterization of polymer systems is one of the most important objectives of today's experimental research of polymers. Considering the tremendous scientific, technological, and economic importance of polymeric materials, not only for today's applications but for the industry of the 21st century, it is impossible to overestimate the usefulness of experimental techniques in this field. Since the chemical, pharmaceutical, medical, and agricultural industries, as well as many others, depend on this progress to an enormous degree, it is critical to be as efficient, precise, and cost-effective in our empirical understanding of the performance of polymer systems as possible. This presupposes our proficiency with, and understanding of, the most widely used experimental methods and techniques.This book is designed to fulfill the requirements of scientists and engineers who wish to be able to carry out experimental research in polymers using modern methods. Each chapter describes the principle of the respective method, as well as the detailed procedures of experiments with examples of actual applications. Thus, readers will be able to apply the concepts as described in the book to their own experiments. - Addresses the most important practical techniques for experimental research in the growing field of polymer science - The first well-documented presentation of the experimental methods in one consolidated source - Covers principles, practical techniques, and actual examples - Can be used as a handbook or lab manual for both students and researchers - Presents ideas and methods from an international perspective - Techniques addressed in this volume include: - Light Scattering - Neutron Scattering and X-Ray Scattering - Fluorescence Spectroscopy - NMR on Polymers - Rheology - Gel Experiments
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.
Download or read book Experimental Uncertainty Analysis A Textbook for Science and Engineering Students written by Supreet Singh Bahga and published by Supreet Singh Bahga. This book was released on 2021-07-06 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainties are inevitable in any experimental measurement. Therefore, it is essential for science and engineering graduates to design and develop reliable experiments and estimate the uncertainty in the measurements. This book describes the methods and application of uncertainty analysis during the planning, data analysis, and reporting stages of an experiment. This book is aimed at postgraduate and advanced undergraduate students of various branches of science and engineering. The book teaches methods for estimating random and systematic uncertainties and combining them to determine the overall uncertainty in a measurement. In addition, the method for propagating measurement uncertainties in the calculated result is discussed. The book also discusses methods of reducing the uncertainties through proper instrumentation, data acquisition, and experiment planning. This book provides detailed background and assumptions underlying the uncertainty analysis techniques for the reader to understand their applicability. Various solved examples are provided to demonstrate the application of the uncertainty analysis techniques. The exercises at the end of the chapters have been chosen carefully to reinforce the concepts discussed in the text.
Download or read book Basic Experimental Strategies and Data Analysis for Science and Engineering written by John Lawson and published by CRC Press. This book was released on 2016-11-03 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every technical investigation involving trial-and-error experimentation embodies a strategy for deciding what experiments to perform, when to quit, and how to interpret the data. This handbook presents several statistically derived strategies which are more efficient than any intuitive approach and will get the investigator to their goal with the fewest experiments, give the greatest degree of reliability to their conclusions, and keep the risk of overlooking something of practical importance to a minimum. Features: Provides a comprehensive desk reference on experimental design that will be useful to practitioners without extensive statistical knowledge Features a review of the necessary statistical prerequisites Presents a set of tables that allow readers to quickly access various experimental designs Includes a roadmap for where and when to use various experimental design strategies Shows compelling examples of each method discussed Illustrates how to reproduce results using several popular software packages on a companion web site Following the outlines and examples in this book should quickly allow a working professional or student to select the appropriate experimental design for a research problem at hand, follow the design to conduct the experiments, and analyze and interpret the resulting data. John Lawson and John Erjavec have a combined 25 years of industrial experience and over 40 years of academic experience. They have taught this material to numerous practicing engineers and scientists as well as undergraduate and graduate students.
Download or read book Experimental Methods in Tribology written by Gwidon Stachowiak and published by Elsevier. This book was released on 2004-05-18 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an indespensible guide to both researchers in academia and industry who wish to perform tribological experiments more effectively. With an extensive range of illustrations which communicate the basic concepts in experimental methods tribology more effectively than text alone. An extensive citation list is also provided at the end of each chapter facilitating a more thorough navigation through a particular subject.* Contains extensive illustrations* Highlights limitations of current techniques
Download or read book Reproducibility and Replicability in Science written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-10-20 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
Download or read book Methods of Experimental Physics written by M. I. Pergament and published by CRC Press. This book was released on 2014-10-23 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the modern approach of information theory, this book presents novel experimental techniques, tools, and data processing methods for physics applications. It shows readers how to plan and conduct experiments, design and certify measuring equipment, and process and interpret the experimental data. Drawing on his extensive experience in experimental research, the author discusses the theory of systems for measuring and recording data, the equipment and methods used for studying fast processes, the basic methods of experimental physics, and the methods for interpretation and data processing. Bringing together approaches that have previously been scattered in the literature, the book covers high-speed photography, Fourier optics, spectroscopy, interferometry, holography, electromagnetic waves, X-rays, and corpuscular investigation.
Download or read book Experimental Techniques in Materials and Mechanics written by C. Suryanarayana and published by CRC Press. This book was released on 2011-06-27 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental Techniques in Materials and Mechanics provides a detailed yet easy-to-follow treatment of various techniques useful for characterizing the structure and mechanical properties of materials. With an emphasis on techniques most commonly used in laboratories, the book enables students to understand practical aspects of the methods and derive the maximum possible information from the experimental results obtained. The text focuses on crystal structure determination, optical and scanning electron microscopy, phase diagrams and heat treatment, and different types of mechanical testing methods. Each chapter follows a similar format: Discusses the importance of each technique Presents the necessary theoretical and background details Clarifies concepts with numerous worked-out examples Provides a detailed description of the experiment to be conducted and how the data could be tabulated and interpreted Includes a large number of illustrations, figures, and micrographs Contains a wealth of exercises and references for further reading Bridging the gap between lecture and lab, this text gives students hands-on experience using mechanical engineering and materials science/engineering techniques for determining the structure and properties of materials. After completing the book, students will be able to confidently perform experiments in the lab and extract valuable data from the experimental results.
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:
Download or read book Experimental Innovations in Surface Science written by John T. Yates Jr. and published by Springer. This book was released on 2015-08-17 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a new edition of a classic text on experimental methods and instruments in surface science. It offers practical insight useful to chemists, physicists, and materials scientists working in experimental surface science. This enlarged second edition contains almost 300 descriptions of experimental methods. The more than 50 active areas with individual scientific and measurement concepts and activities relevant to each area are presented in this book. The key areas covered are: Vacuum System Technology, Mechanical Fabrication Techniques, Measurement Methods, Thermal Control, Delivery of Adsorbates to Surfaces, UHV Windows, Surface Preparation Methods, High Area Solids, Safety. The book is written for researchers and graduate students.
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
Download or read book Introduction to Educational Research written by W. Newton Suter and published by SAGE. This book was released on 2012 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance.
Download or read book Methods of Randomization in Experimental Design written by Valentim R. Alferes and published by SAGE. This book was released on 2012-10 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects experimental designs.
