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foundations of business programming rutgers: Employee Ownership Joseph R. Blasi, 1988 |
foundations of business programming rutgers: Introduction to Programming in Java: An Interdisciplinary Approach Robert Sedgewick, Kevin Wayne, 2013-07-31 By emphasizing the application of computer programming not only in success stories in the software industry but also in familiar scenarios in physical and biological science, engineering, and applied mathematics, Introduction to Programming in Java takes an interdisciplinary approach to teaching programming with the Java(TM) programming language. Interesting applications in these fields foster a foundation of computer science concepts and programming skills that students can use in later courses while demonstrating that computation is an integral part of the modern world. Ten years in development, this book thoroughly covers the field and is ideal for traditional introductory programming courses. It can also be used as a supplement or a main text for courses that integrate programming with mathematics, science, or engineering. |
foundations of business programming rutgers: Essentials of Programming Languages, third edition Daniel P. Friedman, Mitchell Wand, 2008-04-18 A new edition of a textbook that provides students with a deep, working understanding of the essential concepts of programming languages, completely revised, with significant new material. This book provides students with a deep, working understanding of the essential concepts of programming languages. Most of these essentials relate to the semantics, or meaning, of program elements, and the text uses interpreters (short programs that directly analyze an abstract representation of the program text) to express the semantics of many essential language elements in a way that is both clear and executable. The approach is both analytical and hands-on. The book provides views of programming languages using widely varying levels of abstraction, maintaining a clear connection between the high-level and low-level views. Exercises are a vital part of the text and are scattered throughout; the text explains the key concepts, and the exercises explore alternative designs and other issues. The complete Scheme code for all the interpreters and analyzers in the book can be found online through The MIT Press web site. For this new edition, each chapter has been revised and many new exercises have been added. Significant additions have been made to the text, including completely new chapters on modules and continuation-passing style. Essentials of Programming Languages can be used for both graduate and undergraduate courses, and for continuing education courses for programmers. |
foundations of business programming rutgers: Programming Language Fundamentals by Example D.E. Stevenson, 2006-11-10 Written in an informal yet informative style, Programming Language Fundamentals by Example uses active learning techniques, giving students a professional learning experience based on professional methods applied with professional standards. It provides an understanding of the many languages and notations used in computer science, the formal models |
foundations of business programming rutgers: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. |
foundations of business programming rutgers: Bond Markets, Analysis, and Strategies, tenth edition Frank J. Fabozzi, Francesco A. Fabozzi, 2021-12-07 The updated edition of a widely used textbook that covers fundamental features of bonds, analytical techniques, and portfolio strategy. This new edition of a widely used textbook covers types of bonds and their key features, analytical techniques for valuing bonds and quantifying their exposure to changes in interest rates, and portfolio strategies for achieving a client’s objectives. It includes real-world examples and practical applications of principles as provided by third-party commercial vendors. This tenth edition has been substantially updated, with two new chapters covering the theory and history of interest rates and the issues associated with bond trading. Although all chapters have been updated, particularly those covering structured products, the chapters on international bonds and managing a corporate bond portfolio have been completely revised. The book covers the basic analytical framework necessary to understand the pricing of bonds and their investment characteristics; sectors of the debt market, including Treasury securities, corporate bonds, municipal bonds, and structured products (residential and commercial mortgage-backed securities and asset-backed securities); collective investment vehicles; methodologies for valuing bonds and derivatives; corporate bond credit risk; portfolio management, including the fundamental and quantitative approaches; and instruments that can be used to control portfolio risk. |
foundations of business programming rutgers: Statistical Foundations of Data Science Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou, 2020-09-21 Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning. |
foundations of business programming rutgers: Business and Consumer Analytics: New Ideas Pablo Moscato, Natalie Jane de Vries, 2019-05-30 This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook. |
foundations of business programming rutgers: Software for Data Analysis John Chambers, 2008-06-14 John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved. |
foundations of business programming rutgers: Introduction to Information Systems R. Kelly Rainer, Efraim Turban, 2008-01-09 WHATS IN IT FOR ME? Information technology lives all around us-in how we communicate, how we do business, how we shop, and how we learn. Smart phones, iPods, PDAs, and wireless devices dominate our lives, and yet it's all too easy for students to take information technology for granted. Rainer and Turban's Introduction to Information Systems, 2nd edition helps make Information Technology come alive in the classroom. This text takes students where IT lives-in today's businesses and in our daily lives while helping students understand how valuable information technology is to their future careers. The new edition provides concise and accessible coverage of core IT topics while connecting these topics to Accounting, Finance, Marketing, Management, Human resources, and Operations, so students can discover how critical IT is to each functional area and every business. Also available with this edition is WileyPLUS - a powerful online tool that provides instructors and students with an integrated suite of teaching and learning resources in one easy-to-use website. The WileyPLUS course for Introduction to Information Systems, 2nd edition includes animated tutorials in Microsoft Office 2007, with iPod content and podcasts of chapter summaries provided by author Kelly Rainer. |
foundations of business programming rutgers: Handbook of Social and Emotional Learning Joseph A. Durlak, Celene E. Domitrovich, Roger P. Weissberg, Thomas P. Gullotta, 2016-10-26 The burgeoning multidisciplinary field of social and emotional learning (SEL) now has a comprehensive and definitive handbook covering all aspects of research, practice, and policy. The prominent editors and contributors describe state-of-the-art intervention and prevention programs designed to build students' skills for managing emotions, showing concern for others, making responsible decisions, and forming positive relationships. Conceptual and scientific underpinnings of SEL are explored and its relationship to children's and adolescents' academic success and mental health examined. Issues in implementing and assessing SEL programs in diverse educational settings are analyzed in depth, including the roles of school- and district-level leadership, teacher training, and school-family partnerships. |
foundations of business programming rutgers: Modern Portfolio Theory Jack Clark Francis, Dongcheol Kim, 2013-01-18 A through guide covering Modern Portfolio Theory as well as the recent developments surrounding it Modern portfolio theory (MPT), which originated with Harry Markowitz's seminal paper Portfolio Selection in 1952, has stood the test of time and continues to be the intellectual foundation for real-world portfolio management. This book presents a comprehensive picture of MPT in a manner that can be effectively used by financial practitioners and understood by students. Modern Portfolio Theory provides a summary of the important findings from all of the financial research done since MPT was created and presents all the MPT formulas and models using one consistent set of mathematical symbols. Opening with an informative introduction to the concepts of probability and utility theory, it quickly moves on to discuss Markowitz's seminal work on the topic with a thorough explanation of the underlying mathematics. Analyzes portfolios of all sizes and types, shows how the advanced findings and formulas are derived, and offers a concise and comprehensive review of MPT literature Addresses logical extensions to Markowitz's work, including the Capital Asset Pricing Model, Arbitrage Pricing Theory, portfolio ranking models, and performance attribution Considers stock market developments like decimalization, high frequency trading, and algorithmic trading, and reveals how they align with MPT Companion Website contains Excel spreadsheets that allow you to compute and graph Markowitz efficient frontiers with riskless and risky assets If you want to gain a complete understanding of modern portfolio theory this is the book you need to read. |
foundations of business programming rutgers: An Introduction to Community Development Rhonda Phillips, Robert Pittman, 2014-11-26 Beginning with the foundations of community development, An Introduction to Community Development offers a comprehensive and practical approach to planning for communities. Road-tested in the authors’ own teaching, and through the training they provide for practicing planners, it enables students to begin making connections between academic study and practical know-how from both private and public sector contexts. An Introduction to Community Development shows how planners can utilize local economic interests and integrate finance and marketing considerations into their strategy. Most importantly, the book is strongly focused on outcomes, encouraging students to ask: what is best practice when it comes to planning for communities, and how do we accurately measure the results of planning practice? This newly revised and updated edition includes: increased coverage of sustainability issues, discussion of localism and its relation to community development, quality of life, community well-being and public health considerations, and content on local food systems. Each chapter provides a range of reading materials for the student, supplemented with text boxes, a chapter outline, keywords, and reference lists, and new skills based exercises at the end of each chapter to help students turn their learning into action, making this the most user-friendly text for community development now available. |
