In this revision, the author takes a structured approach to explaining how networks function.

    This long-time leading course book is an invaluable source for prospective trial lawyers, presenting: - a best-selling author renowned for his skills both as a writer and litigator - a clear, engaging writing style that breaks the trial process down into its critical components for more thorough and efficient comprehension - excellent examples illustrating strategies for opening statements, jury selection, direct- and cross-examination, exhibits, objections, and more - an appendix containing the Federal Rules of Evidence for easy reference

    You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation.Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data--Storytelling with Data will give you the skills and power to tell it!

    For business students, the theory advanced in this book is an essential tool for understanding the logic and the key aspects of the marketing process. For managers and consultants, this book presents a conceptual framework that will help develop an overarching strategy for day-to-day decisions involving product and service design, branding, pricing, promotions, and distribution. For senior executives, the book provides a big-picture approach for developing new marketing campaigns and evaluating the success of ongoing marketing programs.

    This book is mainly an attempt to be precise about the types of difficulties to be found in basic writing papers and beyond that, to demonstrate how the sources of those difficulties can be explained without recourse to such empty terms as 'handicapped' or 'disadvantaged.' This book is divided into sections of difficulty such as, handwriting and punctuation, syntax, common errors, spelling, vocabulary, and beyond the sentence.

    Well-known scholars in the field explore the important qualities and functions of English studies' constituent disciplines--Ellen Barton on linguistics and discourse analysis, Janice Lauer on rhetoric and composition, Katharine Haake on creative writing, Richard Taylor on literature and literary criticism, Amy Elias on critical theory and cultural studies, and Robert Yagelski on English education--and the productive differences and similarities among them that define English studies' continuing importance.Faculty and students in both undergraduate and graduate courses will find the volume an invaluable overview of an increasingly fragmented field, as will department administrators who are responsible for evaluating the contributions of diverse faculty members but whose academic training may be specific to one discipline.Each chapter of English Studies is an argument for the value--the right to equal status--of each individual discipline among all English studies disciplines, yet the book is also an argument for disciplinary integration.

    It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.

    Designing successful products and services in the digital age requires a multi-disciplinary team with expertise in interaction design, visual design, industrial design, and other disciplines. It also takes the ability to come up with the big ideas that make a desirable product or service, as well as the skill and perseverance to execute on the thousand small ideas that get your design into the hands of users. It requires expertise in project management, user research, and consensus-building. This comprehensive, full-color volume addresses all of these and more with detailed how-to information, real-life examples, and exercises. Topics include assembling a design team, planning and conducting user research, analyzing your data and turning it into personas, using scenarios to drive requirements definition and design, collaborating in design meetings, evaluating and iterating your design, and documenting finished design in a way that works for engineers and stakeholders alike.

    You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

    It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

    

    Cahn's advice on the professorial life covers an extensive range of critical issues: how to plan, complete, and defend a dissertation; how to navigate a job interview; how to improve teaching performance; how to prepare and publish research; how to develop a professional network; and how to garner support for tenure. He deals with such hurdles as a difficult dissertation advisor, problematic colleagues, and the pressures of the tenure clock. Whether you are beginning graduate study, hoping to secure an academic position, or striving to build a professorial career, Cahn's insights are invaluable to traversing the thickets of academia.

    This engaging introductory language/linguistics textbook provides more extensive coverage of issues of particular interest to English majors and future English instructors. It invites all students to connect academic linguistics to the everyday use of the English language around them. The book's approach taps students' natural curiosity about the English language. Through exercises and discussion questions about ongoing changes in English, How English Works asks students to become active participants in the construction of linguistic knowledge.

    This text helps develop in readers the skills, knowledge and strategies needed to read and interpret research reports and to evaluate the quality of such reports.

    The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject.