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| computer science major requirements berkeley: Latinos and the U.S. Political System Rodney E. Hero, Rodney Hero, 2010-06-18 An analysis of American politics from the vantage point of the Latino political condition. |
| computer science major requirements berkeley: Structure and Interpretation of Computer Programs Harold Abelson, Gerald Jay Sussman, 2022-05-03 A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website. |
| computer science major requirements berkeley: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| computer science major requirements berkeley: Law and Policy for the Quantum Age Chris Jay Hoofnagle, Simson L. Garfinkel, 2022-01-06 The Quantum Age cuts through the hype to demystify quantum technologies, their development paths, and the policy issues they raise. |
| computer science major requirements berkeley: Coders at Work Peter Seibel, 2009-12-21 Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker |
| computer science major requirements berkeley: How to Be a High School Superstar Cal Newport, 2010-07-27 Do Less, Live More, Get Accepted What if getting into your reach schools didn’t require four years of excessive A.P. classes, overwhelming activity schedules, and constant stress? In How to Be a High School Superstar, Cal Newport explores the world of relaxed superstars—students who scored spots at the nation’s top colleges by leading uncluttered, low stress, and authentic lives. Drawing from extensive interviews and cutting-edge science, Newport explains the surprising truths behind these superstars’ mixture of happiness and admissions success, including: · Why doing less is the foundation for becoming more impressive. · Why demonstrating passion is meaningless, but being interesting is crucial. · Why accomplishments that are hard to explain are better than accomplishments that are hard to do. These insights are accompanied by step-by-step instructions to help any student adopt the relaxed superstar lifestyle—proving that getting into college doesn’t have to be a chore to survive, but instead can be the reward for living a genuinely interesting life. |
| computer science major requirements berkeley: Open Sources Chris DiBona, Sam Ockman, 1999-01-03 Freely available source code, with contributions from thousands of programmers around the world: this is the spirit of the software revolution known as Open Source. Open Source has grabbed the computer industry's attention. Netscape has opened the source code to Mozilla; IBM supports Apache; major database vendors haved ported their products to Linux. As enterprises realize the power of the open-source development model, Open Source is becoming a viable mainstream alternative to commercial software.Now in Open Sources, leaders of Open Source come together for the first time to discuss the new vision of the software industry they have created. The essays in this volume offer insight into how the Open Source movement works, why it succeeds, and where it is going.For programmers who have labored on open-source projects, Open Sources is the new gospel: a powerful vision from the movement's spiritual leaders. For businesses integrating open-source software into their enterprise, Open Sources reveals the mysteries of how open development builds better software, and how businesses can leverage freely available software for a competitive business advantage.The contributors here have been the leaders in the open-source arena: Brian Behlendorf (Apache) Kirk McKusick (Berkeley Unix) Tim O'Reilly (Publisher, O'Reilly & Associates) Bruce Perens (Debian Project, Open Source Initiative) Tom Paquin and Jim Hamerly (mozilla.org, Netscape) Eric Raymond (Open Source Initiative) Richard Stallman (GNU, Free Software Foundation, Emacs) Michael Tiemann (Cygnus Solutions) Linus Torvalds (Linux) Paul Vixie (Bind) Larry Wall (Perl) This book explains why the majority of the Internet's servers use open- source technologies for everything from the operating system to Web serving and email. Key technology products developed with open-source software have overtaken and surpassed the commercial efforts of billion dollar companies like Microsoft and IBM to dominate software markets. Learn the inside story of what led Netscape to decide to release its source code using the open-source mode. Learn how Cygnus Solutions builds the world's best compilers by sharing the source code. Learn why venture capitalists are eagerly watching Red Hat Software, a company that gives its key product -- Linux -- away.For the first time in print, this book presents the story of the open- source phenomenon told by the people who created this movement.Open Sources will bring you into the world of free software and show you the revolution. |
| computer science major requirements berkeley: Theoretical Statistics Robert W. Keener, 2010-09-08 Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix. |
| computer science major requirements berkeley: CUCKOO'S EGG Clifford Stoll, 2012-05-23 Before the Internet became widely known as a global tool for terrorists, one perceptive U.S. citizen recognized its ominous potential. Armed with clear evidence of computer espionage, he began a highly personal quest to expose a hidden network of spies that threatened national security. But would the authorities back him up? Cliff Stoll's dramatic firsthand account is a computer-age detective story, instantly fascinating [and] astonishingly gripping (Smithsonian). Cliff Stoll was an astronomer turned systems manager at Lawrence Berkeley Lab when a 75-cent accounting error alerted him to the presence of an unauthorized user on his system. The hacker's code name was Hunter—a mysterious invader who managed to break into U.S. computer systems and steal sensitive military and security information. Stoll began a one-man hunt of his own: spying on the spy. It was a dangerous game of deception, broken codes, satellites, and missile bases—a one-man sting operation that finally gained the attention of the CIA . . . and ultimately trapped an international spy ring fueled by cash, cocaine, and the KGB. |
| computer science major requirements berkeley: Mathematical Thinking and Problem Solving Alan H. Schoenfeld, Alan H. Sloane, 2016-05-06 In the early 1980s there was virtually no serious communication among the various groups that contribute to mathematics education -- mathematicians, mathematics educators, classroom teachers, and cognitive scientists. Members of these groups came from different traditions, had different perspectives, and rarely gathered in the same place to discuss issues of common interest. Part of the problem was that there was no common ground for the discussions -- given the disparate traditions and perspectives. As one way of addressing this problem, the Sloan Foundation funded two conferences in the mid-1980s, bringing together members of the different communities in a ground clearing effort, designed to establish a base for communication. In those conferences, interdisciplinary teams reviewed major topic areas and put together distillations of what was known about them.* A more recent conference -- upon which this volume is based -- offered a forum in which various people involved in education reform would present their work, and members of the broad communities gathered would comment on it. The focus was primarily on college mathematics, informed by developments in K-12 mathematics. The main issues of the conference were mathematical thinking and problem solving. |
| computer science major requirements berkeley: Berkeley DB Sleepycat Software Inc, 2001 Small, special-purpose computing devices and high-end core Internet servers need fast, reliable database management. Berkeley DB is an embedded database that provides high-performance, scalable, transaction-protected and recoverable data management services to applications. Extremely portable, this library runs under almost all UNIX and Windows variants, as well as a number of embedded, real-time operating systems. Berkeley DB is the ultimate resource for the world's most widely deployed embedded database engine. This book will aid software architects and engineers, product managers, and systems and network administrators without the overhead imposed by other database products. Designed by programmers for programmers, this classic library style toolkit provides a broad base of functionality to application writers. This book will help you to make intelligent choices about when and how to use Berkeley DB to meet your needs. You can visit the Sleepycat website to get the latest errata for this book. NOTE: The first printing of this book contained an error in the table of contents that caused the page numbers to be off. This will be corrected in the second printing. If you have an earlier edition, you can download a pdf of the correct table of contents that you can print out and use with your book. If you have any questions, please feel free to contact the editor of this book at stephanie.wall@newriders.com. |
| computer science major requirements berkeley: The Discipline of Organizing: Professional Edition Robert J. Glushko, 2014-08-25 Note about this ebook: This ebook exploits many advanced capabilities with images, hypertext, and interactivity and is optimized for EPUB3-compliant book readers, especially Apple's iBooks and browser plugins. These features may not work on all ebook readers. We organize things. We organize information, information about things, and information about information. Organizing is a fundamental issue in many professional fields, but these fields have only limited agreement in how they approach problems of organizing and in what they seek as their solutions. The Discipline of Organizing synthesizes insights from library science, information science, computer science, cognitive science, systems analysis, business, and other disciplines to create an Organizing System for understanding organizing. This framework is robust and forward-looking, enabling effective sharing of insights and design patterns between disciplines that weren’t possible before. The Professional Edition includes new and revised content about the active resources of the Internet of Things, and how the field of Information Architecture can be viewed as a subset of the discipline of organizing. You’ll find: 600 tagged endnotes that connect to one or more of the contributing disciplines Nearly 60 new pictures and illustrations Links to cross-references and external citations Interactive study guides to test on key points The Professional Edition is ideal for practitioners and as a primary or supplemental text for graduate courses on information organization, content and knowledge management, and digital collections. FOR INSTRUCTORS: Supplemental materials (lecture notes, assignments, exams, etc.) are available at http://disciplineoforganizing.org. FOR STUDENTS: Make sure this is the edition you want to buy. There's a newer one and maybe your instructor has adopted that one instead. |
