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| computer science major cornell: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer science major cornell: Foundations of Probabilistic Programming Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva, 2020-12-03 This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title is also available as Open Access on Cambridge Core. |
| computer science major cornell: VLSI and Computer Architecture Kenzo Watanabe, 2009 Very-large-scale integration (VLSI) is the process of creating integrated circuits by combining thousands of transistor-based circuits into a single chip. This book covers the ontology of computer-aided design, MOSFET's programmable conductance, vision-based path planning with onboard VLSI array processors, and much more. |
| computer science major cornell: Excellence Without a Soul Harry Lewis, 2007-08-14 A Harvard professor and former Dean of Harvard College offers his provocative analysis of how America's great universities are failing students and the nation |
| computer science major cornell: In Defense of Reading Daniel R. Schwarz, 2009-01-30 Written by influential scholar-critic and award-winning Daniel R. Schwarz, In Defense of Reading: Teaching Literature in the Twenty-First Century is a passionate and joyful defense of the pleasures of reading. This stimulating book provides valuable insights for teachers and students on why we read and how we read when we embark on the odyssey of reading. Provides valuable insights into why and how we read Addresses issues and problems in the contemporary university and offers insights into the future Explores the life of the mind, the rewards and joys of committed teaching, and the relationship between teaching and scholarship in the contemporary university Draws on the author's forty years of teaching experience Following his long term commitment to close reading and historicism, Schwarz shows how the best literary criticism must both respect text and context Contains insightful and important readings of a broad range of texts, including those by Joyce, Woolf, Conrad, Forster, Gordimer, and Spiegelman's Maus |
| computer science major cornell: Colleges That Change Lives Loren Pope, 2006-07-25 Prospective college students and their parents have been relying on Loren Pope's expertise since 1995, when he published the first edition of this indispensable guide. This new edition profiles 41 colleges—all of which outdo the Ivies and research universities in producing performers, not only among A students but also among those who get Bs and Cs. Contents include: Evaluations of each school's program and personality Candid assessments by students, professors, and deans Information on the progress of graduates This new edition not only revisits schools listed in previous volumes to give readers a comprehensive assessment, it also addresses such issues as homeschooling, learning disabilities, and single-sex education. |
| computer science major cornell: Guide to Reliable Distributed Systems Amy Elser, 2012-01-15 This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introduction to cloud computing, looking at the overall architecture of the cloud, client systems, the modern Internet and cloud computing data centers. It then delves into the core challenges of showing how reliability and fault-tolerance can be abstracted, how the resulting questions can be solved, and how the solutions can be leveraged to create a wide range of practical cloud applications. The author’s style is practical, and the guide should be readily understandable without any special background. Concrete examples are often drawn from real-world settings to illustrate key insights. Appendices show how the most important reliability models can be formalized, describe the API of the Isis2 platform, and offer more than 80 problems at varying levels of difficulty. |
| computer science major cornell: Computing the Future National Research Council, Computer Science and Telecommunications Board, Committee to Assess the Scope and Direction of Computer Science and Technology, 1992-02-01 Computers are increasingly the enabling devices of the information revolution, and computing is becoming ubiquitous in every corner of society, from manufacturing to telecommunications to pharmaceuticals to entertainment. Even more importantly, the face of computing is changing rapidly, as even traditional rivals such as IBM and Apple Computer begin to cooperate and new modes of computing are developed. Computing the Future presents a timely assessment of academic computer science and engineering (CS&E), examining what should be done to ensure continuing progress in making discoveries that will carry computing into the twenty-first century. Most importantly, it advocates a broader research and educational agenda that builds on the field's impressive accomplishments. The volume outlines a framework of priorities for CS&E, along with detailed recommendations for education, funding, and leadership. A core research agenda is outlined for these areas: processors and multiple-processor systems, data