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| computer science major uc davis: Discovering Computer Science Jessen Havill, 2020-10-12 Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds. -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape. -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field. -- James Deverick, Senior Lecturer, The College of William and Mary This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs. -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration. |
| computer science major uc davis: Python Programming John M. Zelle, 2004 This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic. |
| computer science major uc davis: Performance Tuning of Scientific Applications David H. Bailey, Robert F. Lucas, Samuel Williams, 2010-11-23 With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas.Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring perf |
| computer science major uc davis: Principles of Computer Systems Gerald M. Karam, John C. Bryant, 1992 Describes computer system concepts in simple terms and offers information on how the low-level, compiler/interpreter activities of computers - arithmetic, I/O, array processing, character strings functions - are performed. A fictitious computer (CUSP), is used to exemplify the concepts discussed. |
| computer science major uc davis: Grape Pest Management, Third Edition LARRY J. BETTIGA, 2013-11-15 In the much anticipated 3rd edition of Grape Pest Management, more than 70 research scientists, cooperative extension advisors and specialists, growers, and pest control advisers have consolidated the latest scientific studies and research into one handy reference. The result is a comprehensive, easy-to-read pest management tool. The new edition, the first in over a decade, includes several new invasive species that are now major pests. It also reflects an improved understanding among researchers, farmers, and growers about the biology of pests. With nine expansive chapters, helpful, colorful photos throughout, here’s more of what you’ll find: •Diagnostic techniques for identifying vineyard problems •Detailed descriptions of more than a dozen diseases •Comprehensive, illustrated listings of insect and mite pests,including the recently emerging glassy winged sharpshooter and Virginia creeper leaf-hopper •Regional calendars of events for viticultural management •Up-to-date strategies for vegetation management |
| computer science major uc davis: Information Security Illuminated Michael G. Solomon, Mike Chapple, 2004-12-09 A comprehensive survey of the most current and critical information security practices, Information Security Illuminated is an excellent introduction to the fundamental concepts and applications for students and professionals alike. Key security concepts are discussed with clear, accessible language and reinforced by a large number of scenario-based exercises and practical review questions. Readers are then able to apply their knowledge through hands-on experience with computer security-related tools. Coverage begins with the basics of computer security (CIA and DAD triads, risk analysis, etc.), and moves quickly through to important, real-world topics such as access control methodologies, security principles and practices, business continuity planning and disaster recovery, firewalls, incident handling, and much more. In addition to providing the requisite material for a complete course in information security practices, the book can be used as a self-study guide for many of the basic security certifications. |
| computer science major uc davis: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer science major uc davis: The College Buzz Book , 2006-03-23 In this new edition, Vault publishes the entire surveys of current students and alumnni at more than 300 top undergraduate institutions, as well as the schools' responses to the comments. Each 4-to 5-page entry is composed of insider comments from students and alumni, as well as the schools' responses to the comments. |
| computer science major uc davis: The Myths of Security John Viega, 2009-06-19 Security. |
| computer science major uc davis: UC Davis Tristen Chang, Laura Hardgrove, 2005 Provides a look at the University of California, Davis from the students' viewpoint. |
| computer science major uc davis: Interaction Design Jenny Preece, Yvonne Rogers, Helen Sharp, 2002-02-08 The authors present an up-to-date exposition of the design of the current and next generation interactive technologies, such as the Web, mobiles and wearables. |
| computer science major uc davis: America's Best Graduate Schools , 1998 This 2004 annual report features rankings of graduate schools in the areas of business, education, engineering, law, medicine, and humanities. A directory containing over 1,000 programs is featured. Sections on financing education, attending part- or full-time, and getting a job are also included. |
| computer science major uc davis: How Wikipedia Works Phoebe Ayers, Charles Matthews, Ben Yates, 2008 Provides information on using and contributing to Wikipedia, covering such topics as evaluating the reliability of articles, editing existing articles, adding new articles, communiating with other users, and resolving content disputes. |
| computer science major uc davis: Vuelta Andrés Reséndez, 2021 The story of an uncovered voyage as colorful and momentous as any on record for the Age of Discovery--and of the Black mariner whose stunning accomplishment has been until now lost to history It began with a secret mission, no expenses spared. Spain, plotting to break Portugal's monopoly trade with the fabled Orient, set sail from a hidden Mexican port to cross the Pacific--and then, critically, to attempt the never-before-accomplished return, the vuelta. Four ships set out from Navidad, each one carrying a dream team of navigators. The smallest ship, guided by seaman Lope Martín, a mulatto who had risen through the ranks to become one of the most qualified pilots of the era, soon pulled far ahead and became mysteriously lost from the fleet. It was the beginning of a voyage of epic scope, featuring mutiny, murderous encounters with Pacific islanders, astonishing physical hardships--and at last a triumphant return to the New World. But the pilot of the fleet's flagship, the Augustine friar mariner Andrés de Urdaneta, later caught up with Martín to achieve the vuelta as well. It was he who now basked in glory, while Lope Martín was secretly sentenced to be hanged by the Spanish crown as repayment for his services. Acclaimed historian Andrés Reséndez, through brilliant scholarship and riveting storytelling--including an astonishing outcome for the resilient Lope Martín--sets the record straight. |
