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| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: Sequences and Power Series , |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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 |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: Quantum Information Theory Mark Wilde, 2013-04-18 A self-contained, graduate-level textbook that develops from scratch classical results as well as advances of the past decade. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: Logic Based Program Synthesis and Transformation Alberto Pettorossi, 2002-07-17 This book presents recent advances in the field of nanoscale characterization of ferroelectric materials using scanning probe microscopy (SPM). It addresses various imaging mechanisms of ferroelectric domains in SPM, quantitative analysis of the piezoresponse signals as well as basic physics of ferroelectrics at the nanoscale level, such as nanoscale switching, scaling effects, and transport behavior. This state-of-the-art review of theory and experiments on nanoscale polarization phenomena will be a useful reference for advanced readers as well for newcomers and graduate students interested in the SPM techniques. The non-specialists will obtain valuable information about different approaches to electrical characterization by SPM, while researchers in the ferroelectric field will be provided with details of SPM-based measurements of ferroelectrics. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: Deep Learning Andrew Glassner, 2021-06-22 A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including: • How text generators create novel stories and articles • How deep learning systems learn to play and win at human games • How image classification systems identify objects or people in a photo • How to think about probabilities in a way that's useful to everyday life • How to use the machine learning techniques that form the core of modern AI Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it. Full Color Illustrations |
| cornell university computer science acceptance rate: Distributed Computing Maurice Herlihy, 2003-07-31 DISC, the International Symposium on DIStributed Computing, is an annual forum for research presentations on all facets of distributed computing. DISC 2000 was held on4-6 October, 2000 in Toledo, Spain. This volume includes 23 contributed papers and the extended abstract of an invited lecture from last year’s DISC. It is expected that the regular papers will later be submitted in a more polished form to fully refereed scienti?c journals. The extended abstracts of this year’s invited lectures, by Jean-Claude Bermond and Sam Toueg, will appear in next year’s proceedings. We received over 100 regular submissions, a record for DISC. These s- missions were read and evaluated by the program committee, with the help of external reviewers when needed. Overall, the quality of the submissions was excellent, and we were unable to accept many deserving papers. This year’s Best Student Paper award goes to “Polynomial and Adaptive Long-Lived (2k?1)-Renaming” by Hagit Attiya and Arie Fouren. Arie Fouren is the student author. |
| cornell university computer science acceptance rate: InfoWorld , 1991-05-27 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| cornell university computer science acceptance rate: Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks Jie Wu, 2005-08-08 The availability of cheaper, faster, and more reliable electronic components has stimulated important advances in computing and communication technologies. Theoretical and algorithmic approaches that address key issues in sensor networks, ad hoc wireless networks, and peer-to-peer networks play a central role in the development of emerging network paradigms. Filling the need for a comprehensive reference on recent developments, Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks explores two questions: What are the central technical issues in these SAP networks? What are the possible solutions/tools available to address these issues? The editor brings together information from different research disciplines to initiate a comprehensive technical discussion on theoretical and algorithmic approaches to three related fields: sensor networks, ad hoc wireless networks, and peer-to-peer networks. With chapters written by authorities from Motorola, Bell Lab, and Honeywell, the book examines the theoretical and algorithmic aspects of recent developments and highlights future research challenges. The book's coverage includes theoretical and algorithmic methods and tools such as optimization, computational geometry, graph theory, and combinatorics. Although many books have emerged recently in this area, none of them address all three fields in terms of common issues. |
