| computer science building stony brook: Explorations in Computing John S. Conery, 2014-09-24 An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to |
| computer science building stony brook: Logics for Computer Science Anita Wasilewska, 2018-11-03 Providing an in-depth introduction to fundamental classical and non-classical logics, this textbook offers a comprehensive survey of logics for computer scientists. Logics for Computer Science contains intuitive introductory chapters explaining the need for logical investigations, motivations for different types of logics and some of their history. They are followed by strict formal approach chapters. All chapters contain many detailed examples explaining each of the introduced notions and definitions, well chosen sets of exercises with carefully written solutions, and sets of homework. While many logic books are available, they were written by logicians for logicians, not for computer scientists. They usually choose one particular way of presenting the material and use a specialized language. Logics for Computer Science discusses Gentzen as well as Hilbert formalizations, first order theories, the Hilbert Program, Godel's first and second incompleteness theorems and their proofs. It also introduces and discusses some many valued logics, modal logics and introduces algebraic models for classical, intuitionistic, and modal S4 and S5 logics. The theory of computation is based on concepts defined by logicians and mathematicians. Logic plays a fundamental role in computer science, and this book explains the basic theorems, as well as different techniques of proving them in classical and some non-classical logics. Important applications derived from concepts of logic for computer technology include Artificial Intelligence and Software Engineering. In addition to Computer Science, this book may also find an audience in mathematics and philosophy courses, and some of the chapters are also useful for a course in Artificial Intelligence. |
| computer science building stony brook: Remaking the American Patient Nancy Tomes, 2016-01-06 In a work that spans the twentieth century, Nancy Tomes questions the popular--and largely unexamined--idea that in order to get good health care, people must learn to shop for it. Remaking the American Patient explores the consequences of the consumer economy and American medicine having come of age at exactly the same time. Tracing the robust development of advertising, marketing, and public relations within the medical profession and the vast realm we now think of as health care, Tomes considers what it means to be a good patient. As she shows, this history of the coevolution of medicine and consumer culture tells us much about our current predicament over health care in the United States. Understanding where the shopping model came from, why it was so long resisted in medicine, and why it finally triumphed in the late twentieth century helps explain why, despite striking changes that seem to empower patients, so many Americans remain unhappy and confused about their status as patients today. |
| computer science building stony brook: The Data Science Design Manual Steven S. Skiena, 2017-07-01 This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) |
| computer science building stony brook: Algorithms and Data Structures for Massive Datasets Dzejla Medjedovic, Emin Tahirovic, 2022-08-16 Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets. In Algorithms and Data Structures for Massive Datasets you will learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects—and there’s no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you’ll find the sweet spot of saving space without sacrificing your data’s accuracy. About the technology Standard algorithms and data structures may become slow—or fail altogether—when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost. This unique book distills cutting-edge research papers into practical techniques for sketching, streaming, and organizing massive datasets on-disk and in the cloud. About the book Algorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories and entertaining illustrations, this friendly guide makes even complex concepts easy to understand. You’ll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases. What's inside Probabilistic sketching data structures Choosing the right database engine Designing efficient on-disk data structures and algorithms Algorithmic tradeoffs in massive-scale systems Computing percentiles with limited space resources About the reader Examples in Python, R, and pseudocode. About the author Dzejla Medjedovic earned her PhD in the Applied Algorithms Lab at Stony Brook University, New York. Emin Tahirovic earned his PhD in biostatistics from University of Pennsylvania. Illustrator Ines Dedovic earned her PhD at the Institute for Imaging and Computer Vision at RWTH Aachen University, Germany. Table of Contents 1 Introduction PART 1 HASH-BASED SKETCHES 2 Review of hash tables and modern hashing 3 Approximate membership: Bloom and quotient filters 4 Frequency estimation and count-min sketch 5 Cardinality estimation and HyperLogLog PART 2 REAL-TIME ANALYTICS 6 Streaming data: Bringing everything together 7 Sampling from data streams 8 Approximate quantiles on data streams PART 3 DATA STRUCTURES FOR DATABASES AND EXTERNAL MEMORY ALGORITHMS 9 Introducing the external memory model 10 Data structures for databases: B-trees, Bε-trees, and LSM-trees 11 External memory sorting |
