This approach will captivate students and encourage them to think critically about the nature of public administration today. Introducing Public Administration provides students with a solid, conceptual foundation in public administration, and contains the latest information on important trends in the discipline. To further engage students and deepen interest in its narrative, the text uses unique chapter-opening vignettes called Keynotes, chapter ending case studies, and a series of boxes throughout that offer real-life excerpts and alternative theories.

    These authoritative authors continue to define the MIS course by integrating coverage of essential new technologies, their applications, and their impact on managerial decisions.

    Expertly designed in a vibrant, full-color format, this streamlined text not only serves as a valuable resource by providing the most current reference lists and examples from which to select texts from all genres, but it also emphasizes the critical skills needed to search for and select literature--researching, evaluating, and implementing quality books in the pre-K-to-8 classroom--to give readers the tools they need to evaluate books, create curriculum, and share the love of literature. It includes unique features that spur critical thinking and direct application in the classroom and curriculum.

    *Thorough examination of standards-based assessment and standardized testing. * Practical examples illustrate principles. *End-of-chapter exercises and suggested additional readings provide opportunities for further exploration.

    Designed to provide the student with an excellent command of basic Russian (the equivalent of A’ level standard) the book features thirty lessons punctuated by revision exercises to ensure you have fully understood what you have learned. The emphasis is on acquiring vocabulary, experiencing conversational language and learning useful grammar. The book also includes a vocabulary of 1,500 words and a glossary of grammatical terms.

    Based on recent interviews with 40 grantmakers, the Guide illuminates the latest trends in grantmaking and proposal reviews. It includes the most current techniques for researching funders and an all-new chapter on crafting the project evaluation component of a grant proposal.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    An exciting revision of this innovative text, Earth: Portrait of a Planet, Third Edition, emphasizes active student learning with a new chapter format, interactive media, and the power and insight of Google Earth .

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    The thirty-five chapters describe the life of a Roman family in the 2nd century A.D., and culminate in readings from classical poets and Donatus's Ars Grammatica, the standard Latin school text for a millenium. Each chapter is divided into two or three lectiones (lessons) of a couple pages each followed by a grammar section, Grammatica Latina, and three exercises or Pensa. Hans Ørberg's impeccable latinity, humorous stories, and the Peer Lauritzen illustrations make this work a classic. The book includes a table of inflections, a Roman calendar, and a word index, Index vocabulorum.

    For each question, there is a concise explanation of how to apply it in the evaluation of research reports.Numerous examples from journals in the social and behavioral sciences illustrate the application of the evaluation questions. Students see actual examples of strong and weak features of published reports.Commonsense models for evaluation combined with a lack of jargon make it possible for students to start evaluating research articles the first week of class.The structure of this book enables students to work with confidence while evaluating articles for homework.Avoids oversimplification in the evaluation process by describing the nuances that may make an article publishable even though it has serious methodological flaws. Students learn when and why certain types of flaws may be tolerated. They learn why evaluation should not be performed mechanically.This book received very high student evaluations when field-tested with students just beginning their study of research methods.Contains more than 60 new examples from recently published research. In addition, minor changes have been made throughout for consistency with the latest edition of the Publication Manual of the American Psychological Association."

    The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a thorough introduction to compiler design and covers topics such as context-free grammars, fine state machines, and syntax-directed translation.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    The Official Cambridge Guide To Ielts Student's Book With Answers With Dvd Rom

    This friendly, easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! Authors Lora Delwiche and Susan Slaughter have revised the text to include concepts of the Output Delivery System; the STYLE= option in the PRINT, REPORT, and TABULATE procedures; ODS HTML, RTF, PRINTER, and OUTPUT destinations; PROC REPORT; more on PROC TABULATE; exporting data; and the colon modifier for informats. You'll find clear and concise explanations of basic SAS concepts (such as DATA and PROC steps), inputting data, modifying and combining data sets, summarizing and presenting data, basic statistical procedures, and debugging SAS programs. Each topic is presented in a self-contained, two-page layout complete with examples and graphics. This format enables new users to get up and running quickly, while the examples allow you to type in the program and see it work!