| computer science major uc davis: Funding a Revolution National Research Council, Computer Science and Telecommunications Board, Committee on Innovations in Computing and Communications: Lessons from History, 1999-02-11 The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it. |
| computer science major uc davis: The Ecological Detective Ray Hilborn, Marc Mangel, 1997-03-06 The book is not a set of pat statistical procedures but rather an approach. |
| computer science major uc davis: Navier-Stokes Turbulence Wolfgang Kollmann, 2019-11-21 The book serves as a core text for graduate courses in advanced fluid mechanics and applied science. It consists of two parts. The first provides an introduction and general theory of fully developed turbulence, where treatment of turbulence is based on the linear functional equation derived by E. Hopf governing the characteristic functional that determines the statistical properties of a turbulent flow. In this section, Professor Kollmann explains how the theory is built on divergence free Schauder bases for the phase space of the turbulent flow and the space of argument vector fields for the characteristic functional. Subsequent chapters are devoted to mapping methods, homogeneous turbulence based upon the hypotheses of Kolmogorov and Onsager, intermittency, structural features of turbulent shear flows and their recognition. |
| computer science major uc davis: Statistical Regression and Classification Norman Matloff, 2017-09-19 Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: * A thorough treatment of classical linear and generalized linear models, supplemented with introductory material on machine learning methods. * Since classification is the focus of many contemporary applications, the book covers this topic in detail, especially the multiclass case. * In view of the voluminous nature of many modern datasets, there is a chapter on Big Data. * Has special Mathematical and Computational Complements sections at ends of chapters, and exercises are partitioned into Data, Math and Complements problems. * Instructors can tailor coverage for specific audiences such as majors in Statistics, Computer Science, or Economics. * More than 75 examples using real data. The book treats classical regression methods in an innovative, contemporary manner. Though some statistical learning methods are introduced, the primary methodology used is linear and generalized linear parametric models, covering both the Description and Prediction goals of regression methods. The author is just as interested in Description applications of regression, such as measuring the gender wage gap in Silicon Valley, as in forecasting tomorrow's demand for bike rentals. An entire chapter is devoted to measuring such effects, including discussion of Simpson's Paradox, multiple inference, and causation issues. Similarly, there is an entire chapter of parametric model fit, making use of both residual analysis and assessment via nonparametric analysis. Norman Matloff is a professor of computer science at the University of California, Davis, and was a founder of the Statistics Department at that institution. His current research focus is on recommender systems, and applications of regression methods to small area estimation and bias reduction in observational studies. He is on the editorial boards of the Journal of Statistical Computation and the R Journal. An award-winning teacher, he is the author of The Art of R Programming and Parallel Computation in Data Science: With Examples in R, C++ and CUDA. |
| computer science major uc davis: Discrete Mathematics for Computer Science Gary Haggard, John Schlipf, Sue Whitesides, 2006 Master the fundamentals of discrete mathematics with DISCRETE MATHEMATICS FOR COMPUTER SCIENCE with Student Solutions Manual CD-ROM! An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems and this mathematics text shows you how to express precise ideas in clear mathematical language. Through a wealth of exercises and examples, you will learn how mastering discrete mathematics will help you develop important reasoning skills that will continue to be useful throughout your career. |
| computer science major uc davis: Choosing the Right College, 2004 , 2003 Evaluates the academic life, political atmosphere, and social conditions at more than one hundred of the top colleges and universities in the United States. |
| computer science major uc davis: The Art of Debugging with GDB, DDD, and Eclipse Norman Matloff, Peter Jay Salzman, 2008-09-15 Debugging is crucial to successful software development, but even many experienced programmers find it challenging. Sophisticated debugging tools are available, yet it may be difficult to determine which features are useful in which situations. The Art of Debugging is your guide to making the debugging process more efficient and effective. The Art of Debugging illustrates the use three of the most popular debugging tools on Linux/Unix platforms: GDB, DDD, and Eclipse. The text-command based GDB (the GNU Project Debugger) is included with most distributions. DDD is a popular GUI front end for GDB, while Eclipse provides a complete integrated development environment. In addition to offering specific advice for debugging with each tool, authors Norm Matloff and Pete Salzman cover general strategies for improving the process of finding and fixing coding errors, including how to: –Inspect variables and data structures –Understand segmentation faults and core dumps –Know why your program crashes or throws exceptions –Use features like catchpoints, convenience variables, and artificial arrays –Avoid common debugging pitfalls Real world examples of coding errors help to clarify the authors’ guiding principles, and coverage of complex topics like thread, client-server, GUI, and parallel programming debugging will make you even more proficient. You'll also learn how to prevent errors in the first place with text editors, compilers, error reporting, and static code checkers. Whether you dread the thought of debugging your programs or simply want to improve your current debugging efforts, you'll find a valuable ally in The Art of Debugging. |