| computer science building stony brook: Concise Guide to Software Testing Gerard O'Regan, 2019-09-30 This practically-focused textbook provides a concise and accessible introduction to the field of software testing, explaining the fundamental principles and offering guidance on applying the theory in an industrial environment. Topics and features: presents a brief history of software quality and its influential pioneers, as well as a discussion of the various software lifecycles used in software development; describes the fundamentals of testing in traditional software engineering, and the role that static testing plays in building quality into a product; explains the process of software test planning, test analysis and design, and test management; discusses test outsourcing, and test metrics and problem solving; reviews the tools available to support software testing activities, and the benefits of a software process improvement initiative; examines testing in the Agile world, and the verification of safety critical systems; considers the legal and ethical aspects of software testing, and the importance of software configuration management; provides key learning topics and review questions in every chapter, and supplies a helpful glossary at the end of the book. This easy-to-follow guide is an essential resource for undergraduate students of computer science seeking to learn about software testing, and how to build high quality and reliable software on time and on budget. The work will also be of interest to industrialists including software engineers, software testers, quality professionals and software managers, as well as the motivated general reader. |
| computer science building stony brook: Programming Models for Parallel Computing Pavan Balaji, 2015-11-06 An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng |
| computer science building stony brook: Programming Challenges Steven S Skiena, Miguel A. Revilla, 2006-04-18 There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available. |
| computer science building stony brook: Syntactica Richard K. Larson, David S. Warren, 1996 Software application tool design for undergraduate students to study natural language structure. Provides interface for creating grammars, viewing the structures that they assign to natural language expressions, and for transforming those structures by syntactic operations. |
| computer science building stony brook: The Algorithm Design Manual Steven S Skiena, 2009-04-05 This newly expanded and updated second edition of the best-selling classic continues to take the mystery out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW war stories relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java |
| computer science building stony brook: Computer Organization and Design RISC-V Edition David A. Patterson, John L. Hennessy, 2017-05-12 The new RISC-V Edition of Computer Organization and Design features the RISC-V open source instruction set architecture, the first open source architecture designed to be used in modern computing environments such as cloud computing, mobile devices, and other embedded systems. With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud. Updated content featuring tablet computers, Cloud infrastructure, and the x86 (cloud computing) and ARM (mobile computing devices) architectures is included. An online companion Web site provides advanced content for further study, appendices, glossary, references, and recommended reading. - Features RISC-V, the first such architecture designed to be used in modern computing environments, such as cloud computing, mobile devices, and other embedded systems - Includes relevant examples, exercises, and material highlighting the emergence of mobile computing and the cloud |
| computer science building stony brook: Mobile Development with C# Greg Shackles, 2012-05-07 It’s true: you can build native apps for iOS, Android, and Windows Phone with C# and the .NET Framework—with help from MonoTouch and Mono for Android. This hands-on guide shows you how to reuse one codebase across all three platforms by combining the business logic layer of your C# app with separate, fully native UIs. It’s an ideal marriage of platform-specific development and the write once, run everywhere philosophy. By building a series of simple applications, you’ll experience the advantages of using .NET in mobile development and learn how to write complete apps that access the unique features of today’s three most important mobile platforms. Learn the building blocks for building applications on iOS, Android, and Windows Phone Discover how the Mono tools interact with iOS and Android Use several techniques and patterns for maximizing non-UI code reuse Determine how much functionality can go into the shared business logic layer Connect to external resources with .NET’s rich networking stack Read and write data using each platform’s filesystem and local database Create apps to explore the platforms’ location and mapping capabilities |
| computer science building stony brook: Calculated Bets Steven S. Skiena, 2001-08-06 A story of using computer simulations and mathematical modeling techniques to predict the outcome of jai-alai matches and bet on them successfully. |