communications and networking, software engineering, information storage and retrieval, reliability, and user interfaces. This highly readable volume examines: Computer science and engineering as a discipline-how computer scientists and engineers are pushing back the frontiers of their field. How CS&E must change to meet the challenges of the future. The influence of strategic investment by federal agencies in CS&E research. Recent structural changes that affect the interaction of academic CS&E and the business environment. Specific examples of interdisciplinary and applications research in four areas: earth sciences and the environment, computational biology, commercial computing, and the long-term goal of a national electronic library. The volume provides a detailed look at undergraduate CS&E education, highlighting the limitations of four-year programs, and discusses the emerging importance of a master's degree in CS&E and the prospects for broadening the scope of the Ph.D. It also includes a brief look at continuing education. |
| computer science major cornell: Sequences and Power Series , |
| computer science major cornell: Colleges that Change Lives Loren Pope, 1996 The distinctive group of forty colleges profiled here is a well-kept secret in a status industry. They outdo the Ivies and research universities in producing winners. And they work their magic on the B and C students as well as on the A students. Loren Pope, director of the College Placement Bureau, provides essential information on schools that he has chosen for their proven ability to develop potential, values, initiative, and risk-taking in a wide range of students. Inside you'll find evaluations of each school's program and personality to help you decide if it's a community that's right for you; interviews with students that offer an insider's perspective on each college; professors' and deans' viewpoints on their school, their students, and their mission; and information on what happens to the graduates and what they think of their college experience. Loren Pope encourages you to be a hard-nosed consumer when visiting a college, advises how to evaluate a school in terms of your own needs and strengths, and shows how the college experience can enrich the rest of your life. |
| computer science major cornell: Quantum Computer Science N. David Mermin, 2007-08-30 In the 1990's it was realized that quantum physics has some spectacular applications in computer science. This book is a concise introduction to quantum computation, developing the basic elements of this new branch of computational theory without assuming any background in physics. It begins with an introduction to the quantum theory from a computer-science perspective. It illustrates the quantum-computational approach with several elementary examples of quantum speed-up, before moving to the major applications: Shor's factoring algorithm, Grover's search algorithm, and quantum error correction. The book is intended primarily for computer scientists who know nothing about quantum theory, but will also be of interest to physicists who want to learn the theory of quantum computation, and philosophers of science interested in quantum foundational issues. It evolved during six years of teaching the subject to undergraduates and graduate students in computer science, mathematics, engineering, and physics, at Cornell University. |
| computer science major cornell: A History of Cornell Morris Bishop, 2014-10-15 Cornell University is fortunate to have as its historian a man of Morris Bishop's talents and devotion. As an accurate record and a work of art possessing form and personality, his book at once conveys the unique character of the early university—reflected in its vigorous founder, its first scholarly president, a brilliant and eccentric faculty, the hardy student body, and, sometimes unfortunately, its early architecture—and establishes Cornell's wider significance as a case history in the development of higher education. Cornell began in rebellion against the obscurantism of college education a century ago. Its record, claims the author, makes a social and cultural history of modern America. This story will undoubtedly entrance Cornellians; it will also charm a wider public. Dr. Allan Nevins, historian, wrote: I anticipated that this book would meet the sternest tests of scholarship, insight, and literary finish. I find that it not only does this, but that it has other high merits. It shows grasp of ideas and forces. It is graphic in its presentation of character and idiosyncrasy. It lights up its story by a delightful play of humor, felicitously expressed. Its emphasis on fundamentals, without pomposity or platitude, is refreshing. Perhaps most important of all, it achieves one goal that in the history of a living university is both extremely difficult and extremely valuable: it recreates the changing atmosphere of time and place. It is written, very plainly, by a man who has known and loved Cornell and Ithaca for a long time, who has steeped himself in the traditions and spirit of the institution, and who possesses the enthusiasm and skill to convey his understanding of these intangibles to the reader. The distinct personalities of Ezra Cornell and first president Andrew Dickson White dominate the early chapters. For a vignette of the founder, see Bishop's description of his first buildings (Cascadilla, Morrill, McGraw, White, Sibley): At best, he writes, they embody the character of Ezra Cornell, grim, gray, sturdy, and economical. To the English historian, James Anthony Froude, Mr. Cornell was the most surprising and venerable object I have seen in America. The first faculty, chosen by President White, reflected his character: his idealism, his faith in social emancipation by education, his dislike of dogmatism, confinement, and inherited orthodoxy; while the romantic upstate gothic architecture of such buildings as the President's house (now Andrew D. White Center for the Humanities), Sage Chapel, and Franklin Hall may be said to portray the taste and Soul of Andrew Dickson White. Other memorable characters are Louis Fuertes, the beloved naturalist; his student, Hugh Troy, who once borrowed Fuertes' rhinoceros-foot wastebasket for illicit if hilarious purposes; the more noteworthy and the more eccentric among the faculty of succeeding presidential eras; and of course Napoleon, the campus dog, whose talent for hailing streetcars brought him home safely—and alone—from the Penn game. The humor in A History of Cornell is at times kindly, at times caustic, and always illuminating. |
| computer science major cornell: Reasoning about Uncertainty, second edition Joseph Y. Halpern, 2017-04-07 Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability measures, complexity-theoretic considerations, and other topics. In order to deal with uncertainty intelligently, we need to be able to represent it and reason about it. In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty. Halpern surveys possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures; considers the updating of beliefs based on changing information and the relation to Bayes' theorem; and discusses qualitative, quantitative, and plausibilistic Bayesian networks. This second edition has been updated to reflect Halpern's recent research. New material includes a consideration of weighted probability measures and how they can be used in decision making; analyses of the Doomsday argument and the Sleeping Beauty problem; modeling games with imperfect recall using the runs-and-systems approach; a discussion of complexity-theoretic considerations; the application of first-order conditional logic to security. Reasoning about Uncertainty is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics. |
| computer science major cornell: Success and Luck Robert H. Frank, 2017-09-26 From New York Times bestselling author and economics columnist Robert Frank, a compelling book that explains why the rich underestimate the importance of luck in their success, why that hurts everyone, and what we can do about it How important is luck in economic success? No question more reliably divides conservatives from liberals. As conservatives correctly observe, people who amass great fortunes are almost always talented and hardworking. But liberals are also correct to note that countless others have those same qualities yet never earn much. In recent years, social scientists have discovered that chance plays a much larger role in important life outcomes than most people imagine. In Success and Luck, bestselling author and New York Times economics columnist Robert Frank explores the surprising implications of those findings to show why the rich underestimate the importance of luck in success—and why that hurts everyone, even the wealthy. Frank describes how, in a world increasingly dominated by winner-take-all markets, chance opportunities and trivial initial advantages often translate into much larger ones—and enormous income differences—over time; how false beliefs about luck persist, despite compelling evidence against them; and how myths about personal success and luck shape individual and political choices in harmful ways. But, Frank argues, we could decrease the inequality driven by sheer luck by adopting simple, unintrusive policies that would free up trillions of dollars each year—more than enough to fix our crumbling infrastructure, expand healthcare coverage, fight global warming, and reduce poverty, all without requiring painful sacrifices from anyone. If this sounds implausible, you'll be surprised to discover that the solution requires only a few, noncontroversial steps. Compellingly readable, Success and Luck shows how a more accurate understanding of the role of chance in life could lead to better, richer, and fairer economies and societies. |