| computer science major requirements berkeley: Algorithms Sanjoy Dasgupta, Christos H. Papadimitriou, Umesh Virkumar Vazirani, 2006 This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include:The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated. Carefully chosen advanced topics that can be skipped in a standard one-semester course but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text DasGupta also offers a Solutions Manual which is available on the Online Learning Center.Algorithms is an outstanding undergraduate text equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel it is a joy to read. Tim Roughgarden Stanford University |
| computer science major requirements berkeley: HT THINK LIKE A COMPUTER SCIEN Jeffrey Elkner, Allen B. Downey, Chris Meyers, 2016-10-04 The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer. |
| computer science major requirements berkeley: The Mind Behind the Musical Ear Jeanne Shapiro Bamberger, 1991 Bamberger focuses on the earliest stages in the development of musical cognition. Beginning with children's invention of original rhythm notations, she follows eight-year-old Jeff as he reconstructs and invents descriptions of simple melodies. |
| computer science major requirements berkeley: Cornerstones of Attachment Research Robbie Duschinsky, 2020-09-10 This is an open access title available under the terms of a [CC BY-NC-ND 4.0 International] licence. It is free to read at Oxford Clinical Psychology Online and offered as a free PDF download from OUP and selected open access locations. Attachment theory is among the most popular theories of human socioemotional development, with a global research community and widespread interest from clinicians, child welfare professionals, educationalists and parents. It has been considered “one of the most generative contemporary ideas” about family life in modern society. It is one of the last of the grand theories of human development that still retains an active research tradition. Attachment theory and research speak to fundamental questions about human emotions, relationships and development. They do so in terms that feel experience-near, with a remarkable combination of intuitive ideas and counter-intuitive assessments and conclusions. Over time, attachment theory seems to have become more, rather than less, appealing and popular, in part perhaps due to alignment with current concern with the lifetime implications of early brain development Cornerstones of Attachment Research re-examines the work of key laboratories that have contributed to the study of attachment. In doing so, the book traces the development in a single scientific paradigm through parallel but separate lines of inquiry. Chapters address the work of Bowlby, Ainsworth, Main and Hesse, Sroufe and Egeland, and Shaver and Mikulincer. Cornerstones of Attachment Research utilises attention to these five research groups as a lens on wider themes and challenges faced by attachment research over the decades. The chapters draw on a complete analysis of published scholarly and popular works by each research group, as well as much unpublished material. |
| computer science major requirements berkeley: Cities in Civilization Peter Hall, 1998 Ranging over 2,500 years,Cities in Civilizationis a tribute to the city as the birthplace of Western civilization. Drawing on the contributions of economists and geographers, of cultural, technological, and social historians, Sir Peter Hall examines twenty-one cities at their greatest moments. Hall describes the achievements of these golden ages and outlines the precise combinations of forces -- both universal and local -- that led to each city's belle epoque. Hall identifies four distinct expressions of civic innovation: artistic growth, technological progress, the marriage of culture and technology, and solutions to evolving problems. Descriptions of Periclean Athens, Renaissance Florence, Elizabethan London, and nineteenth-century Vienna bring to life those seedbeds of artistic and intellectual creativity. Explorations of Manchester during the Industrial Revolution, of Henry Ford's Detroit, and of Palo Alto at the dawn of the computer age highlight centers of technological advances. Tales of the creation of Los Angeles' movie industry and the birth of the blues and rock 'n' roll in Memphis depict the marriage of culture and technology. Finally, Hall celebrates cities that have been forced to solve problems created by their very size. With Imperial Rome came the apartment block and aqueduct; nineteenth-century London introduced policing, prisons, and sewers; twentieth-century New York developed the skyscraper; and Los Angeles became the first city without a center, a city ruled instead by the car. And in a fascinating conclusion, Hall speculates on urban creativity in the twenty-first century. This penetrating study reveals not only the lives of cities but also the lives of the people who built them and created the civilizations within them. A decade in the making,Cities in Civilizationis the definitive account of the culture of cities. |