foundations of business programming rutgers: Ant Colony Optimization Marco Dorigo, Thomas Stutzle, 2004-06-04 An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms. |
foundations of business programming rutgers: Artificial Intelligence in Accounting and Auditing Mariarita Pierotti, |
foundations of business programming rutgers: Distributed Blackness André Brock, Jr., 2020-02-25 Winner, 2021 Harry Shaw and Katrina Hazzard-Donald Award for Outstanding Work in African-American Popular Culture Studies, given by the Popular Culture Association Winner, 2021 Nancy Baym Annual Book Award, given by the Association of Internet Researchers An explanation of the digital practices of the black Internet From BlackPlanet to #BlackGirlMagic, Distributed Blackness places blackness at the very center of internet culture. André Brock Jr. claims issues of race and ethnicity as inextricable from and formative of contemporary digital culture in the United States. Distributed Blackness analyzes a host of platforms and practices (from Black Twitter to Instagram, YouTube, and app development) to trace how digital media have reconfigured the meanings and performances of African American identity. Brock moves beyond widely circulated deficit models of respectability, bringing together discourse analysis with a close reading of technological interfaces to develop nuanced arguments about how “blackness” gets worked out in various technological domains. As Brock demonstrates, there’s nothing niche or subcultural about expressions of blackness on social media: internet use and practice now set the terms for what constitutes normative participation. Drawing on critical race theory, linguistics, rhetoric, information studies, and science and technology studies, Brock tabs between black-dominated technologies, websites, and social media to build a set of black beliefs about technology. In explaining black relationships with and alongside technology, Brock centers the unique joy and sense of community in being black online now. |
foundations of business programming rutgers: Fundamentals of a Sea Grant Extension Program National Sea Grant College Program (U.S.), 2000 |
foundations of business programming rutgers: Introduction to Mathematical Analysis William R. Parzynski, Philip W. Zipse, 1982 |
foundations of business programming rutgers: Nonlinear Optimization Andrzej Ruszczynski, 2011-09-19 Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, principles, and methods within a reasonable time, but without sacrificing mathematical precision. Andrzej Ruszczynski, a leading expert in the optimization of nonlinear stochastic systems, integrates the theory and the methods of nonlinear optimization in a unified, clear, and mathematically rigorous fashion, with detailed and easy-to-follow proofs illustrated by numerous examples and figures. The book covers convex analysis, the theory of optimality conditions, duality theory, and numerical methods for solving unconstrained and constrained optimization problems. It addresses not only classical material but also modern topics such as optimality conditions and numerical methods for problems involving nondifferentiable functions, semidefinite programming, metric regularity and stability theory of set-constrained systems, and sensitivity analysis of optimization problems. Based on a decade's worth of notes the author compiled in successfully teaching the subject, this book will help readers to understand the mathematical foundations of the modern theory and methods of nonlinear optimization and to analyze new problems, develop optimality theory for them, and choose or construct numerical solution methods. It is a must for anyone seriously interested in optimization. |
foundations of business programming rutgers: Understanding and Shaping Curriculum Thomas W. Hewitt, 2006-02-13 Understanding and Shaping Curriculum: What We Teach and Why introduces readers to curriculum as knowledge, curriculum as work, and curriculum as professional practice. Author Thomas W. Hewitt discusses curriculum from theoretical and practical perspectives to not only acquaint readers with the study of curriculum, but also help them to become effective curriculum practitioners. Key Features: Emphasizes the various dimensions of curriculum practice: Becoming a curriculum practitioner requires understanding academic-practice knowledge, the forces shaping curriculum, the array of curriculum work from policymaking to evaluation, and how those are integrated forming a sense of professional practice. This book examines curriculum knowledge that is both academic and practice based. Brings theoretical concepts to life: ′Perspective into Practice′ sections illustrate the relevance of the material to both elementary and secondary school settings and contexts. In addition, end-of-chapter resources provide ideas for further discussion and assignments that address different roles and the various dimensions of curriculum practice. Examines current issues: Part of being a good practitioner is understanding the inevitability of change and the necessity to keep current about issues and trends that affect both the knowledge and the work of curriculum. Separate chapters on issues and trends give students the opportunity to explore what is happening in today′s schools and curriculum. Intended Audience: This is an ideal text for masters and doctoral-level courses on Curriculum, Curriculum Development, and Curriculum Design. |