| computer science major cornell: Fault Lines Karl Pillemer, Ph.D., 2022-11-01 Real solutions to a hidden epidemic: family estrangement. Estrangement from a family member is one of the most painful life experiences. It is devastating not only to the individuals directly involved--collateral damage can extend upward, downward, and across generations, More than 65 million Americans suffer such rifts, yet little guidance exists on how to cope with and overcome them. In this book, Karl Pillemer combines the advice of people who have successfully reconciled with powerful insights from social science research. The result is a unique guide to mending fractured families. Fault Lines shares for the first time findings from Dr. Pillemer's ten-year groundbreaking Cornell Reconciliation Project, based on the first national survey on estrangement; rich, in-depth interviews with hundreds of people who have experienced it; and insights from leading family researchers and therapists. He assures people who are estranged, and those who care about them, that they are not alone and that fissures can be bridged. Through the wisdom of people who have been there, Fault Lines shows how healing is possible through clear steps that people can use right away in their own families. It addresses such questions as: How do rifts begin? What makes estrangement so painful? Why is it so often triggered by a single event? Are you ready to reconcile? How can you overcome past hurts to build a new future with a relative? Tackling a subject that is achingly familiar to almost everyone, especially in an era when powerful outside forces such as technology and mobility are lessening family cohesion, Dr. Pillemer combines dramatic stories, science-based guidance, and practical repair tools to help people find the path to reconciliation. |
| computer science major cornell: Twenty Lectures on Algorithmic Game Theory Tim Roughgarden, 2016-08-30 Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management. |
| computer science major cornell: Computer Science National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on the Fundamentals of Computer Science: Challenges and Opportunities, 2004-10-06 Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation. |
| computer science major cornell: Materials Science and Engineering for the 1990s National Research Council, Division on Engineering and Physical Sciences, National Materials Advisory Board, Board on Physics and Astronomy, Commission on Engineering and Technical Systems, Commission on Physical Sciences, Mathematics, and Resources, Solid State Sciences Committee, Committee on Materials Science and Engineering, 1989-02-01 Materials science and engineering (MSE) contributes to our everyday lives by making possible technologies ranging from the automobiles we drive to the lasers our physicians use. Materials Science and Engineering for the 1990s charts the impact of MSE on the private and public sectors and identifies the research that must be conducted to help America remain competitive in the world arena. The authors discuss what current and future resources would be needed to conduct this research, as well as the role that industry, the federal government, and universities should play in this endeavor. |
| computer science major cornell: Applied Magnetism R. Gerber, C.D. Wright, G. Asti, 2013-03-09 This book is based on the contributions to a course, entitled Applied Magnetism, which was the 25th Course of the International School of Materials Science and Technology. The Course was held as a NATO Advanced Study Institute at the Ettore Majorana Centre in Erice, Sicily, Italy between the 1st and 12th July 1992, and attracted almost 70 participants from 15 different countries. The book deals with the theory, experiments and applications of the main topical areas of applied magnetism. These selected areas include the physics of magnetic recording, magnetic and magneto-optic recording devices, systems and media, magnetic fine particles, magnetic separation, domains and domain walls in soft magnetic materials, permanent magnets, magnetoresistance, thin film magneto-optics, and finally, microwave, optical and computational magnetics. The material is organised into I 0 self-contained chapters which together provide a comprehensive coverage of the subject of applied magnetism. The aim is to emphasise the connection between the fundamental theoretical concepts, key experiments and the important technological developments which have been achieved in this field up to the present time. Moreover, when and where possible, pointers to future trends are indicated which hopefully, together with the background material, will promote further advancement of research. The organizing committee would like to acknowledge the sponsorship of the NATO Scientific Affairs Division, the National Science Foundation of the USA, the Science and Engineering Research Council of the UK, the Italian Ministry of Education, the Italian Ministry of University and Scientific Research and the Sicilian Regional Government. |