| computer science building stony brook: Image Objects Jacob Gaboury, 2021-08-03 How computer graphics transformed the computer from a calculating machine into an interactive medium, as seen through the histories of five technical objects. Most of us think of computer graphics as a relatively recent invention, enabling the spectacular visual effects and lifelike simulations we see in current films, television shows, and digital games. In fact, computer graphics have been around as long as the modern computer itself, and played a fundamental role in the development of our contemporary culture of computing. In Image Objects, Jacob Gaboury offers a prehistory of computer graphics through an examination of five technical objects--an algorithm, an interface, an object standard, a programming paradigm, and a hardware platform--arguing that computer graphics transformed the computer from a calculating machine into an interactive medium. Gaboury explores early efforts to produce an algorithmic solution for the calculation of object visibility; considers the history of the computer screen and the random-access memory that first made interactive images possible; examines the standardization of graphical objects through the Utah teapot, the most famous graphical model in the history of the field; reviews the graphical origins of the object-oriented programming paradigm; and, finally, considers the development of the graphics processing unit as the catalyst that enabled an explosion in graphical computing at the end of the twentieth century. The development of computer graphics, Gaboury argues, signals a change not only in the way we make images but also in the way we mediate our world through the computer--and how we have come to reimagine that world as computational. |
| computer science building stony brook: The Architecture of Open Source Applications Amy Brown, Greg Wilson, 2011 Beschrijving van vijfentwintig open source applicaties. |
| computer science building stony brook: Complex Network Analysis in Python Dmitry Zinoviev, 2018-01-19 Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems. |
| computer science building stony brook: Anna May Wong Shirley Jennifer Lim, 2019-04-09 Finalist for the 2020 Organization of American Historians Mary Nickliss Prize Pioneering Chinese American actress Anna May Wong made more than sixty films, headlined theater and vaudeville productions, and even starred in her own television show. Her work helped shape racial modernity as she embodied the dominant image of Chinese and, more generally, “Oriental” women between 1925 and 1940. In Anna May Wong, Shirley Jennifer Lim re-evaluates Wong’s life and work as a consummate artist by mining an historical archive of her efforts outside of Hollywood cinema. From her pan-European films and her self-made My China Film to her encounters with artists such as Josephine Baker, Carl Van Vechten, and Walter Benjamin, Lim scrutinizes Wong’s cultural production and self-fashioning. Byconsidering the salient moments of Wong’s career and cultural output, Lim’s analysis explores the deeper meanings, and positions the actress as an historical and cultural entrepreneur who rewrote categories of representation. Anna May Wong provides a new understanding of the actress’s career as an ingenious creative artist. |
| computer science building stony brook: Thicker Than Water Erica Cirino, 2021-10-07 Much of what you’ve heard about plastic pollution may be wrong. Instead of a great island of trash, the infamous Great Pacific Garbage Patch is made up of manmade debris spread over hundreds of miles of sea—more like a soup than a floating garbage dump. Recycling is more complicated than we were taught: less than nine percent of the plastic we create is reused, and the majority ends up in the ocean. And plastic pollution isn’t confined to the open ocean: it’s in much of the air we breathe and the food we eat. In Thicker Than Water: The Quest for Solutions to the Plastic Crisis, journalist Erica Cirino brings readers on a globe-hopping journey to meet the scientists and activists telling the real story of the plastic crisis. From the deck of a plastic-hunting sailboat with a disabled engine, to the labs doing cutting-edge research on microplastics and the chemicals we ingest, Cirino paints a full picture of how plastic pollution is threatening wildlife and human health. Thicker Than Water reveals that the plastic crisis is also a tale of environmental injustice, as poorer nations take in a larger share of the world’s trash, and manufacturing chemicals threaten predominantly Black and low-income communities. There is some hope on the horizon, with new laws banning single-use items and technological innovations to replace plastic in our lives. But Cirino shows that we can only fix the problem if we face its full scope and begin to repair our throwaway culture. Thicker Than Water is an eloquent call to reexamine the systems churning out waves of plastic waste. |
| computer science building stony brook: Networked Microgrids Peng Zhang, 2021-05-06 Discover scalable, dependable, intelligent solutions for integrating complex networked microgrids with this definitive guide. Combining resilient control, fast programmable networking, reachability analysis, and cyber-physical security, this is essential reading for researchers, professional engineers, and graduate students. |
| computer science building stony brook: Passing for Perfect erin Khuê Ninh, 2021-07-30 What is it about model-minority identity that is so hard to let go of? What is so enthralling about its high-achieving gloss-or terrifying about its reputational loss-that could drive someone to pose as a student (at Stanford, or medical school...), or even to murder?-- |
| computer science building stony brook: 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. |