foundations of business programming rutgers: Macroeconomic Policy Farrokh Langdana, 2009-04-05 This is an applications-oriented text that demystifies the linkages between monetary and fiscal policies and key macroeconomic variables such as income, unemployment, inflation and interest rates. Specially written newspaper articles simulate current macroeconomic news on asset-price bubbles, exchange rates, hyperinflation and more. Exercises and diagrams, and a global perspective – incorporating both developed and emerging economies - make this a broadly useful, real-world oriented text on a complex and shifting subject. |
foundations of business programming rutgers: Promoting Social and Emotional Learning Maurice J. Elias, 1997 The authors draw upon scientific studies, theories, site visits, nd their own extensive experiences to describe approaches to social and emotional learning for all levels. |
foundations of business programming rutgers: Dark Ecology Timothy Morton, 2016-04-12 Timothy Morton argues that ecological awareness in the present Anthropocene era takes the form of a strange loop or Möbius strip, twisted to have only one side. Deckard travels this oedipal path in Blade Runner (1982) when he learns that he might be the enemy he has been ordered to pursue. Ecological awareness takes this shape because ecological phenomena have a loop form that is also fundamental to the structure of how things are. The logistics of agricultural society resulted in global warming and hardwired dangerous ideas about life-forms into the human mind. Dark ecology puts us in an uncanny position of radical self-knowledge, illuminating our place in the biosphere and our belonging to a species in a sense that is far less obvious than we like to think. Morton explores the logical foundations of the ecological crisis, which is suffused with the melancholy and negativity of coexistence yet evolving, as we explore its loop form, into something playful, anarchic, and comedic. His work is a skilled fusion of humanities and scientific scholarship, incorporating the theories and findings of philosophy, anthropology, literature, ecology, biology, and physics. Morton hopes to reestablish our ties to nonhuman beings and to help us rediscover the playfulness and joy that can brighten the dark, strange loop we traverse. |
foundations of business programming rutgers: Small Teaching Online Flower Darby, James M. Lang, 2019-05-15 Find out how to apply learning science in online classes The concept of small teaching is simple: small and strategic changes have enormous power to improve student learning. Instructors face unique and specific challenges when teaching an online course. This book offers small teaching strategies that will positively impact the online classroom. This book outlines practical and feasible applications of theoretical principles to help your online students learn. It includes current best practices around educational technologies, strategies to build community and collaboration, and minor changes you can make in your online teaching practice, small but impactful adjustments that result in significant learning gains. Explains how you can support your online students Helps your students find success in this non-traditional learning environment Covers online and blended learning Addresses specific challenges that online instructors face in higher education Small Teaching Online presents research-based teaching techniques from an online instructional design expert and the bestselling author of Small Teaching. |
foundations of business programming rutgers: Flow and the Foundations of Positive Psychology Mihaly Csikszentmihalyi, 2014-08-08 The second volume in the collected works of Mihaly Csikszentmihalyi covers about thirty years of Csikszentmihalyi‘s work on three main and interconnected areas of study: attention, flow and positive psychology. Describing attention as psychic energy and in the footsteps of William James, Csikszentmihalyi explores the allocation of attention, the when and where and the amount of attention humans pay to tasks and the role of attention in creating ‘experiences’, or ordered patterns of information. Taking into account information processing theories and attempts at quantifying people’s investment, the chapters deal with such topics as time budgets and the development and use of the Experience Sampling Method of collecting data on attention in everyday life. Following the chapters on attention and reflecting Csikszentmihalyi’s branching out into sociology and anthropology, there are chapters on the topic of adult play and leisure and connected to that, on flow, a concept formulated and developed by Csikszentmihalyi. Flow has become a popular concept in business and management around the world and research on the concept continues to flourish. Finally, this volume contains articles that stem from Csikszentmihalyi’s connection with Martin Seligman; they deal with concepts and theories, as well as with the development and short history, of the field and the “movement” of positive psychology. |
foundations of business programming rutgers: Investing in America's Workforce Carl E. Van Horn, 2018 |