| computer science major cornell: At the Heart of Freedom Drucilla Cornell, 1998-09-14 How can women create a meaningful and joyous life for themselves? Is it enough to be equal with men? In this provocative and wide-ranging book, Drucilla Cornell argues that women should transcend the quest for equality and focus on what she shows is a far more radical project: achieving freedom. Cornell takes us on a highly original exploration of what it would mean for women politically, legally, and culturally, if we took this ideal of freedom seriously--if, in her words, we recognized that hearts starve as well as bodies. She takes forceful and sometimes surprising stands on such subjects as abortion, prostitution, pornography, same-sex marriage, international human rights, and the rights and obligations of fathers. She also engages with what it means to be free on a theoretical level, drawing on the ideas of such thinkers as Kant, Rawls, Ronald Dworkin, Hegel, and Lacan. Cornell begins by discussing what she believes lies at the heart of freedom: the ability for all individuals to pursue happiness in their own way, especially in matters of love and sex. This is only possible, she argues, if we protect the imaginary domain--a psychic and moral space in which individuals can explore their own sources of happiness. She writes that equality with men does not offer such protection, in part because men themselves are not fully free. Instead, women must focus on ensuring that individuals face minimal interference from the state and from oppressive cultural norms. They must also respect some controversial individual choices. Cornell argues in favor of permitting same-sex couples to marry and adopt children, for example. She presses for access to abortion and for universal day care. She also justifies lifestyles that have not always been supported by other feminists, ranging from staying at home as a primary caregiver to engaging in prostitution. She argues that men should have similar freedoms--thus returning feminism to its promise that freedom for women would mean freedom for all. Challenging, passionate, and powerfully argued, Cornell's book will have a major impact on the course of feminist thought. |
| computer science major cornell: The Design and Analysis of Algorithms Dexter C. Kozen, 2012-12-06 These are my lecture notes from CS681: Design and Analysis of Algo rithms, a one-semester graduate course I taught at Cornell for three consec utive fall semesters from '88 to '90. The course serves a dual purpose: to cover core material in algorithms for graduate students in computer science preparing for their PhD qualifying exams, and to introduce theory students to some advanced topics in the design and analysis of algorithms. The material is thus a mixture of core and advanced topics. At first I meant these notes to supplement and not supplant a textbook, but over the three years they gradually took on a life of their own. In addition to the notes, I depended heavily on the texts • A. V. Aho, J. E. Hopcroft, and J. D. Ullman, The Design and Analysis of Computer Algorithms. Addison-Wesley, 1975. • M. R. Garey and D. S. Johnson, Computers and Intractibility: A Guide to the Theory of NP-Completeness. w. H. Freeman, 1979. • R. E. Tarjan, Data Structures and Network Algorithms. SIAM Regional Conference Series in Applied Mathematics 44, 1983. and still recommend them as excellent references. |
| computer science major cornell: Advanced Global Illumination Philip Dutre, Philippe Bekaert, Kavita Bala, 2018-10-24 This book provides a fundamental understanding of global illumination algorithms. It discusses a broad class of algorithms for realistic image synthesis and introduces a theoretical basis for the algorithms presented. Topics include: physics of light transport, Monte Carlo methods, general strategies for solving the rendering equation, stochastic path-tracing algorithms such as ray tracing and light tracing, stochastic radiosity including photon density estimation and hierarchical Monte Carlo radiosity, hybrid algorithms, metropolis light transport, irradiance caching, photon mapping and instant radiosity, beyond the rendering equation, image display and human perception. If you want to design and implement a global illumination rendering system or need to use and modify an existing system for your specific purpose, this book will give you the tools and the understanding to do so. |
| computer science major cornell: Reasoning About Knowledge Ronald Fagin, Joseph Y. Halpern, Yoram Moses, Moshe Vardi, 2004-01-09 Reasoning about knowledge—particularly the knowledge of agents who reason about the world and each other's knowledge—was once the exclusive province of philosophers and puzzle solvers. More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms. Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory. It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is intuitive, mathematically well founded, useful in practice, and widely applicable. The book is almost completely self-contained and should be accessible to readers in a variety of disciplines, including computer science, artificial intelligence, linguistics, philosophy, cognitive science, and game theory. Each chapter includes exercises and bibliographic notes. |
| computer science major cornell: Funding a Revolution National Research Council, Computer Science and Telecommunications Board, Committee on Innovations in Computing and Communications: Lessons from History, 1999-02-11 The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it. |