| computer science building stony brook: Stony Brook Kristen J. Nyitray, Ann M. Becker, 2002-07-01 Amidst the idyllic grounds of Planting Fields, William Robertson Coe,'s arboretumestate in Oyster Bay, the State University College on Long Island opened in 1957 to prepare students for careers as science and mathematics teachers. A permanent campus was later established in historic Stony Brook on a four-hundred-eightyacre site donated by philanthropist Ward Melville. The images presented in Stony Brook: State University of New York chronicle the evolution of a teacher preparatory college into a world-renowned university that has made significant scientific, technological, academic, and artistic contributions in its forty-year history. Each photograph in Stony Brook: State University of New York is accompanied by descriptive narrative that illustrates the defining events in the history of the campus, including the university,'s founding at Planting Fields, the creation of the Stony Brook campus, Pres. John S. Toll,'s recruitment of top faculty, Pres. John Marburger III,'s expansion of the university,'s vision, and current president Dr. Shirley Strum Kenny,'s commitment to the state,'s original mandate ,to stand with the finest in the country., |
| computer science building stony brook: High Performance Integrated Circuit Design Emre Salman, Eby Friedman, 2012-08-21 The latest techniques for designing robust, high performance integrated circuits in nanoscale technologies Focusing on a new technological paradigm, this practical guide describes the interconnect-centric design methodologies that are now the major focus of nanoscale integrated circuits (ICs). High Performance Integrated Circuit Design begins by discussing the dominant role of on-chip interconnects and provides an overview of technology scaling. The book goes on to cover data signaling, power management, synchronization, and substrate-aware design. Specific design constraints and methodologies unique to each type of interconnect are addressed. This comprehensive volume also explains the design of specialized circuits such as tapered buffers and repeaters for data signaling, voltage regulators for power management, and phase-locked loops for synchronization. This is an invaluable resource for students, researchers, and engineers working in the area of high performance ICs. Coverage includes: Technology scaling Interconnect modeling and extraction Signal propagation and delay analysis Interconnect coupling noise Global signaling Power generation Power distribution networks CAD of power networks Techniques to reduce power supply noise Power dissipation Synchronization theory and tradeoffs Synchronous system characteristics On-chip clock generation and distribution Substrate noise in mixed-signal ICs Techniques to reduce substrate noise |
| computer science building stony brook: Preparing for Educational Leadership Kenneth Forman, Jeffrey Soloff, 2018-01-10 |
| computer science building stony brook: Sexuality Studies Sanjay Srivastava, 2013-06-06 Sexuality in general and particularly in India remains an ever enigmatic phenomenon, giving rise to a vast field of academic study across the social and human sciences. Through in-depth theoretical analysis and an array of case studies, this volume establishes a firm analytical framework for sexuality studies in the country. |
| computer science building stony brook: Handbook of Sustainability and Social Science Research Walter Leal Filho, Robert W. Marans, John Callewaert, 2017-10-26 In this handbook social science researchers who focus on sustainability present and discuss their findings, including empirical work, case studies, teaching and learning innovations, and applied projects. As such, the book offers a basis for the dissemination of information, ideas and experiences acquired in the execution of research projects, especially initiatives which have influenced behavior, decision-making, or policy. Furthermore, it introduces methodological approaches and projects which aim to offer a better understanding of sustainability across society and economic sectors. This multidisciplinary overview presents the work of researchers from across the spectrum of the social sciences. It stimulates innovative thinking on how social sciences influence sustainable development and vice-versa. |
| computer science building stony brook: An Introduction to Lie Groups and Lie Algebras Alexander A. Kirillov, 2008-07-31 This book is an introduction to semisimple Lie algebras. It is concise and informal, with numerous exercises and examples. |
| computer science building stony brook: Academic Fault Lines Patricia J. Gumport, 2019-07-16 How did public higher education become an industry? This unprecedented account reveals how campus leaders and faculty preserved the vitality and core values of public higher education despite changing resources and expectations. American public higher education is in crisis. After decades of public scrutiny over affordability, access, and quality, indictments of the institution as a whole abound. Campus leaders and faculty report a loss of public respect resulting from their alleged unresponsiveness to demands for change. But is this loss of confidence warranted? And how did we get to this point? In Academic Fault Lines, Patricia J. Gumport offers a compelling account of the profound shift in societal expectations for what public colleges and universities should be and do. She attributes these new attitudes to the ascendance of industry logic—the notion that higher education must prioritize serving the economy. Arguing that industry logic has had far-reaching effects, Gumport shows how this business-oriented mandate has prompted colleges to restructure for efficiency gains, adopt more corporate forms, develop deeper ties with industry, and mold academic programs in the interest of enhancing students' future employment prospects. She also explains how industry logic gained traction and momentum, altering what constitutes legitimacy for public higher education. Yet Gumport's narrative is by no means defeatist. Drawing on case studies of nine public colleges and universities, as well as more than 200 stakeholder interviews, Gumport's nuanced account conveys the successful efforts of leaders and educators to preserve and even strengthen fundamental public values such as educational access, knowledge advancement regardless of currency, and civic responsibility. Ultimately, Academic Fault Lines demonstrates how intrepid faculty and administrators engaged their communities both on and off campus, collaborating and inventing win-win scenarios to further public higher education's expanding legacy of service to all citizens while preserving its centrality to society and the world. |
