Effective Experimentation. For Scientists and Technologists

Learn to fully harness the power of Microsoft Excel® to perform scientific and engineering calculations With this text as your guide, you can significantly enhance Microsoft Excel's® capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems. The text begins with two chapters that introduce you to Excel's Visual Basic for Applications (VBA) programming language, which allows you to expand Excel's® capabilities, although you can still use the text without learning VBA. Following the author's step-by-step instructions, here are just a few of the calculations you learn to perform: Use worksheet functions to work with matrices Find roots of equations and solve systems of simultaneous equations Solve ordinary differential equations and partial differential equations Perform linear and non-linear regression Use random numbers and the Monte Carlo method This text is loaded with examples ranging from very basic to highly sophisticated solutions. More than 100 end-of-chapter problems help you test and put your knowledge to practice solving real-world problems. Answers and explanatory notes for most of the problems are provided in an appendix. The CD-ROM that accompanies this text provides several useful features: All the spreadsheets, charts, and VBA code needed to perform the examples from the text Solutions to most of the end-of-chapter problems An add-in workbook with more than twenty custom functions This text does not require any background in programming, so it is suitable for both undergraduate and graduate courses. Moreover, practitioners in science and engineering will find that this guide saves hours of time by enabling them to perform most of their calculations with one familiar spreadsheet package

Expanded coverage of essential math, including integral equations, calculus of variations, tensor analysis, and special integrals Math Refresher for Scientists and Engineers, Third Edition is specifically designed as a self-study guide to help busy professionals and students in science and engineering quickly refresh and improve the math skills needed to perform their jobs and advance their careers. The book focuses on practical applications and exercises that readers are likely to face in their professional environments. All the basic math skills needed to manage contemporary technology problems are addressed and presented in a clear, lucid style that readers familiar with previous editions have come to appreciate and value. The book begins with basic concepts in college algebra and trigonometry, and then moves on to explore more advanced concepts in calculus, linear algebra (including matrices), differential equations, probability, and statistics. This Third Edition has been greatly expanded to reflect the needs of today's professionals. New material includes: * A chapter on integral equations * A chapter on calculus of variations * A chapter on tensor analysis * A section on time series * A section on partial fractions * Many new exercises and solutions Collectively, the chapters teach most of the basic math skills needed by scientists and engineers. The wide range of topics covered in one title is unique. All chapters provide a review of important principles and methods. Examples, exercises, and applications are used liberally throughout to engage the readers and assist them in applying their new math skills to actual problems. Solutions to exercises are provided in an appendix. Whether to brush up on professional skills or prepare for exams, readers will find this self-study guide enables them to quickly master the math they need. It can additionally be used as a textbook for advanced-level undergraduates in physics and engineering.

Provides a concise overview of the core undergraduate physics and applied mathematics curriculum for students and practitioners of science and engineering Fundamental Math and Physics for Scientists and Engineers summarizes college and university level physics together with the mathematics frequently encountered in engineering and physics calculations. The presentation provides straightforward, coherent explanations of underlying concepts emphasizing essential formulas, derivations, examples, and computer programs. Content that should be thoroughly mastered and memorized is clearly identified while unnecessary technical details are omitted. Fundamental Math and Physics for Scientists and Engineers is an ideal resource for undergraduate science and engineering students and practitioners, students reviewing for the GRE and graduate-level comprehensive exams, and general readers seeking to improve their comprehension of undergraduate physics. Covers topics frequently encountered in undergraduate physics, in particular those appearing in the Physics GRE subject examination Reviews relevant areas of undergraduate applied mathematics, with an overview chapter on scientific programming Provides simple, concise explanations and illustrations of underlying concepts Succinct yet comprehensive, Fundamental Math and Physics for Scientists and Engineers constitutes a reference for science and engineering students, practitioners and non-practitioners alike.

Domestic Animal Behavior for Veterinarians and Animal Scientists, Sixth Edition is a fully updated revision of this popular, classic text offering a thorough understanding of the normal behavior of domestic animals. Provides a complete understanding of the normal behavior of domestic animals Covers dogs, cats, horses, pigs, sheep, cattle, and goats Describes all key aspects of animal behavior, with images to support the concepts Revised and updated to cover the latest thinking, with enhanced coverage of behavioral genetics, animal cognition, and learning Includes access to a companion website with review questions and answers and the figures from the book in PowerPoint