| computer science major cornell: The Last Lecture Randy Pausch, Jeffrey Zaslow, 2010 The author, a computer science professor diagnosed with terminal cancer, explores his life, the lessons that he has learned, how he has worked to achieve his childhood dreams, and the effect of his diagnosis on him and his family. |
| computer science major cornell: Bridging Linguistics and Economics Cécile B. Vigouroux, Salikoko S. Mufwene, 2020-03-19 By bridging the gap between linguistics and economics, this book sheds light on a range of mutually valuable topics. |
| computer science major cornell: The Fuzzy and the Techie Scott Hartley, 2018 A leading venture capitalist offers surprising revelations on who will be driving innovation in the years to come. |
| computer science major cornell: Computer Science Robert Sedgewick, Kevin Wayne, 2016-06-17 Named a Notable Book in the 21st Annual Best of Computing list by the ACM! Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831 |
| computer science major cornell: The War That Made the Roman Empire Barry Strauss, 2022-03-22 A “splendid” (The Wall Street Journal) account of one of history’s most important and yet little-known wars, the campaign culminating in the Battle of Actium in 31 BC, whose outcome determined the future of the Roman Empire. Following Caesar’s assassination and Mark Antony’s defeat of the conspirators who killed Caesar, two powerful men remained in Rome—Antony and Caesar’s chosen heir, young Octavian, the future Augustus. When Antony fell in love with the most powerful woman in the world, Egypt’s ruler Cleopatra, and thwarted Octavian’s ambition to rule the empire, another civil war broke out. In 31 BC one of the largest naval battles in the ancient world took place—more than 600 ships, almost 200,000 men, and one woman—the Battle of Actium. Octavian prevailed over Antony and Cleopatra, who subsequently killed themselves. The Battle of Actium had great consequences for the empire. Had Antony and Cleopatra won, the empire’s capital might have moved from Rome to Alexandria, Cleopatra’s capital, and Latin might have become the empire’s second language after Greek, which was spoken throughout the eastern Mediterranean, including Egypt. In this “superbly recounted” (The National Review) history, Barry Strauss, ancient history authority, describes this consequential battle with the drama and expertise that it deserves. The War That Made the Roman Empire is essential history that features three of the greatest figures of the ancient world. |
| computer science major cornell: The Design of Approximation Algorithms David P. Williamson, David B. Shmoys, 2011-04-26 Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling, facility location, and network design; to computer science problems in databases; to advertising issues in viral marketing. Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first part of the book is devoted to a single algorithmic technique, which is then applied to several different problems. The second part revisits the techniques but offers more sophisticated treatments of them. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems. |
| computer science major cornell: BIO2010 National Research Council, Division on Earth and Life Studies, Board on Life Sciences, Committee on Undergraduate Biology Education to Prepare Research Scientists for the 21st Century, 2003-02-13 Biological sciences have been revolutionized, not only in the way research is conductedâ€with the introduction of techniques such as recombinant DNA and digital technologyâ€but also in how research findings are communicated among professionals and to the public. Yet, the undergraduate programs that train biology researchers remain much the same as they were before these fundamental changes came on the scene. This new volume provides a blueprint for bringing undergraduate biology education up to the speed of today's research fast track. It includes recommendations for teaching the next generation of life science investigators, through: Building a strong interdisciplinary curriculum that includes physical science, information technology, and mathematics. Eliminating the administrative and financial barriers to cross-departmental collaboration. Evaluating the impact of medical college admissions testing on undergraduate biology education. Creating early opportunities for independent research. Designing meaningful laboratory experiences into the curriculum. The committee presents a dozen brief case studies of exemplary programs at leading institutions and lists many resources for biology educators. This volume will be important to biology faculty, administrators, practitioners, professional societies, research and education funders, and the biotechnology industry. |
| computer science major cornell: Patterns, Predictions, and Actions: Foundations of Machine Learning Moritz Hardt, Benjamin Recht, 2022-08-23 An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers |
| computer science major cornell: Building Problem Solvers Kenneth D. Forbus, Johan De Kleer, 1993 After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems. |
| computer science major cornell: Networks, Crowds, and Markets David Easley, Jon Kleinberg, 2010-07-19 Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others. |
| computer science major cornell: Algebraic Topology Allen Hatcher, 2002 An introductory textbook suitable for use in a course or for self-study, featuring broad coverage of the subject and a readable exposition, with many examples and exercises. |
| computer science major cornell: Media Technologies Tarleton Gillespie, Pablo J. Boczkowski, Kirsten A. Foot, 2014-01-24 Scholars from communication and media studies join those from science and technology studies to examine media technologies as complex, sociomaterial phenomena. In recent years, scholarship around media technologies has finally shed the assumption that these technologies are separate from and powerfully determining of social life, looking at them instead as produced by and embedded in distinct social, cultural, and political practices. Communication and media scholars have increasingly taken theoretical perspectives originating in science and technology studies (STS), while some STS scholars interested in information technologies have linked their research to media studies inquiries into the symbolic dimensions of these tools. In this volume, scholars from both fields come together to advance this view of media technologies as complex sociomaterial phenomena. The contributors first address the relationship between materiality and mediation, considering such topics as the lived realities of network infrastructure. The contributors then highlight media technologies as always in motion, held together through the minute, unobserved work of many, including efforts to keep these technologies alive. Contributors Pablo J. Boczkowski, Geoffrey C. Bowker, Finn Brunton, Gabriella Coleman, Gregory J. Downey, Kirsten A. Foot, Tarleton Gillespie, Steven J. Jackson, Christopher M. Kelty, Leah A. Lievrouw, Sonia Livingstone, Ignacio Siles, Jonathan Sterne, Lucy Suchman, Fred Turner |
| computer science major cornell: Reliable Distributed Systems Kenneth Birman, 2006-07-02 Explains fault tolerance in clear terms, with concrete examples drawn from real-world settings Highly practical focus aimed at building mission-critical networked applications that remain secure |
| computer science major cornell: Internet Law James Grimmelmann, 2024 |
| computer science major cornell: Molecular Nutrition Janos Zempleni, Hannelore Daniel, 2003 Molecular nutrition (the study of interactions between nutrients and various intracellular and extracellular molecules) is one of the most rapidly developing fields in nutritional science. Ultimately, molecular nutrition research will reveal how nutrients may affect fundamental processes such as DNA repair, cell proliferation, and apoptosis. This book is the only single complete volume available reviewing the field of molecular nutrition. It contains contributions from leading international experts, and reviews the most important and latest research from various areas of molecular nutrition. |
| computer science major cornell: Enchantments Marci Kwon, 2021-04-06 This book uncovers a largely overlooked strand of American modernism in Cornell's work that engaged with current issues through the metaphysical aspects of vernacular objects and experiences-- |
Field of Computer Science Ph.D. Student Handbook
Our computer science program is distinguished by the excellence of the faculty, by a long tradition of pioneering research, and by the breadth of its Ph.D. program. Faculty and Ph.D. students …
Graduate Studies in Computer Science at Cornell University
Ph.D. in Computer Science, Ithaca and New York City Consistently ranked among the five best CS departments in the country, with world-class research covering all fields in computer
Welcome to Cornell University Computer Science Master of …
At least 28 credits must be taken important for a letter grade or only 2 S/U credits will count towards your degree. In order to remain in good standing and in order to graduate, you must …
Syllabus - Department of Computer Science
CS 5416 is a course focused on the systems aspects of performance for cloud-hosted AI and ML applications such as LLMs, as well as complex systems in which AI or ML is just one element.
STUDENT SERVICES MEng in Computer Science at Cornell Tech
courses that are advanced and technical (5000 or above). At least 15 of those credits must come from CS courses that are n. t practicums, seminars, independent studies, o. gher will count …
2021-2022 Advanced Placement for Students in CALS
Major requirements are not included. Confirm credit with the department or faculty advisor.
Contents
The computer science Ph.D. program complies with the requirements of the Cornell Graduate School, which include requirements on residency, minimum grades, examinations, and …
Computer Science and Game Theory: A Brief Survey
In this article I survey some of the main themes of work in the area, with a focus on the work in computer science.