| computer science building stony brook: Computational Conformal Geometry Xianfeng David Gu, Shing-Tung Yau, 2008 |
| computer science building stony brook: Basic Algebra Anthony W. Knapp, 2007-07-28 Basic Algebra and Advanced Algebra systematically develop concepts and tools in algebra that are vital to every mathematician, whether pure or applied, aspiring or established. Together, the two books give the reader a global view of algebra and its role in mathematics as a whole. The presentation includes blocks of problems that introduce additional topics and applications to science and engineering to guide further study. Many examples and hundreds of problems are included, along with a separate 90-page section giving hints or complete solutions for most of the problems. |
| computer science building stony brook: Contemporary Computing Manish Parashar, Dinesh Kaushik, Omer F. Rana, Ravi Samtaney, Yuanyuan Yang, Albert Y. Zomaya, 2012-08-10 This volume constitutes the refereed proceedings of the 5th International Conference on Contemporary Computing, IC3 2010, held in Noida, India, in August 2011. The 42 revised full papers presented together with 7 short papers were carefully reviewed and selected from 162 submissions. The papers are organized in topical sections on: algorithm; applications; systems (hardware and software); biomedical informations; poster papers. |
| computer science building stony brook: Financial Cryptography and Data Security Radu Sion, 2010-07-15 This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Financial Cryptography and Data Security, FC 2010, held in Tenerife, Canary Islands, Spain in January 2010. The 19 revised full papers and 15 revised short papers presented together with 1 panel report and 7 poster papers were carefully reviewed and selected from 130 submissions. The papers cover all aspects of securing transactions and systems and feature current research focusing on both fundamental and applied real-world deployments on all aspects surrounding commerce security. |
| computer science building stony brook: Asset Attack Vectors Morey J. Haber, Brad Hibbert, 2018-06-15 Build an effective vulnerability management strategy to protect your organization’s assets, applications, and data. Today’s network environments are dynamic, requiring multiple defenses to mitigate vulnerabilities and stop data breaches. In the modern enterprise, everything connected to the network is a target. Attack surfaces are rapidly expanding to include not only traditional servers and desktops, but also routers, printers, cameras, and other IOT devices. It doesn’t matter whether an organization uses LAN, WAN, wireless, or even a modern PAN—savvy criminals have more potential entry points than ever before. To stay ahead of these threats, IT and security leaders must be aware of exposures and understand their potential impact. Asset Attack Vectors will help you build a vulnerability management program designed to work in the modern threat environment. Drawing on years of combined experience, the authors detail the latest techniques for threat analysis, risk measurement, and regulatory reporting. They also outline practical service level agreements (SLAs) for vulnerability management and patch management. Vulnerability management needs to be more than a compliance check box; it should be the foundation of your organization’s cybersecurity strategy. Read Asset Attack Vectors to get ahead of threats and protect your organization with an effective asset protection strategy. What You’ll Learn Create comprehensive assessment and risk identification policies and procedures Implement a complete vulnerability management workflow in nine easy steps Understand the implications of active, dormant, and carrier vulnerability states Develop, deploy, and maintain custom and commercial vulnerability management programs Discover the best strategies for vulnerability remediation, mitigation, and removal Automate credentialed scans that leverage least-privilege access principles Read real-world case studies that share successful strategies and reveal potential pitfalls Who This Book Is For New and intermediate security management professionals, auditors, and information technology staff looking to build an effective vulnerability management program and defend against asset based cyberattacks |