| cornell university computer science acceptance rate: Graduate Programs in Engineering & Applied Sciences 2015 (Grad 5) Peterson's, 2014-11-11 Peterson's Graduate Programs in Engineering & Applied Sciences 2015 contains comprehensive profiles of more than 3,850 graduate programs in all relevant disciplines-including aerospace/aeronautical engineering, agricultural engineering & bioengineering, chemical engineering, civil and environmental engineering, computer science and information technology, electrical and computer engineering, industrial engineering, telecommunications, and more. Two-page in-depth descriptions, written by featured institutions, offer complete details on a specific graduate program, school, or department as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the Peterson's graduate series. |
| cornell university computer science acceptance rate: Topics in the Theory of Computation M. Karpinski, J. van Leeuwen, 1985-01-01 This volume contains nine selected papers presented at the Borgholm conference. They were chosen on the basis of their immediate relevance to the most fundamental aspects of the theory of computation and the newest developments in this area.These papers, which have been extended and refereed, fall into eight categories: 1. Constructive Mathematics in Models of Computation and Programming; 2. Abstract Calculi and Denotational Semantics; 3. Theory of Machines, Computations and Languages; 4. Nondeterminism, Concurrency and Distributed Computing; 5. Abstract Algebras, Logics and Combinatorics in Computation Theory; 6. General Computability and Decidability; 7. Computational and Arithmetic Complexity; 8. Analysis of Algorithms and Feasible Computing. |
| cornell university computer science acceptance rate: Proceedings of the Fourth Annual ACM-SIAM Symposium on Discrete Algorithms , 1993-01-01 Annotation Proceedings of a conference that took place in Austin, Texas in January 1993. Contributors are impressive names from the field of computer science, including Donald Knuth, author of several computer books of biblical importance. The diverse selection of paper topics includes dynamic point location, ray shooting, and the shortest paths in planar maps; optimistic sorting and information theoretic complexity; and an optimal randomized algorithm for the cow-path problem. No index. Annotation copyright by Book News, Inc., Portland, OR. |
| cornell university computer science acceptance rate: Automated Deduction - CADE-17 David McAllester, 2006-12-30 For the past 25 years the CADE conference has been the major forum for the presentation of new results in automated deduction. This volume contains the papers and system descriptions selected for the 17th International Conference on Automated Deduction, CADE-17, held June 17-20, 2000,at Carnegie Mellon University, Pittsburgh, Pennsylvania (USA). Fifty-three research papers and twenty system descriptions were submitted by researchers from ?fteen countries. Each submission was reviewed by at least three reviewers. Twenty-four research papers and ?fteen system descriptions were accepted. The accepted papers cover a variety of topics related to t- orem proving and its applications such as proof carrying code, cryptographic protocol veri?cation, model checking, cooperating decision procedures, program veri?cation, and resolution theorem proving. The program also included three invited lectures: “High-level veri?cation using theorem proving and formalized mathematics” by John Harrison, “Sc- able Knowledge Representation and Reasoning Systems” by Henry Kautz, and “Connecting Bits with Floating-Point Numbers: Model Checking and Theorem Proving in Practice” by Carl Seger. Abstracts or full papers of these talks are included in this volume.In addition to the accepted papers, system descriptions, andinvited talks, this volumecontains one page summaries of four tutorials and ?ve workshops held in conjunction with CADE-17. |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: Computing and the National Science Foundation, 1950-2016 Peter A. Freeman, W. Richards Adrion, William Aspray, 2019-11-21 This organizational history relates the role of the National Science Foundation (NSF) in the development of modern computing. Drawing upon new and existing oral histories, extensive use of NSF documents, and the experience of two of the authors as senior managers, this book describes how NSF’s programmatic activities originated and evolved to become the primary source of funding for fundamental research in computing and information technologies. The book traces how NSF's support has provided facilities and education for computing usage by all scientific disciplines, aided in institution and professional community building, supported fundamental research in computer science and allied disciplines, and led the efforts to broaden participation in computing by all segments of society. Today, the research and infrastructure facilitated by NSF computing programs are significant economic drivers of American society and industry. For example, NSF supported work that led to the first widely-used web browser, Netscape; sponsored the creation of algorithms at the core of the Google search engine; facilitated the growth of the public Internet; and funded research on the scientific basis for countless other applications and technologies. NSF has advanced the development of human capital and ideas for future advances in computing and its applications. This account is the first comprehensive coverage of NSF's role in the extraordinary growth and expansion of modern computing and its use. It will appeal to historians of computing, policy makers and leaders in government and academia, and individuals interested in the history and development of computing and the NSF. |
| cornell university computer science acceptance rate: Analytics and Knowledge Management Suliman Hawamdeh, Hsia-Ching Chang, 2018-08-06 The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. |
| cornell university computer science acceptance rate: Study and Research Guide in Computer Science Wolfgang Tölle, Jason Yasner, Michael Pieper, 2012-12-06 Computer science departments at universities in the U.S.A. are world renowned. This handy reference guide gives detailed profiles of 40 of the best known among them. The profiles are organized in a uniform layout to present basic information, faculty, curriculum, courses for graduate students, affiilated institutions, facilities, research areas, funding, selected projects, and collaborations. Two full alphabetical listings of professors are included, one giving their universities and the other their research areas. The guide will be indispensible for anyone - student or faculty, not only in the U.S.A. - interested in research and education in computer science in the U.S.A. |
| cornell university computer science acceptance rate: Information Technology Policy Richard Coopey, 2004-08-26 Information Technology has become symbolic of modernity and progress almost since its inception. The nature and boundaries of IT have also meant that it has shaped, or become embedded within a wide range of other scientific, technological and economic developments. Governments, from the outset, saw the computer as a strategic technology, a keystone of economic development and an area where technology policy should be targeted. This was true for those economies interested in maintaining their technological and economic leadership, but also figured strongly in the developmental programmes of those seeking to modernise or catch up. So strong was the notion that IT policy should be the centre of economic strategy that predominant political economic ideologies have frequently been subverted or distorted to allow for special efforts to promote either the production or use of IT. This book brings together a series of country-based studies to examine, in depth, the nature and extent of IT policies as they have evolved from a complex historical interaction of politics, technology, institutions, and social and cultural factors. In doing so many key questions are critically examined. Where can we find successful examples of IT policy? Who has shaped policy? Who did governments turn to for advice in framing policy? Several chapters outline the impact of military influence on IT. What is the precise nature of this influence on IT development? How closely were industry leaders linked to government programs and to what extent were these programs, particularly those aimed at the generation of 'national champions', misconceived through undue special pleading? How effective were government personnel and politicians in assessing the merits of programs predicated on technological trajectories extrapolated from increasingly complex and specialised information? This book will be of interest to academics and graduate students of Management Studies, History, Economics, and Technology Studies, and Government and Corporate policy makers engaged with IT and Technology policy. |
| cornell university computer science acceptance rate: Grants and Awards for the Fiscal Year Ended ... National Science Foundation (U.S.), 1979 |
| cornell university computer science acceptance rate: A Logical Approach to Discrete Math David Gries, Fred B. Schneider, 2013-03-14 Here, the authors strive to change the way logic and discrete math are taught in computer science and mathematics: while many books treat logic simply as another topic of study, this one is unique in its willingness to go one step further. The book traets logic as a basic tool which may be applied in essentially every other area. |
| cornell university computer science acceptance rate: Colleges Worth Your Money Andrew Belasco, Dave Bergman, Michael Trivette, 2024-06-01 Colleges Worth Your Money: A Guide to What America's Top Schools Can Do for You is an invaluable guide for students making the crucial decision of where to attend college when our thinking about higher education is radically changing. At a time when costs are soaring and competition for admission is higher than ever, the college-bound need to know how prospective schools will benefit them both as students and after graduation. Colleges Worth Your Moneyprovides the most up-to-date, accurate, and comprehensive information for gauging the ROI of America’s top schools, including: In-depth profiles of 200 of the top colleges and universities across the U.S.; Over 75 key statistics about each school that cover unique admissions-related data points such as gender-specific acceptance rates, early decision acceptance rates, and five-year admissions trends at each college. The solid facts on career outcomes, including the school’s connections with recruiters, the rate of employment post-graduation, where students land internships, the companies most likely to hire students from a particular school, and much more. Data and commentary on each college’s merit and need-based aid awards, average student debt, and starting salary outcomes. Top Colleges for America’s Top Majors lists highlighting schools that have the best programs in 40+ disciplines. Lists of the “Top Feeder” undergraduate colleges into medical school, law school, tech, journalism, Wall Street, engineering, and more. |