foundations of business programming rutgers: Lectures on Stochastic Programming Alexander Shapiro, Darinka Dentcheva, Andrzej P. Ruszczy?ski, 2014-07-09 Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications, medicine, and finance. Their existence compels a need for rigorous ways of formulating, analyzing, and solving such problems. This book focuses on optimization problems involving uncertain parameters and covers the theoretical foundations and recent advances in areas where stochastic models are available.? In?Lectures on Stochastic Programming: Modeling and Theory, Second Edition, the authors introduce new material to reflect recent developments in stochastic programming, including: an analytical description of the tangent and normal cones of chance constrained sets; analysis of optimality conditions applied to nonconvex problems; a discussion of the stochastic dual dynamic programming method; an extended discussion of law invariant coherent risk measures and their Kusuoka representations; and in-depth analysis of dynamic risk measures and concepts of time consistency, including several new results.? |
foundations of business programming rutgers: Machine Learning For Dummies John Paul Mueller, Luca Massaron, 2021-02-09 One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world. |
foundations of business programming rutgers: Shared Capitalism at Work Douglas L. Kruse, Richard B. Freeman, Joseph R. Blasi, 2010-06-15 The historical relationship between capital and labor has evolved in the past few decades. One particularly noteworthy development is the rise of shared capitalism, a system in which workers have become partial owners of their firms and thus, in effect, both employees and stockholders. Profit sharing arrangements and gain-sharing bonuses, which tie compensation directly to a firm’s performance, also reflect this new attitude toward labor. Shared Capitalism at Work analyzes the effects of this trend on workers and firms. The contributors focus on four main areas: the fraction of firms that participate in shared capitalism programs in the United States and abroad, the factors that enable these firms to overcome classic free rider and risk problems, the effect of shared capitalism on firm performance, and the impact of shared capitalism on worker well-being. This volume provides essential studies for understanding the increasingly important role of shared capitalism in the modern workplace. |
foundations of business programming rutgers: GO! All in One Shelley Gaskin, Debra Geoghan, Alicia Vargas, Nancy Graviett, 2016-03-16 GO! with Office 2016 is the right approach to learning for today's fast-moving, mobile environment. The GO! Series focuses on the job and success skills students need to succeed in the workforce. With GO! All in One, you can teach Computer Concepts and Applications together - the way it is in the real world! Engage your students right away by focusing on jobs and incorporating cloud computing and collaboration in a logical way. And, put concepts into action using a unique, integrated, jobs-focused, unit approach, or take an IC3 approach to help prepare students to take the IC3 exams. By using jobs-related projects, students learn Microsoft Office in the context of a real work environment. With these projects, students learn the how and why at the moment they need to know, and they never get lost because the GO! Series using Microsoft procedural syntax. MyITLab(R) is designed with the learner in mind. It provides access to all of the resources, including the interactive eText with videos, IT Concepts simulations, and quick check quizzes built in, plus the Grader Projects and Simulations for Microsoft applications |
foundations of business programming rutgers: Evicted Matthew Desmond, 2017-02-28 NEW YORK TIMES BESTSELLER • WINNER OF THE PULITZER PRIZE • NAMED ONE OF TIME’S TEN BEST NONFICTION BOOKS OF THE DECADE • One of the most acclaimed books of our time, this modern classic “has set a new standard for reporting on poverty” (Barbara Ehrenreich, The New York Times Book Review). In Evicted, Princeton sociologist and MacArthur “Genius” Matthew Desmond follows eight families in Milwaukee as they each struggle to keep a roof over their heads. Hailed as “wrenching and revelatory” (The Nation), “vivid and unsettling” (New York Review of Books), Evicted transforms our understanding of poverty and economic exploitation while providing fresh ideas for solving one of twenty-first-century America’s most devastating problems. Its unforgettable scenes of hope and loss remind us of the centrality of home, without which nothing else is possible. NAMED ONE OF THE BEST BOOKS OF THE YEAR BY President Barack Obama • The New York Times Book Review • The Boston Globe • The Washington Post • NPR • Entertainment Weekly • The New Yorker • Bloomberg • Esquire • BuzzFeed • Fortune • San Francisco Chronicle • Milwaukee Journal Sentinel • St. Louis Post-Dispatch • Politico • The Week • Chicago Public Library • BookPage • Kirkus Reviews • Library Journal • Publishers Weekly • Booklist • Shelf Awareness WINNER OF: The National Book Critics Circle Award for Nonfiction • The PEN/John Kenneth Galbraith Award for Nonfiction • The Andrew Carnegie Medal for Excellence in Nonfiction • The Hillman Prize for Book Journalism • The PEN/New England Award • The Chicago Tribune Heartland Prize FINALIST FOR THE LOS ANGELES TIMES BOOK PRIZE AND THE KIRKUS PRIZE “Evicted stands among the very best of the social justice books.”—Ann Patchett, author of Bel Canto and Commonwealth “Gripping and moving—tragic, too.”—Jesmyn Ward, author of Salvage the Bones “Evicted is that rare work that has something genuinely new to say about poverty.”—San Francisco Chronicle |
foundations of business programming rutgers: America's New Foundations , 1994 |
