Barron's AP World History


John McCannon - 2008
    An extensive subject review covers the following general areas: Foundations of World Civilization (8000 B.C.–1000 A.D.) World Cultures Maturing (1000–1450) World Cultures Interacting (1450–1750) World Cultures in the Modern Era (1750–1914) The 20th Century and Contemporary World Cultures (1914–2009)

Chemistry and Chemical Reactivity (with General ChemistryNOW CD-ROM)


John C. Kotz - 1987
    This revision includes General ChemistryNow, a new CD-ROM and web-based learning system that focuses on goals, connections, and complete integration with the text.

The American Community College


Arthur M. Cohen - 1989
    Anyone who wants to understand these complex and dynamic institutions—how they are evolving, the contributions they make, the challenges they face, the students they serve, and the faculty and leaders who deliver the services and the curricula—will find The American Community College both essential reading and an important reference book."—George R. Boggs, president and CEO, American Association of Community Colleges"I have been a community college president for over forty-one years and a graduate professor for three decades. This book has been an inspiration to generations of students, faculty members, and administrators. It has become the classic of the field because it has great 'take-home' value to us all."—Joseph N. Hankin, president, Westchester Community College"In this latest edition of The American Community College, the authors continue to manifest their unique, highly knowledgeable perspective about the community college. This book is must-reading for all who desire to understand one of the most important educational institutions in the twenty-first century."—Barbara K. Townsend, professor and director, Center for Community College Research, College of Education, University of Missouri–Columbia"Cohen and Brawer's classic work is the touchstone for a comprehensive overview of the American community college. This is a seminal book for graduate students as well as seasoned professionals for understanding this uniquely American institution."—Charles R. Dassance, president, Central Florida Community College

Elements of Electromagnetics


Matthew N.O. Sadiku - 1993
    The book also provides a balanced presentation of time-varying and static fields, preparingstudents for employment in today's industrial and manufacturing sectors. Streamlined to facilitate student understanding, this edition features worked examples in every chapter that explain how to use the theory presented in the text to solve different kinds of problems. Numerical methods, including MATLAB and vector analysis, are also included to help students analyzesituations that they are likely to encounter in industry practice. Elements of Electromagnetics, Fifth Edition, is designed for introductory undergraduate courses in electromagnetics.

Java SE 6: The Complete Reference


Herbert Schildt - 2006
    He includes information on Java Platform Standard Edition 6 (Java SE 6) and offers complete coverage of the Java language, its syntax, keywords, and fundamental programming principles.

A-Level Physics


Roger Muncaster - 1981
    New 'Consolidation' sections and questions designed to provide a link between GCSE and A-level feature in the text.At the end of each section there are many questions - ideal for consolidation and revision - mainly from past A-level examination papers. Over 15 of these past-paper questions have been added in the Fourth Edition. Answers are included.

Understanding Human Behavior and the Social Environment


Charles Zastrow - 1987
    Now available with a personalized online learning plan, this social work-specific book looks at lifespan through the lens of social work theory and practice. The authors use an empowerment approach to cover human development and behavior theories within the context of family, organizational, and community systems. Using a chronological lifespan approach, the authors present separate chapters on biological, psychological, and social impacts at the different lifespan stages with an emphasis on strengths and empowerment.

Software Engineering (International Computer Science Series)


Ian Sommerville - 1982
    Restructured into six parts, this new edition covers a wide spectrum of software processes from initial requirements solicitation through design and development.

Mechanical Vibrations (S. I. Units)


G.K. Grover - 1996
    

Molecular Biotechnology: Principles & Applications of Recombinant DNA


Bernard R. Glick - 1994
    The latest edition offers greatly expanded coverage of directed mutagenesis and protein engineering, therapeutic agents, and genetic engineering of plants. Updated chapters reflect recent developments in biotechnology and the societal issues related to it, such as cloning, gene therapy, and patenting and releasing genetically engineered organisms. Over 480 figures, including 200 that are new in this edition, illustrate all key concepts. "Milestones" summarize important research papers in the history of biotechnology and their effects on the field. As in previous editions, the authors clearly explain all concepts and techniques to provide maximum understanding of the subject, avoiding confusing scientific jargon and excessive detail wherever possible. Each chapter concludes with a summary, references, and review questions. Ideally suited as a text for third- and fourth-year undergraduates as well as graduate students, this book is also an excellent reference for health professionals, scientists, engineers, or attorneys interested in biotechnology.

Pattern Recognition and Machine Learning


Christopher M. Bishop - 2006
    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Introduction to Business [With Booklet]


Jeff Madura - 1997
    This text's applied approach addresses how and why a business operates. Students can then build upon their practical skills through examples, exercises and projects to help them gain a full understanding of how and why to develop a business plan. Each text is packaged with a Business Plan Booklet and CD-ROM, which are tied to end-of-part features, allowing students hands-on practice in creating a sound business plan. Through lively examples this text emphasizes key core skill areas including, Decision-Making and Planning, Teamwork, Technology, and Communication.

The Feynman Lectures on Physics Vol 1


Richard P. Feynman - 1963
    This edition, which was prepared by Kip S. Thorne (Feynman Professor of Theoretical Physics at California Institute of Technology), fully incorporates all the errata and corrections gathered (but never used in a published edition) by Feynman.

Structures: Or Why Things Don't Fall Down


J.E. Gordon - 1978
    Gordon strips engineering of its confusing technical terms, communicating its founding principles in accessible, witty prose.For anyone who has ever wondered why suspension bridges don't collapse under eight lanes of traffic, how dams hold back--or give way under--thousands of gallons of water, or what principles guide the design of a skyscraper, a bias-cut dress, or a kangaroo, this book will ease your anxiety and answer your questions.Structures: Or Why Things Don't Fall Down is an informal explanation of the basic forces that hold together the ordinary and essential things of this world--from buildings and bodies to flying aircraft and eggshells. In a style that combines wit, a masterful command of his subject, and an encyclopedic range of reference, Gordon includes such chapters as "How to Design a Worm" and "The Advantage of Being a Beam," offering humorous insights in human and natural creation.Architects and engineers will appreciate the clear and cogent explanations of the concepts of stress, shear, torsion, fracture, and compression. If you're building a house, a sailboat, or a catapult, here is a handy tool for understanding the mechanics of joinery, floors, ceilings, hulls, masts--or flying buttresses.Without jargon or oversimplification, Structures opens up the marvels of technology to anyone interested in the foundations of our everyday lives.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data


Hadley Wickham - 2016
    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results