| computer science major requirements berkeley: George Berkeley Tom Jones, 2025-03-11 A comprehensive intellectual biography of the Enlightenment philosopher In George Berkeley: A Philosophical Life, Tom Jones provides a comprehensive account of the life and work of the preeminent Irish philosopher of the Enlightenment. From his early brilliance as a student and fellow at Trinity College Dublin to his later years as Bishop of Cloyne, Berkeley brought his searching and powerful intellect to bear on the full range of eighteenth-century thought and experience. Jones brings vividly to life the complexities and contradictions of Berkeley’s life and ideas. He advanced a radical immaterialism, holding that the only reality was minds, their thoughts, and their perceptions, without any physical substance underlying them. But he put forward this counterintuitive philosophy in support of the existence and ultimate sovereignty of God. Berkeley was an energetic social reformer, deeply interested in educational and economic improvement, including for the indigenous peoples of North America, yet he believed strongly in obedience to hierarchy and defended slavery. And although he spent much of his life in Ireland, he followed his time at Trinity with years of travel that took him to London, Italy, and New England, where he spent two years trying to establish a university for Bermuda, before returning to Ireland to take up an Anglican bishopric in a predominantly Catholic country. Jones draws on the full range of Berkeley’s writings, from philosophical treatises to personal letters and journals, to probe the deep connections between his life and work. The result is a richly detailed and rounded portrait of a major Enlightenment thinker and the world in which he lived. |
| computer science major requirements berkeley: From Berkeley to Berlin Tom Francis Ramos, 2022-02-15 In November 1960, bolstered by anti-Communist ideologies, John F. Kennedy was elected president of the United States. Soviet Premier Nikita Khrushchev brandished nuclear diplomacy in an attempt to force the United States to abandon Berlin, setting the stage for a major nuclear confrontation over the fate of West Berlin. From Berkeley to Berlin explores how the United States had the wherewithal to stand up to Khrushchev's attempts to expand Soviet influence around the globe. The story begins when a South Dakotan, Ernest Lawrence, the grandson of Norwegian immigrants, created a laboratory on the Berkeley campus of the University of California. The Rad Lab attracted some of the finest talent in America to pursue careers in nuclear physics. When it was discovered that Nazi Germany had the means to build an atomic bomb, Lawrence threw all his energy into waking up the American government to act. Ten years later, when Joseph Stalin's Soviet Union became a nuclear power, Lawrence drove his students to take on the challenge to deter a Communist despot's military ambitions. Their journey was not easy: they had to overcome ridicule over three successive failures, which led to calls to see them, and their laboratory, shut down. At the Nobska Conference in 1956, the Rad Lab physicists took up the daunting challenge to provide the Navy with a warhead for Polaris. The success of the Polaris missile, which could be carried by submarines, was a critical step in establishing nuclear deterrent capability and helped Kennedy stare down Khrushchev during the Berlin Crisis of 1961. Six months after the height of the Berlin Crisis, Kennedy thought about how close the country had come to destruction, and he flew out to Berkeley to meet and thank a small group of Rad Lab physicists for helping the country avert a nuclear war. |
| computer science major requirements berkeley: How to Design Programs, second edition Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi, 2018-05-25 A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming. |
| computer science major requirements berkeley: The Digital City M. Laguerre, 2005-08-02 Evolving out of a research project on information technology and society, the book explores the digitization of the American city. Laguerre examines the impact of changes to various sectors of society, brought about by the advent of information technology and the Internet upon daily life in the contemporary American metropolis. The book focuses on actual information technology practices in the Silicon Valley/San Francisco metropolitan area, explaining how those practices are remoulding social relations, global interaction and the workplace environment. |
