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Calculus

Author : Deborah Hughes-Hallett

Publisher : Wiley

Page : 0 pages

File Size : 41,43 MB

Release : 1997-10-24

Category : Mathematics

ISBN : 9780471164432

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Book Description

A revision of the best selling innovative Calculus text on the market. Functions are presented graphically, numerically, algebraically, and verbally to give readers the benefit of alternate interpretations. The text is problem driven with exceptional exercises based on real world applications from engineering, physics, life sciences, and economics. Revised edition features new sections on limits and continuity, limits, l'Hopital's Rule, and relative growth rates, and hyperbolic functions.



Organic Chemistry

Author : David R. Klein

Publisher : John Wiley & Sons

Page : 1312 pages

File Size : 18,15 MB

Release : 2017-08-14

Category : Science

ISBN : 111944425X

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Book Description

In Organic Chemistry, 3rd Edition, Dr. David Klein builds on the phenomenal success of the first two editions, which presented his unique skills-based approach to learning organic chemistry. Dr. Klein’s skills-based approach includes all of the concepts typically covered in an organic chemistry textbook, and places special emphasis on skills development to support these concepts. This emphasis on skills development in unique SkillBuilder examples provides extensive opportunities for two-semester Organic Chemistry students to develop proficiency in the key skills necessary to succeed in organic chemistry.



Big C++

Author : Cay S. Horstmann

Publisher : John Wiley & Sons

Page : 848 pages

File Size : 41,16 MB

Release : 2020-08-04

Category : Computers

ISBN : 1119739675

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Book Description

Big C++: Late Objects, 3rd Edition focuses on the essentials of effective learning and is suitable for a two-semester introduction to programming sequence. This text requires no prior programming experience and only a modest amount of high school algebra. It provides an approachable introduction to fundamental programming techniques and design skills, helping students master basic concepts and become competent coders. The second half covers algorithms and data structures at a level suitable for beginning students. Horstmann and Budd combine their professional and academic experience to guide the student from the basics to more advanced topics and contemporary applications such as GUIs and XML programming. More than a reference, Big C++ provides well-developed exercises, examples, and case studies that engage students in the details of useful C++ applications. Choosing the enhanced eText format allows students to develop their coding skills using targeted, progressive interactivities designed to integrate with the eText. All sections include built-in activities, open-ended review exercises, programming exercises, and projects to help students practice programming and build confidence. These activities go far beyond simplistic multiple-choice questions and animations. They have been designed to guide students along a learning path for mastering the complexities of programming. Students demonstrate comprehension of programming structures, then practice programming with simple steps in scaffolded settings, and finally write complete, automatically graded programs. The perpetual access VitalSource Enhanced eText, when integrated with your school’s learning management system, provides the capability to monitor student progress in VitalSource SCORECenter and track grades for homework or participation. *Enhanced eText and interactive functionality available through select vendors and may require LMS integration approval for SCORECenter.



Python For Everyone

Author : Cay S. Horstmann

Publisher : Wiley Global Education

Page : 761 pages

File Size : 38,21 MB

Release : 2019-02-21

Category : Computers

ISBN : 1119498619

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Book Description

Python for Everyone, 3rd Edition is an introduction to programming designed to serve a wide range of student interests and abilities, focused on the essentials, and on effective learning. It is suitable for a first course in programming for computer scientists, engineers, and students in other disciplines. This text requires no prior programming experience and only a modest amount of high school algebra. Objects are used where appropriate in early chapters and students start designing and implementing their own classes in Chapter 9. New to this edition are examples and exercises that focus on various aspects of data science.



Statistics

Author : Robin H. Lock

Publisher : John Wiley & Sons

Page : 866 pages

File Size : 32,64 MB

Release : 2020-10-13

Category : Mathematics

ISBN : 1119682169

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Book Description

Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples. More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches.