| cornell university computer science acceptance rate: The Carnegie-Mellon Curriculum for Undergraduate Computer Science Mary Shaw, S.D. Brookes, M. Donner, J. Driscoll, M. Mauldin, R. Pausch, W.L. Scherlis, A.Z. Spector, 2012-12-06 This curriculum and its description were developed during the period 1981 - 1984 |
| cornell university computer science acceptance rate: Reflections on the Foundations of Mathematics: Essays in Honor of Solomon Feferman Wilfried Sieg, Richard Sommer, Carolyn Talcott, 2002-08-16 Solomon Feferman has shaped the field of foundational research for nearly half a century. These papers, most of which were presented at the symposium honoring him at his 70th birthday, reflect his broad interests as well as his approach to foundational research, which places the solution of mathematical and philosophical problems at the top of his |
| cornell university computer science acceptance rate: 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. |
| cornell university computer science acceptance rate: Samson Abramsky on Logic and Structure in Computer Science and Beyond Alessandra Palmigiano, Mehrnoosh Sadrzadeh, 2023-09-02 Samson Abramsky’s wide-ranging contributions to logical and structural aspects of Computer Science have had a major influence on the field. This book is a rich collection of papers, inspired by and extending Abramsky’s work. It contains both survey material and new results, organised around six major themes: domains and duality, game semantics, contextuality and quantum computation, comonads and descriptive complexity, categorical and logical semantics, and probabilistic computation. These relate to different stages and aspects of Abramsky’s work, reflecting its exceptionally broad scope and his ability to illuminate and unify diverse topics. Chapters in the volume include a review of his entire body of work, spanning from philosophical aspects to logic, programming language theory, quantum theory, economics and psychology, and relating it to a theory of unification of sciences using dual adjunctions. The section on game semantics shows how Abramsky’s work has led to a powerful new paradigm for the semantics of computation. The work on contextuality and categorical quantum mechanics has been highly influential, and provides the foundation for increasingly widely used methods in quantum computing. The work on comonads and descriptive complexity is building bridges between currently disjoint research areas in computer science, relating Structure to Power. The volume also includes a scientific autobiography, and an overview of the contributions. The outstanding set of contributors to this volume, including both senior and early career academics, serve as testament to Samson Abramsky’s enduring influence. It will provide an invaluable and unique resource for both students and established researchers. |
| cornell university computer science acceptance rate: Women Scientists in America Margaret W. Rossiter, 2012-04-02 This survey of female scientists in recent American history “offers compelling data alongside the multiple stories of individual women” (Science). The third volume of Margaret W. Rossiter’s landmark survey of the history of American women scientists focuses on their pioneering efforts and contributions from 1972 to the present. Central to this story are the struggles and successes of women scientists in the era of affirmative action. Scores of previously isolated women scientists were suddenly energized to do things they had rarely, if ever, done before—form organizations and recruit new members, start rosters and projects, put out newsletters, confront authorities, and even fight (and win) lawsuits. Rossiter follows the major activities of these groups in several fields—from engineering to the physical, biological, and social sciences—and their campaigns to raise consciousness, see legislation enforced, lobby for passage of the Equal Rights Amendment, and serve as watchdogs of the media. This comprehensive volume also covers the changing employment circumstances in the federal government, academia, industry, and the nonprofit sector and discusses contemporary battles to increase the number of women members of the National Academy of Science and women presidents of scientific societies. In writing this book, Rossiter mined nearly one hundred previously unexamined archival collections and more than fifty oral histories. With the thoroughness and resourcefulness that characterize the earlier volumes, she recounts the rich history of the courageous and resolute women determined to realize their scientific ambitions. |