| computer science building stony brook: Computational Molecular Biology S. Istrail, P. Pevzner, R. Shamir, 2003-04-02 This volume contains papers demonstrating the variety and richness of computational problems motivated by molecular biology. The application areas within biology that give rise to the problems studied in these papers include solid molecular modeling, sequence comparison, phylogeny, evolution, mapping, DNA chips, protein folding and 2D gel technology. The mathematical techniques used are algorithmics, combinatorics, optimization, probability, graph theory, complexity and applied mathematics. This is the fourth volume in the Discrete Applied Mathematics series on computational molecular biology, which is devoted to combinatorial and algorithmic techniques in computational molecular biology. This series publishes novel research results on the mathematical and algorithmic foundations of the inherently discrete aspects of computational biology. Key features: . protein folding . phylogenetic inference . 2-dimensional gel analysis . graphical models for sequencing by hybridisation . dynamic visualization of molecular surfaces . problems and algorithms in sequence alignment This book is a reprint of Discrete Applied Mathematics Volume 127, Number 1. |
| computer science building stony brook: Conformal Geometry Miao Jin, Xianfeng Gu, Ying He, Yalin Wang, 2018-04-10 This book offers an essential overview of computational conformal geometry applied to fundamental problems in specific engineering fields. It introduces readers to conformal geometry theory and discusses implementation issues from an engineering perspective. The respective chapters explore fundamental problems in specific fields of application, and detail how computational conformal geometric methods can be used to solve them in a theoretically elegant and computationally efficient way. The fields covered include computer graphics, computer vision, geometric modeling, medical imaging, and wireless sensor networks. Each chapter concludes with a summary of the material covered and suggestions for further reading, and numerous illustrations and computational algorithms complement the text. The book draws on courses given by the authors at the University of Louisiana at Lafayette, the State University of New York at Stony Brook, and Tsinghua University, and will be of interest to senior undergraduates, graduates and researchers in computer science, applied mathematics, and engineering. |
| computer science building stony brook: Turn Left at Orion Guy Consolmagno, Dan M. Davis, 2011-09-22 With over 100,000 copies sold since first publication, this is one of the most popular astronomy books of all time. It is a unique guidebook to the night sky, providing all the information you need to observe a whole host of celestial objects. With a new spiral binding, this edition is even easier to use outdoors at the telescope and is the ideal beginner's book. Keeping its distinct one-object-per-spread format, this edition is also designed for Dobsonian telescopes, as well as for smaller reflectors and refractors, and covers Southern hemisphere objects in more detail. Large-format eyepiece views, positioned side-by-side, show objects exactly as they are seen through a telescope, and with improved directions, updated tables of astronomical information and an expanded night-by-night Moon section, it has never been easier to explore the night sky on your own. Many additional resources are available on the accompanying website, www.cambridge.org/turnleft. |
| computer science building stony brook: Web Development and Design Foundations with Html5 Terry Felke-Morris, 2016-02-12 For courses in web development and design. A Comprehensive, Well-Rounded Intro to Web Development and Design Updated and expanded in this Eighth Edition, Web Development and Design Foundations with HTML5 presents a comprehensive introduction to the development of effective web sites. Intended for beginning web developers, the text relates both the necessary hard skills (such as HTML5, CSS, and JavaScript) and soft skills (design, e-commerce, and promotion strategies) considered fundamental to contemporary web development. An emphasis on hands-on practice guides readers, as the text introduces topics ranging from configuration and layout to accessibility techniques and ethical considerations. The Eighth Edition contains updated coverage of HTML5 and CSS, expanded coverage of designing for mobile devices, and more. |
| computer science building stony brook: Information Systems Security R. Sekar, Arun K. Pujari, 2008-12-04 This book constitutes the refereed proceedings of the 4th International Conference on Information Systems Security, ICISS 2008, held in Hyderabad, India, in December 2008. The 15 revised full papers, 4 short papers, and 2 research reports presented together with 4 keynote talks were carefully reviewed and selected from 81 submissions. The papers span a wide range of topics including access control, cryptography, forensics, formal methods and language-based security, intrusion detection, malware defense, network and Web security, operating system security, and privacy, and are organized in topical sections on languages and formal methods, protocols, ongoing research, intrusion detection, biometrics, forensics and steganography, and practical applications. |
| computer science building stony brook: Performance Modeling and Design of Computer Systems Mor Harchol-Balter, 2013-02-18 Written with computer scientists and engineers in mind, this book brings queueing theory decisively back to computer science. |
| computer science building stony brook: Fifth International Congress of Chinese Mathematicians Lizhen Ji, 2012 This two-part volume represents the proceedings of the Fifth International Congress of Chinese Mathematicians, held at Tsinghua University, Beijing, in December 2010. The Congress brought together eminent Chinese and overseas mathematicians to discuss the latest developments in pure and applied mathematics. Included are 60 papers based on lectures given at the conference. |
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top …
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components …
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