foundations of business programming rutgers: Personal Finance Rachel S. Siegel, 2021 Personal Finance was written with two simple goals in mind: to help students develop a strong sense of financial literacy and provide a wide range of pedagogical aids to keep them engaged and on track. This book is a practical introduction that covers all of the fundamentals and introduces conceptual frameworks, such as the life cycle of financial decisions and basic market dynamics, in a way that students can easily grasp and readily use in their personal lives. --Provided by publisher. |
foundations of business programming rutgers: Singing and Communicating in English Kathryn LaBouff, 2007-12-21 In Singing and Communicating in English, internationally renowned diction coach Kathryn LaBouff provides singers with an accessible guide to the principles of English diction they need to communicate the text successfully. In addition to standard American and British English, a variety of regional dialects and accents are covered in depth. A companion website features a full range of vowel/consonant drills, poems read aloud by the author and veteran theater and voiceover actor John Keating, as well as an instructor's answer key, and publishers' lists to help the singer locate a vast array of English language works for performance. |
foundations of business programming rutgers: Theory at a Glance Karen Glanz, 1997 |
foundations of business programming rutgers: Mathematical Control Theory Eduardo D. Sontag, 2013-11-21 Geared primarily to an audience consisting of mathematically advanced undergraduate or beginning graduate students, this text may additionally be used by engineering students interested in a rigorous, proof-oriented systems course that goes beyond the classical frequency-domain material and more applied courses. The minimal mathematical background required is a working knowledge of linear algebra and differential equations. The book covers what constitutes the common core of control theory and is unique in its emphasis on foundational aspects. While covering a wide range of topics written in a standard theorem/proof style, it also develops the necessary techniques from scratch. In this second edition, new chapters and sections have been added, dealing with time optimal control of linear systems, variational and numerical approaches to nonlinear control, nonlinear controllability via Lie-algebraic methods, and controllability of recurrent nets and of linear systems with bounded controls. |
foundations of business programming rutgers: Foundation Analysis and Design Joseph E. Bowles, 1997 The revision of this best-selling text for a junior/senior course in Foundation Analysis and Design now includes an IBM computer disk containing 16 compiled programs together with the data sets used to produce the output sheets, as well as new material on sloping ground, pile and pile group analysis, and procedures for an improved anlysis of lateral piles. Bearing capacity analysis has been substantially revised for footings with horizontal as well as vertical loads. Footing design for overturning now incorporates the use of the same uniform linear pressure concept used in ascertaining the bearing capacity. Increased emphasis is placed on geotextiles for retaining walls and soil nailing. |
foundations of business programming rutgers: DSLs in Action Debasish Ghosh, 2010-11-30 Your success—and sanity—are closer at hand when you work at a higher level of abstraction, allowing your attention to be on the business problem rather than the details of the programming platform. Domain Specific Languages—little languages implemented on top of conventional programming languages—give you a way to do this because they model the domain of your business problem. DSLs in Action introduces the concepts and definitions a developer needs to build high-quality domain specific languages. It provides a solid foundation to the usage as well as implementation aspects of a DSL, focusing on the necessity of applications speaking the language of the domain. After reading this book, a programmer will be able to design APIs that make better domain models. For experienced developers, the book addresses the intricacies of domain language design without the pain of writing parsers by hand. The book discusses DSL usage and implementations in the real world based on a suite of JVM languages like Java, Ruby, Scala, and Groovy. It contains code snippets that implement real world DSL designs and discusses the pros and cons of each implementation. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside Tested, real-world examples How to find the right level of abstraction Using language features to build internal DSLs Designing parser/combinator-based little languages |
foundations of business programming rutgers: Theory of Asset Pricing George Gaetano Pennacchi, 2008 Theory of Asset Pricing unifies the central tenets and techniques of asset valuation into a single, comprehensive resource that is ideal for the first PhD course in asset pricing. By striking a balance between fundamental theories and cutting-edge research, Pennacchi offers the reader a well-rounded introduction to modern asset pricing theory that does not require a high level of mathematical complexity. |
foundations of business programming rutgers: Distributed Systems George F. Coulouris, Jean Dollimore, Tim Kindberg, 1994 The new edition of this bestselling title on Distributed Systems has been thoroughly revised throughout to reflect the state of the art in this rapidly developing field. It emphasizes the principles used in the design and construction of distributed computer systems based on networks of workstations and server computers. |
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