| cornell university computer science acceptance rate: White Collar Crime David Mills, Robert Weisberg, 2020-02-02 This book serves as a comprehensive treatment of the main financial and public malfeasance crimes associated with the subject of white-collar crime. In student-friendly form, it teaches the operations of the major federal statutes in this area while unifying them according to the dominant cross-cutting themes of the nature of corruption and the types of harms to society, government, the legal system, and the market that justify the severity of these laws. It draws on case material not just from the Supreme Court but also from the lower federal courts where the hard work of implementing confessional mandates occurs. In such areas as Securities Fraud, it also covers the agency regulations that play an implementing role. Thus, it offers students rich exercises in statutory interpretation as well as case analysis. Highlights of the First Edition: Materials on perjury, false statements and obstruction of justice that are extremely timely in light of political controversies that reach back to the Nixon and Clinton administrations and are still relevant today Careful elaboration of the different crimes of bribery, including bribery of federal officials under 18 U.S.C. section 201, bribery of state and local officials under the Mail and Wire Fraud laws and federal program bribery law, and the Foreign Corrupt Practices Act Concise treatment of criminal Securities Fraud and Insider trading for students who have not otherwise studied Securities Regulation Extended treatment of the major mens rea issues in white-collar crime, as an advanced version of the subject of mens rea in the standard first-year Criminal Law course, with emphasis on such important doctrines as “deliberate ignorance” and the mental state of ”corruptly.” Professors and students will benefit from: Concisely edited case excerpts in very readable form. Handy Appendix with texts of all major statutes covered in the book. Short provocative notes raising questions of jurisprudence and social philosophy around problems of overcriminalization and the meaning of the concept of “corruption.” Concise non-technical material on cybercrime to show how modem technology raises themes of corruption similar to those of more conditional crimes. |
| cornell university computer science acceptance rate: Logic for Applications Anil Nerode, Richard A. Shore, 2012-12-06 In writing this book, our goal was to produce a text suitable for a first course in mathematical logic more attuned than the traditional textbooks to the recent dramatic growth in the applications of logic to computer science. Thus our choice of topics has been heavily influenced by such applications. Of course, we cover the basic traditional topics - syntax, semantics, soundness, completeness and compactness - as well as a few more advanced results such as the theorems of Skolem-Lowenheim and Herbrand. Much of our book, however, deals with other less traditional topics. Resolution theorem proving plays a major role in our treatment of logic, especially in its application to Logic Programming and PROLOG. We deal extensively with the mathematical foundations of all three of these subjects. In addition, we include two chapters on nonclassical logic- modal and intuitionistic - that are becoming increasingly important in computer science. We develop the basic material on the syntax and se mantics (via Kripke frames) for each of these logics. In both cases, our approach to formal proofs, soundness and completeness uses modifications of the same tableau method introduced for classical logic. We indicate how it can easily be adapted to various other special types of modal log ics. A number of more advanced topics (including nonmonotonic logic) are also briefly introduced both in the nonclassical logic chapters and in the material on Logic Programming and PROLOG. |
在康奈尔大学 (Cornell University) 就读是 …
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往 …
大家怎么看位于纽约市的 Cornell Tech…
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长 …
硕士毕业论文是深度学习相关，需要自 …
盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应 …
常春藤、25所新常春藤、公立常春藤 …
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易 …
如何评价英伟达发布的 Tesla V100 计算卡…
原文：Cornell University -> Cornell Virtual Workshop -> Understanding GPU Architecture -> GPU Example: Tesla V100. It's …
在康奈尔大学 (Cornell University) 就读是种怎样的体验？ - 知乎
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往的地方，那就是我在读书期间获得了沙特阿拉伯政府全额奖 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长期以来都有在纽约的分校，而且分校和本部之间联系紧密。 …
硕士毕业论文是深度学习相关，需要自己做数据集，但我做出来的 …
盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应该先在公开数据集上证明自己方法的有效性，然后再在自 …
常春藤、25所新常春藤、公立常春藤都是哪些学校？ - 知乎
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易斯华盛顿大学（Washington University in St. Louis）#16; 莱斯大 …
如何评价英伟达发布的 Tesla V100 计算卡？ - 知乎
原文：Cornell University -> Cornell Virtual Workshop -> Understanding GPU Architecture -> GPU Example: Tesla V100. It's fine to have a general understanding of what graphics processing …
致久坐腰疼的年轻人——七年总结的办公久坐护腰指南
Oct 24, 2023 · 根据2:1的规律，每天仍有至少有6小时以上的坐姿时间，更何况996的老哥门，每天至少有8小时需要坐在椅子上。