| computer science major requirements berkeley: African Politics Nic Cheeseman, 2016 Scholars and students of African politics address some of the thorniest issues of our time. Indeed, over the last thirty years or so, the subdiscipline has expanded in scope and ambition, and leads the way in major fields of research, such as the study of ethnicity and identity politics. Now, this timely new collection from Routledge brings together the classic and essential texts of African politics, creating a top-quality and easily accessible resource for students, researchers, and policymakers alike. Each volume is introduced by a comprehensive summary chapter, newly written by the editor, which both provides a valuable overview of the key trends in the literature and explains what we know, what we don't know, and what controversies remain. |
| computer science major requirements berkeley: Search User Interfaces Marti A. Hearst, 2009-09-21 The truly world-wide reach of the Web has brought with it a new realisation of the enormous importance of usability and user interface design. In the last ten years, much has become understood about what works in search interfaces from a usability perspective, and what does not. Researchers and practitioners have developed a wide range of innovative interface ideas, but only the most broadly acceptable make their way into major web search engines. This book summarizes these developments, presenting the state of the art of search interface design, both in academic research and in deployment in commercial systems. Many books describe the algorithms behind search engines and information retrieval systems, but the unique focus of this book is specifically on the user interface. It will be welcomed by industry professionals who design systems that use search interfaces as well as graduate students and academic researchers who investigate information systems. |
| computer science major requirements berkeley: Right College, Right Price Frank Palmasani, 2013 Describes how the Financial Fit program can help families determine how much college will really cost beyond the sticker price and factor cost into the college search, and explains how to maximize financial aid benefits. |
| computer science major requirements berkeley: Keywords Raymond Williams, 2014 First published in 1976, Raymond Williams' highly acclaimed Keywords: A Vocabulary of Culture and Society is a collection of lively essays on words that are critical to understanding the modern world. In these essays, Williams, a renowned cultural critic, demonstrates how these key words take on new meanings and how these changes reflect the political bent and values of our past and current society. He chose words both essential and intangible--words like nature, underprivileged, industry, liberal, violence, to name a few--and, by tracing their etymology and evolution, grounds them in a wider political and cultural framework. The result is an illuminating account of the central vocabulary of ideological debate in English in the modern period. This edition features a new original foreword by Colin MacCabe, Distinguished Professor of English and Literature, University of Pittsburgh, that reflects on the significance of Williams' life and work. Keywords remains as relevant today as it was over thirty years ago, offering a provocative study of our language and an insightful look at the society in which we live. |
| computer science major requirements berkeley: Applied Machine Learning David Forsyth, 2019-07-12 Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code. A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use). Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:• classification using standard machinery (naive bayes; nearest neighbor; SVM)• clustering and vector quantization (largely as in PSCS)• PCA (largely as in PSCS)• variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)• linear regression (largely as in PSCS)• generalized linear models including logistic regression• model selection with Lasso, elasticnet• robustness and m-estimators• Markov chains and HMM’s (largely as in PSCS)• EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy• simple graphical models (in the variational inference section)• classification with neural networks, with a particular emphasis onimage classification• autoencoding with neural networks• structure learning |
| computer science major requirements berkeley: Machine Learning and AI for Healthcare Arjun Panesar, 2019-02-04 Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings. |
| computer science major requirements berkeley: The Best Business Schools' Admissions Secrets Chioma Isiadinso M.Ed., 2014-08-05 The top secrets to getting into the best MBA programs, from a leading industry expert Top MBA programs reject more than 80 percent of their applicants, but author Chioma Isiadinso's admissions consulting firm has successfully guided 90 percent of her students into the best business schools around the world. As a former Admissions Board Member, Isiadinso offers insider tips and strategies to help applicants get into the school of their choice by building and promoting their personal brand. This revised and updated edition now offers: the do's and don'ts of social media networking sample admissions essays that worked an international perspective for global admissions appeal |
