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Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.
This book offers a new approach to introductory scientific computing. It aims to make students comfortable using computers to do science, to provide them with the computational tools and knowledge they need throughout their college careers and into their professional careers, and to show how all the pieces can work together. Rubin Landau introduces the requisite mathematics and computer science in the course of realistic problems, from energy use to the building of skyscrapers to projectile motion with drag. He is attentive to how each discipline uses its own language to describe the same concepts and how computations are concrete instances of the abstract. Landau covers the basics of computation, numerical analysis, and programming from a computational science perspective. The first part of the printed book uses the problem-solving environment Maple as its context, with the same material covered on the accompanying CD as both Maple and Mathematica programs; the second part uses the compiled language Java, with equivalent materials in Fortran90 on the CD; and the final part presents an introduction to LaTeX replete with sample files. Providing the essentials of computing, with practical examples, A First Course in Scientific Computing adheres to the principle that science and engineering students learn computation best while sitting in front of a computer, book in hand, in trial-and-error mode. Not only is it an invaluable learning text and an essential reference for students of mathematics, engineering, physics, and other sciences, but it is also a consummate model for future textbooks in computational science and engineering courses. A broad spectrum of computing tools and examples that can be used throughout an academic career Practical computing aimed at solving realistic problems Both symbolic and numerical computations A multidisciplinary approach: science + math + computer science Maple and Java in the book itself; Mathematica, Fortran90, Maple and Java on the accompanying CD in an interactive workbook format
Revised and updated, Royce's Introduction to the Practice of Fishery Science is a classic text. With a new chapter on aquaculture, this book provides the background for a first course in fishery science. Intentionally focused on the practical and professional requirements of careers in the management and maintenance of fisheries, this text will be useful to students as well as to established professionals.
Prose Award Finalist for Nursing and Allied Health Services Category! Awarded First Place in the AJN 2022 Book of the Year Awards in the Community/Public Health Category! "Practical Implementation Science: Moving Evidence Into Action provides the ideal text for a master’s-level implementation science course. It fills an important gap by focusing on building skills among trainees whose careers will focus more on implementation practice than research, and prepares them to partner with scientists to enhance effective implementation in public health and health systems. Most importantly, my students feel that the book is helping make a topic that can be experienced as complex, very accessible." Donna Shelley, MD, MPH Professor Dept. Public Health Policy and Management Director, Global Center for Implementation Science NYU School of Global Public Health Practical Implementation Science is designed for graduate health professional and advanced undergraduate students who want to master the steps of using implementation science to improve public health. Engaging and accessible, this textbook demonstrates how to implement evidence-based practices effectively through use of relevant theories, frameworks, models, tools, and research findings. Additional real-world case studies across public health, global health, and health policy provide essential context to the major issues facing implementation domestically and globally with consideration of communities in low-to-middle-income countries (LMIC). The textbook is organized around the steps involved in planning, executing, and evaluating implementation efforts to improve health outcomes in communities. Coverage spans assessing the knowledge-practice gap; selecting an evidence-based practice (EBP) to reduce the gap; assessing EBP fit and adapting the EBP; assessing barriers and facilitators of implementation; engaging stakeholders; creating an implementation structure; implementing the EBP; and evaluating the EBP effort. Each chapter includes a "how to" approach to conducting the task at hand. The text also addresses the practical importance of implementation science through disseminating EBPs; scaling up EBPs; sustaining EBPs; and de-implementing practices that are no longer effective. All chapters include learning objectives and summaries with emphasized Key Points for Practice, Common Pitfalls in Practice, and discussion questions to direct learning and classroom discussion. Fit for students of public health, health policy, nursing, medicine, mental health, behavioral health, allied health, and social work, Practical Implementation Science seeks to bridge the gap from scientific evidence to effective practice. Key Features: Soup to Nuts Approach – Distills the steps to selecting, adapting, implementing, evaluating, scaling up, and sustaining evidence-based practices Expert Insight – Editors and chapter authors bring years of experience from leading implementation programs and interventions Multidisciplinary Focus – Utilizes cases and research findings relevant to students of public health, medicine, nursing, mental health, behavioral health, and social work Case Studies and Real-World Examples – Blends frameworks, models, and tools with real-world examples for students interested in both domestic and global health eBook Access – Included with print purchase for use on most mobile devices or computers Instructor's Packet – Complete with an Instructor's Manual, PowerPoint slides, and a Sample Syllabus
Offers students a practical knowledge of modern techniques in scientific computing.
This is the second edition of a highly successful textbook (over 50,000 copies sold) in which a highly illustrated, narrative text is combined with easy–to–use thoroughly reliable laboratory protocols. It contains a fully up–to–date collection of 12 rigorously tested and reliable lab experiments in molecular biology, developed at the internationally renowned Dolan DNA Learning Center of Cold Spring Harbor Laboratory, which culminate in the construction and cloning of a recombinant DNA molecule. Proven through more than 10 years of teaching at research and nonresearch colleges and universities, junior colleges, community colleges, and advanced biology programs in high school, this book has been successfully integrated into introductory biology, general biology, genetics, microbiology, cell biology, molecular genetics, and molecular biology courses. The first eight chapters have been completely revised, extensively rewritten, and updated. The new coverage extends to the completion of the draft sequence of the human genome and the enormous impact these and other sequence data are having on medicine, research, and our view of human evolution. All sections on the concepts and techniques of molecular biology have been updated to reflect the current state of laboratory research. The laboratory experiments cover basic techniques of gene isolation and analysis, honed by over 10 years of classroom use to be thoroughly reliable, even in the hands of teachers and students with no prior experience. Extensive prelab notes at the beginning of each experiment explain how to schedule and prepare, while flow charts and icons make the protocols easy to follow. As in the first edition of this book, the laboratory course is completely supported by quality–assured products from the Carolina Biological Supply Company, from bulk reagents, to useable reagent systems, to single–use kits, thus satisfying a broad range of teaching applications.
For readers with some competence in PDE solution properties, this book offers an interdisciplinary approach to problems occurring in natural environmental media: the hydrosphere, atmosphere, cryosphere, lithosphere, biosphere and ionosphere. It presents two major discretization methods: Finite Difference and Finite Element, plus a section on practical approaches to ill-posed problems. The blend of theory, analysis, and implementation practicality supports solving and understanding complicated problems.