A SCIENTIFIC APPROACH TO WRITING Technical ideas may be solid or even groundbreaking, but if these ideas cannot be clearly communicated, reviewers of technical documents—e.g., proposals for research funding, articles submitted to scientific journals, and business plans to commercialize technology—are likely to reject the argument for advancing these ideas. The problem is that many engineers and scientists, entirely comfortable with the logic and principles of mathematics and science, treat writing as if it possesses none of these attributes. The absence of a systematic framework for writing often results in sentences that are difficult to follow or arguments that leave reviewers scratching their heads. This book fixes that problem by presenting a “scientific” approach to writing that mirrors the sensibilities of scientists and engineers, an approach based on an easily-discernable set of principles. Rather than merely stating rules for English grammar and composition, this book explains the reasons behind these rules and shows that good reasons can guide every writing decision. This resource is also well suited for the growing number of scientists and engineers in the U.S. and elsewhere who speak English as a second language, as well as for anyone else who just wants to be understood.

The time has come. You are an Earth scientist. You’ve spent weeks, months, years working on this project – now is the time to pull it together for publication. You might be writing an undergraduate or graduate thesis, a research paper for a leading journal, a note for the newsletter of the local amateur scientific society, a book review or an abstract for a specialist geological conference. How do you make the transition from promising unpublished researcher to established academic author? Of course, the phrase ‘academic publishing’ covers a multitude of sins; monographs, research papers, book reviews, conference abstracts or whatever each requires a different approach. You have to decide what it is you are going to write and where to publish it. There are co-authors, supervisors of your degree, peer reviewers and editors to deal with on the way. But the only way to write like an academic is to write like an academic. . . where do you start? You could do much worse than start here. There are many books on how to write and be published aimed at research students and other aspiring academics. Many of these are readable, comprehensive and provide good advice. This book is composed of numerous short chapters on this subject, all directly relevant to one or more aspects of academic publishing and aimed particularly at the Earth scientists in the broadest sense. Geologists will be encouraged to use the book as much as a reference as a reader, ‘dipping in’ to the chapters that contain relevant tips, hints and comments to enable them to improve the paper that they are currently writing. The book is intended to be informative, readable and, above all, of practical application for all readers. In summary, the volume will be a readable compilation investigating many facets of academic publishing relevant to the Earth sciences. It will be of particular interest to postgraduate students, postdocs and new academics

Discover the power of machine learning in the physical sciences with this one-stop resource from a leading voice in the field    Deep Learning for Physical Scientists: Accelerating Research with Machine Learning  delivers an insightful analysis of the transformative techniques being used in deep learning within the physical sciences. The book offers readers the ability to understand, select, and apply the best deep learning techniques for their individual research problem and interpret the outcome.  Designed to teach researchers to think in useful new ways about how to achieve results in their research, the book provides scientists with new avenues to attack problems and avoid common pitfalls and problems. Practical case studies and problems are presented, giving readers an opportunity to put what they have learned into practice, with exemplar coding approaches provided to assist the reader.  From modelling basics to feed-forward networks, the book offers a broad cross-section of machine learning techniques to improve physical science research. Readers will also enjoy:  A thorough introduction to the basic classification and regression with perceptrons An exploration of training algorithms, including back propagation and stochastic gradient descent and the parallelization of training An examination of multi-layer perceptrons for learning from descriptors and de-noising data Discussions of recurrent neural networks for learning from sequences and convolutional neural networks for learning from images A treatment of Bayesian optimization for tuning deep learning architectures Perfect for academic and industrial research professionals in the physical sciences,  Deep Learning for Physical Scientists: Accelerating Research with Machine Learning  will also earn a place in the libraries of industrial researchers who have access to large amounts of data but have yet to learn the techniques to fully exploit that access.  Perfect for academic and industrial research professionals in the physical sciences, Deep Learning for Physical Scientists: Accelerating Research with Machine Learning will also earn a place in the libraries of industrial researchers who have access to large amounts of data but have yet to learn the techniques to fully exploit that access. [/i] This book introduces the reader to the transformative techniques involved in deep learning. A range of methodologies are addressed including: •Basic classification and regression with perceptrons •Training