| computer science major requirements berkeley: Optimization Models Giuseppe C. Calafiore, Laurent El Ghaoui, 2014-10-31 This accessible textbook demonstrates how to recognize, simplify, model and solve optimization problems - and apply these principles to new projects. |
| computer science major requirements berkeley: Broken Ballots Douglas Jones, Barbara Simons, 2012 For many of us, the presidential election of 2000 was a wake-up call. The controversy following the vote count led to demands for election reform. But the new voting systems that were subsequently introduced to the market have serious security flaws, and many are confusing and difficult to use. Moreover, legislation has not kept up with the constantly evolving voting technology, leaving little to no legal recourse when votes are improperly counted. How did we come to acquire the complex technology we now depend on to count votes? Douglas Jones and Barbara Simons probe this question, along with public policy and regulatory issues raised by our voting technologies. Broken Ballots is a thorough and incisive analysis of the current voting climate that approaches American elections from technological, legal, and historical perspectives. The authors examine the ways in which Americans vote today, gauging how inaccurate, unreliable, and insecure our voting systems are. An important book for election administrators, political scientists, and students of government and technology policy, Broken Ballots is also a vital tool for any voting American. |
| computer science major requirements berkeley: Computational Biomechanics Kozaburo Hayashi, Hiromasa Ishikawa, 2012-12-06 The combination of readily available computing power and progress in numerical techniques has made nonlinear systems - the kind that only a few years ago were ignored as too complex - open to analysis for the first time. Now realistic models of living systems incorporating the nonlinear variation and anisotropic nature of physical properties can be solved numerically on modern computers to give realistically usable results. This has opened up new and exciting possibilities for the fusing of ideas from physiology and engineering in the burgeoning new field that is biomechanics. Computational Biomechanics presents pioneering work focusing on the areas of orthopedic and circulatory mechanics, using experimental results to confirm or improve the relevant mathematical models and parameters. Together with two companion volumes, Biomechanics: Functional Adaptation and Remodeling and the Data Book on Mechanical Properties of Living Cells, Tissues, and Organs, this monograph will prove invaluable to those working in fields ranging from medical science and clinical medicine to biomedical engineering and applied mechanics. |
| computer science major requirements berkeley: Computer Organization and Design John L. Hennessy, David A. Patterson, 2000 |
| computer science major requirements berkeley: GRE Prep by Magoosh Magoosh, Chris Lele, Mike McGarry, 2016-12-07 Magoosh gives students everything they need to make studying a breeze. We've branched out from our online GRE prep program and free apps to bring you this GRE prep book. We know sometimes you don't have easy access to the Internet--or maybe you just like scribbling your notes in the margins of a page! Whatever your reason for picking up this book, we're thrilled to take this ride together. In these pages you'll find: --Tons of tips, FAQs, and GRE strategies to get you ready for the big test. --More than 130 verbal and quantitative practice questions with thorough explanations. --Stats for each practice question, including its difficulty rating and the percent of students who typically answer it correctly. We want you to know exactly how tough GRE questions tend to be so you'll know what to expect on test day. --A full-length practice test with an answer key and detailed explanations. --Multiple practice prompts for the analytical writing assessment section, with tips on how to grade each of your essays. If you're not already familiar with Magoosh online, here's what you need to know: --Our materials are top-notch--we've designed each of our practice questions based on careful analysis of millions of students' answers. --We really want to see you do your best. That's why we offer a score improvement guarantee to students who use the online premium Magoosh program. --20% of our students earn a top 10% score on the GRE. --Magoosh students score on average 12 points higher on the test than all other GRE takers. --We've helped more than 1.5 million students prepare for standardized tests online and with our mobile apps. So crack open this book, join us online at magoosh.com, and let's get you ready to rock the GRE! |