The Handbook of Communication Engagement

Author : Kim A. Johnston

Publisher : John Wiley & Sons

Page : 603 pages

File Size : 14,33 MB

Release : 2018-04-27

Category : Business & Economics

ISBN : 1119167515

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Book Description

A comprehensive volume that offers the most current thinking on the practice and theory of engagement With contributions from an international panel of leaders representing diverse academic and professional fields The Handbook of Communication Engagement brings together in one volume writings on both the theory and practice of engagement in today’s organizations and societies. The expert contributors explore the philosophical, theoretical, and applied concepts of communication engagement as it pertains to building interaction and connections in a globalized, networked society. The Handbook of Communication Engagement is comprehensive in scope with case studies of engagement from various disciplines including public relations, marketing, advertising, employee relations, education, public diplomacy, and politics. The authors advance the current thinking in engagement theory, strategy, and practice and provide a review of foundational and emerging research in engagement topics. The Handbook of Communication Engagement is an important text that: Provides an overview of the foundations and philosophies of engagement Identifies the contexts of engagement relating to specific areas across government and corporations, including CSR, consumer, activism, diplomacy, digital, and social impact Includes examples of contemporary engagement practice Presents applications of engagement and technology Offers insights on the future directions of engagement The Handbook of Communication Engagement offers an essential reference for advanced undergraduate, graduate students, practitioners and scholars from communication, media, advertising, public relations, public policy, and public diplomacy areas. The volume contains a compendium of the writings on the most recent advances on the theory and practice of engagement. Winner of the 2018 PRIDE Award for Innovation, Development, and Educational Achievement from the Public Relations Division of the National Communication Association.



Data Science Using Python and R

Author : Chantal D. Larose

Publisher : John Wiley & Sons

Page : 256 pages

File Size : 44,3 MB

Release : 2019-04-09

Category : Computers

ISBN : 1119526817

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Book Description

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.



Mathematical Modeling

Author : Jonas Hall

Publisher : John Wiley & Sons

Page : 571 pages

File Size : 24,47 MB

Release : 2016-06-13

Category : Mathematics

ISBN : 1119102693

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Book Description

A logical problem-based introduction to the use of GeoGebra for mathematical modeling and problem solving within various areas of mathematics A well-organized guide to mathematical modeling techniques for evaluating and solving problems in the diverse field of mathematics, Mathematical Modeling: Applications with GeoGebra presents a unique approach to software applications in GeoGebra and WolframAlpha. The software is well suited for modeling problems in numerous areas of mathematics including algebra, symbolic algebra, dynamic geometry, three-dimensional geometry, and statistics. Featuring detailed information on how GeoGebra can be used as a guide to mathematical modeling, the book provides comprehensive modeling examples that correspond to different levels of mathematical experience, from simple linear relations to differential equations. Each chapter builds on the previous chapter with practical examples in order to illustrate the mathematical modeling skills necessary for problem solving. Addressing methods for evaluating models including relative error, correlation, square sum of errors, regression, and confidence interval, Mathematical Modeling: Applications with GeoGebra also includes: Over 400 diagrams and 300 GeoGebra examples with practical approaches to mathematical modeling that help the reader develop a full understanding of the content Numerous real-world exercises with solutions to help readers learn mathematical modeling techniques A companion website with GeoGebra constructions and screencasts Mathematical Modeling: Applications with GeoGebrais ideal for upper-undergraduate and graduate-level courses in mathematical modeling, applied mathematics, modeling and simulation, operations research, and optimization. The book is also an excellent reference for undergraduate and high school instructors in mathematics.



Global Climate Change and Human Health

Author : Jay Lemery

Publisher : John Wiley & Sons

Page : 674 pages

File Size : 34,43 MB

Release : 2021-05-11

Category : Medical

ISBN : 111966795X

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Book Description

Learn more about the impact of global warming and climate change on human health and disease The Second Edition of Global Climate Change and Human Health delivers an accessible and comprehensive exploration of the rapidly accelerating and increasingly ubiquitous effects of climate change and global warming on human health and disease. The distinguished and accomplished authors discuss the health impacts of the economic, climatological, and geopolitical effects of global warming. You'll learn about: The effect of extreme weather events on public health and the effects of changing meteorological conditions on human health How changes in hydrology impact the spread of waterborne disease and noninfectious waterborne threats Adaptation to, and the mitigation and governance of, climate change, including international perspectives on climate change adaptation Perfect for students of public health, medicine, nursing, and pharmacy, Global Climate Change and Human Health, Second Edition is an invaluable resource for anyone with an interest in the intersection of climate and human health and disease.



Applied Logistic Regression

Author : David W. Hosmer, Jr.

Publisher : John Wiley & Sons

Page : 397 pages

File Size : 12,94 MB

Release : 2004-10-28

Category : Mathematics

ISBN : 0471654027

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Book Description

From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references." —Choice "Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent." —Contemporary Sociology "An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical." —The Statistician In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.