Effective Online Teaching is an essential resource that offers a clear understanding of how cognition and learning theory applies to online learning. This much-needed resource provides specific strategies for incorporating this knowledge into effective learner-centered teaching that gets results. The book includes strategies on motivation, tailored instruction, interaction, collaboration, monitoring and communication, time and information management, student concerns, and legal and ethical issues. Designed as a text for online instructors, the chapters can be used for self-directed learning or in a formal training setting in concert with the companion Training Manual and CD. «Tina Stavredes has done something sorely needed in the online teaching world —she has successfully combined solid theory and research with the practical application of instructor training. Both the book and the training manual are a 'must' for any online education organization. Bravo!»—Dr. Darcy W. Hardy, assistant vice provost for Technology Education Initiatives, University of Texas at San Antonio, and chair emerita, United States Distance Learning Association «Drawing from years of experience and solidly grounded in an understanding of the adult learner and learning, Stavredes offers dozens of helpful instructor strategies, activities, and resources to support adult learners' success in an online environment. Effective Online Teaching and its accompanying training manual is a 'must-have' set for online instructors in higher education, corporate, and government settings.»—Sharan B. Merriam, professor emeritus of adult education, University of Georgia, and coauthor, Learning in Adulthood «An eminently practical book that provides clear and unpretentious explanations of the learning theories that are essential knowledge for every online teacher, together with equally uncluttered and easy-to-follow guidance about how to apply this knowledge to achieve excellent teaching.»—Michael Grahame Moore, Distinguished Professor of Education, The Pennsylvania State University, and editor, The American Journal of Distance Education

Teaches scientists and engineers leadership skills and problem solving to facilitate management of team members, faculty, and staff This textbook introduces readers to open-ended problems focused on interactions between technical and nontechnical colleagues, bosses, and subordinates. It does this through mini case studies that illustrate scenarios where simple, clear, or exact solutions are not evident. By offering examples of dilemmas in technical leadership along with selected analyses of possible ways to address or consider such issues, aspiring or current leaders are made aware of the types of problems they may encounter. This situational approach also allows the development of methodologies to address these issues as well as future variations or new issues that may arise. Leadership by Engineers and Scientists guides and facilitates approaches to solving leadership/people problems encountered by technically trained individuals. Students and practicing engineers will learn leadership by being asked to consider specific situations, debate how to deal with these issues, and then make decisions based on what they have learned. Readers will learn technical leadership fundamentals; ethics and professionalism; time management; building trust and credibility; risk taking; leadership through questions; creating a vision; team building and teamwork; running an effective meeting; conflict management and resolution; communication; and presenting difficult messages. Describes positive traits and characteristics that technically-trained individuals bring to leadership positions, indicates how to use these skills, and describes attitudes and approaches necessary for effectively serving as leaders Covers negative traits and characteristics that can be detrimental when applied to dealing with others in their role as leaders Discusses situations and circumstances routinely encountered by new and experienced leaders of small teams Facilitates successful transitions into leadership and management positions by individuals with technical backgrounds Indicates how decisions can be reached when constraints of different personalities, time frames, economics, and organization politics and culture inhibit consensus Augments technical training by building awareness of the criticality of people skills in effective leadership Leadership by Engineers and Scientists is an excellent text for technically trained individuals who are considering, anticipating, or have recently been promoted to formal leadership positions in industry or academia.

Ntoumanis and Myers have done sport and exercise science researchers and students a tremendous service in producing An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists. This book has an outstanding compilation of comprehensible chapters dealing with the important concepts and technical minutia of the statistical analyses that sport and exercise science scholars use (or should be using!) in their efforts to conduct meaningful research in the field. It is a resource that all sport and exercise scientists and their students should have on their book shelves. Robert Eklund, School of Sport, University of Stirling, UK Motivating, to have a statistics text devoted to enabling researchers studying sport and exercise science to apply the most sophisticated analytical techniques to their data. Authors hit the mark between using technical language as necessary and user-friendly terms or translations to keep users encouraged. Text covers traditional and well-used tools but also less common and more complex tools, but always with familiar examples to make their explanations come alive. As a dynamic systems theorist and developmentalist, I would love to see more researchers in my area create study designs that would enable the use of tools outlined here, such as multilevel structural equation modeling (MSEM) or mediation & moderation analyses, to uncover cascades of relations among subsystems contributing to motor performance, over time. This text can facilitate that outcome. Beverly D. Ulrich, School of Kinesiology, University of Michigan, USA The domain of quantitative methods is constantly evolving and expanding. This means that there is tremendous pressure on researchers to stay current, both in terms of best practices and improvements in more traditional methods as well as increasingly complex new methods. With this volume Ntoumanis and Myers present a nice cross-section of both, helping sport and exercise science researchers to address old questions in better ways, and, even more excitingly, to address new questions entirely. I have no doubt that this volume will quickly become a lovingly dog-eared companion for students and researchers, helping them to continue to move the field forward. Gregory R. Hancock, University of Maryland and Center for Integrated Latent Variable Research (CILVR), USA