| computer science major requirements berkeley: MTEL , 2011 If you are preparing for a teaching career in Massachusetts, passing the Massachusetts Tests for Educator Licensure (MTEL) Communication and Literacy Skills (01) test is an essential part of the certification process. This easy-to-use e-book helps you develop and practice the skills needed to achieve success on the MTEL. It provides a fully updated, comprehensive review of all areas tested on the official Communication and Literacy Skills (01) assessment, helpful information on the Massachusetts teacher certification and licensing process, and the LearningExpress Test Preparation System, with proven techniques for overcoming test anxiety, planning study time, and improving your results. |
| computer science major requirements berkeley: The Insider's Guide to the Colleges, 2012 Yale Daily News Staff, 2011-07-05 The Insider's Guide to the Colleges has been, for 38 years, the most relied-upon resource for high school students looking for honest reports on colleges from their fellow students. Having interviewed hundreds of their peers on more than 330 campuses and by getting the inside scoop on everything from the nightlife and professors to the newest dorms and wildest student organizations, the reporters at the Yale Daily News have created the most candid college guide available. In addition to the well-rounded profiles, this edition has been updated to include: * Essential statistics for every school, from acceptance rates to popular majors * A College Finder to help students zero in on the perfect school * FYI sections with student opinions and outrageous off-the-cuff advice The Insider's Guide to the Colleges cuts through the college brochures to uncover the things that matter most to students, and by staying on top of trends, it gives both students and parents the straightforward information they need to choose the school that's right for them. |
| computer science major requirements berkeley: Engineering Software as a Service Armando Fox, David A. Patterson, 2016 (NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details.(NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details. |
| computer science major requirements berkeley: Parallel Algorithms and Architectures Kurt Mehlhorn, 1987 |
| computer science major requirements berkeley: Theoretical Aspects of Computer Science Gholamreza B. Khosrovshahi, Ali Shokoufandeh, Amin Shokrollahi, 2003-07-31 This book presents the revised final versions of eight lectures given by leading researchers at the First Summer School on Theoretical Aspects of Computer Science in Tehran, Iran, in July 2000. The lectures presented are devoted to quantum computation, approximation algorithms, self-testing/correction, algebraic modeling of data, the regularity lemma, multiple access communication and combinatorial designs, graph-theoretical methods in computer vision, and low-density parity-check codes. |
| computer science major requirements berkeley: Notes on Digital Communication George L. Turin, 1969 |
| computer science major requirements berkeley: Success Is in Your Sphere: Leverage the Power of Relationships to Achieve Your Business Goals Zvi Band, 2019-04-05 A proven step-by-step approach to leveraging the unique power of relationships to your best business advantage.Our professional relationships are the most important asset we have when it comes to growing our careers and our businesses. Most people think of this as “networking.” But in today’s hyperconnected market, the most cost-effective and high-return route to new, repeat, and referral business is through our existing networks, not through adding more social media “friends” and “connections.” This transformative guide from relationship marketing expert Zvi Band shows you how to deepen your personal connections to achieve your professional goals—using the CAPITAL strategy of relationship-building techniques:•Consistency: develop good habits to form stronger relationships •Aggregate: build a personal database of professional contacts•Prioritize: order your network based on who can help•Investigate: collect intelligence on the people who are most important to you•Timely Engagement: create a steady cadence in your outreach•Adding Value: offer more than a simple follow-up•Leverage: execute more effectivelyThe basic idea behind these powerful tools is simple: Effective relationship building is not about acquiring new contacts. It’s about strengthening your connections with the key people who will help you drive your business forward. Through a combination of personal research, best practices, and case studies, Band provides a prescriptive strategy you can customize and follow every day. You’ll find cost-effective, high-yield tools that can be implemented via social media and other digital platforms. You’ll discover the best-kept secrets of the most popular companies in the world—and time-saving techniques for achieving similar results with your own customers. Most important, you can make the most of what you already have: the simple human connections that make everything worthwhile.In business, as in life, it all comes down to the quality of your relationships. When the right people are on your side, Success Is in Your Sphere. |
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