Welcome to Cornell University Computer Science Master of …
At least 28 credits must be taken for a letter grade or only 2 S/U credits will count towards your degree. In order to remain in good standing and in order to graduate, you must maintain an …
Introduction to Electrical and Computer Engineering - Cornell …
Cornell was founded because of ECE! Does something on the back of the statue relate to ECE? Take a picture with your cellphone and send it to your friend! Power systems . Computer …
Progress Toward Completion of the Mathematics Major
Computer Science Concentration Arts and Sciences students may be admitted to the math major after successfully completing a semester of multivariable calculus, a semester of linear algebra, …
Minor in Computer Science - rproxy.cs.cornell.edu
To Apply for a Computer Science Minor: • Once you have completed all of the courses for the minor, or are in your final semester of study and finishing up the minor, you are eligible to have …
CS4780/5780 - Machine Learning - Cornell University
Gerald Tesauro at IBM thought a neural network to play Backgammon. The net played 100K+ games against itself and beat the world champion.
ECONOMICS- COMPUTER SCIENCE JOINT MAJOR
institutions, including MIT, Cornell, and Brown that offer a. joint Economics/Computer Science major. This unique academic program is designed to provide. ... ECONOMICS- COMPUTER …
2019-2020 Credit Placement for Students in CALS
Computer Science A 5 4 credits Placement out of CS 1110. Department also offers placement exam during orientation. Major requirements are not included. Confirm credit with the …
www.suny.edu/majors - SUNY - The State University of New …
Computer & Information Science • Old Westbury, SUNY Poly BS/MS Accelerated Computer Engineering Technology • Alfred State (J), Farmingdale, SUNY Poly Computer Information …
Comment on paper: Position: Rethinking Post-Hoc Search …
We identify two major issues in the SoftDist paper: (1) the failure to run all steps of different baselines on the same hardware environment, and (2) the use of inconsistent time …
College of Engineering Information for Incoming Non-Degree …
Feb 7, 2022 · Of the 14 majors and 20 minors, all are open to exchange students except for Computer Science. Explore the options! Each exchange student must be accepted by an …
Master of Science Programs - Cornell University
Cohorts include students with backgrounds in statistics, mathematics, physics, computer science, engineering, biology, and healthcare. Developing a Shiny interface for “Maplet” analysis …
2024 Undergraduate Colleges, Majors, and Volunteer …
Students have volunteered with myriad organizations.
Minor in Computer Science - rproxy.cs.cornell.edu
To Apply for a Computer Science Minor: • Once you have completed all of the courses for the minor, or are in your final semester of study and finishing up the minor, you are eligible to have …
Field of Computer Science Ph.D. Student Handbook
The computer science Ph.D. program complies with the requirements of the Cornell Graduate School, which include requirements on residency, minimum grades, examinations, and …
ELLIOT ANSHELEVICH - Department of Computer Science
Computer Science (FOCS 2004). We study the ratio of the best Nash equilibrium with the centralized optimum (the price of stability) in a network design context where independent agents
index Computer S
You will find answers to almost all of your questions about the major in the website. Should you require further assistance, please visit us in 110 Gates Hall or email us at …
CS 316: Pipelining Hazards - Department of Computer Science
Computer Science Cornell University Kavita Bala, Computer Science, Cornell University Basic Pipelining Five stage “RISC” load-store architecture 1. Instruction fetch (IF) • get instruction …
The Cornell Commission: - Department of Computer Science
Cornell University has initiated an investigation into the so-called "computer virus" incident, and that the results of this investigation are to be made available to the general public. You further …
A Course in Discrete Structures - Department of Computer …
Why study discrete mathematics in computer science? It does not directly help us write programs. At the same time, it is the mathematics underlying almost all of computer science. Here are a …
CS/Math-4860 Course Description for Fall 2018 - Department …
Applied logic is increasingly important in mathematics, philosophy, and computer science. Cornell recognized this trend early and created the course Applied Logic, joint between Computer …
TanzeemChoudhury CV April 2015 - Department of Computer …
Current’Directions’in’Psychological’Science.’ [J.3] ’’’’’ Jamie’Snyder,’Eric’Baumer,’Stephen’Voida,’Phil’Adams,’P.,’Megan’Halpern,’Tanzeem’Choudhury,’and …
index Computer S
You will find answers to almost all of your questions about the major in the website. Should you require further assistance, please visit us in 110 Gates Hall or email us at …