| computer science major uc davis: Computational Bioengineering Guigen Zhang, 2015-04-01 Arguably the first book of its kind, Computational Bioengineering explores the power of multidisciplinary computer modeling in bioengineering. Written by experts, the book examines the interplay of multiple governing principles underlying common biomedical devices and problems, bolstered by case studies. It shows you how to take advantage of the la |
| computer science major uc davis: University Bulletin University of California (System), 1971 |
| computer science major uc davis: Women of the Vine Deborah Brenner, 2007-01-22 This book takes you on a very different journey to wine country, inviting you to enjoy the remarkable stories of twenty dynamic women in the world of wine. These women share their lives, wine tips, pairings, and most important, enthusiasm for wine while imparting their rich life lessons and wine expertise—a wonderful way to share your love for wine with the enterprising women who help bring it to your table. |
| computer science major uc davis: Web Development with Node and Express Ethan Brown, 2014-07 Learn how to build dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this hands-on guide, author Ethan Brown teaches you the fundamentals through the development of a fictional application that exposes a public website and a RESTful API. You’ll also learn web architecture best practices to help you build single-page, multi-page, and hybrid web apps with Express. Express strikes a balance between a robust framework and no framework at all, allowing you a free hand in your architecture choices. With this book, frontend and backend engineers familiar with JavaScript will discover new ways of looking at web development. Create webpage templating system for rendering dynamic data Dive into request and response objects, middleware, and URL routing Simulate a production environment for testing and development Focus on persistence with document databases, particularly MongoDB Make your resources available to other programs with RESTful APIs Build secure apps with authentication, authorization, and HTTPS Integrate with social media, geolocation, and other third-party services Implement a plan for launching and maintaining your app Learn critical debugging skills This book covers Express 4.0. |
| computer science major uc davis: Interactive Data Visualization for the Web Scott Murray, 2013-03-15 Create and publish your own interactive data visualization projects on the Web, even if you have no experience with either web development or data visualization. It’s easy with this hands-on guide. You’ll start with an overview of data visualization concepts and simple web technologies, and then learn how to use D3, a JavaScript library that lets you express data as visual elements in a web page. Interactive Data Visualization for the Web makes these skills available at an introductory level for designers and visual artists without programming experience, journalists interested in the emerging data journalism processes, and others keenly interested in visualization and publicly available data sources. Get a practical introduction to data visualization, accessible for beginners Focus on web-based tools that help you publish your creations quickly to a wide audience Learn about interactivity so you can engage users in exploring your data |
| computer science major uc davis: R and MATLAB David E. Hiebeler, 2018-09-03 The First Book to Explain How a User of R or MATLAB Can Benefit from the Other In today’s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to learn the other platform. The book makes the transition from one platform to the other as quick and painless as possible. Enables R and MATLAB Users to Easily Collaborate and Share Code The author covers essential tasks, such as working with matrices and vectors, writing functions and other programming concepts, graphics, numerical computing, and file input/output. He highlights important differences between the two platforms and explores common mistakes that are easy to make when transitioning from one platform to the other. |
| computer science major uc davis: Roundtable on Data Science Postsecondary Education National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Division on Engineering and Physical Sciences, Board on Science Education, Computer Science and Telecommunications Board, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, 2020-09-02 Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting. |
| computer science major uc davis: Stories Leonard C. Meeker, 2007-03 |
| computer science major uc davis: The Node Beginner Book Manuel Kiessling, 2012 Ryan Dahl, creator of Node.js: This is an amazing introduction to Node.js. The aim of The Node Beginner Book is to get you started with developing applications for Node.js, teaching you everything you need to know about advanced JavaScript along the way. |
| computer science major uc davis: Hispanic Engineer & IT , 1999-02 Hispanic Engineer & Information Technology is a publication devoted to science and technology and to promoting opportunities in those fields for Hispanic Americans. |
| computer science major uc davis: Handbook of Computational Social Science, Volume 2 Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, Lars Lyberg, 2021-11-10 The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors. |
| computer science major uc davis: Computing and Combinatorics Tandy Warnow, 2003-07-09 The papers in this volume were presented at the 9th Annual International C- puting and Combinatorics Conference (COCOON 2003), held July 25–28, 2003, in Big Sky, MT, USA. The topics cover most aspects of theoretical computer science and combinatorics related to computing. Submissionstotheconferencethisyearwereconductedelectronically.Atotal of 114 papers were submitted, of which 52 were accepted. The papers were evaluated by an international program committee consisting of Nina Amenta, Tetsuo Asano, Bernard Chazelle, Zhixiang Chen, Francis Chin, Kyung-Yong Chwa, Robert Cimikowski, Anne Condon, Michael Fellows, Anna Gal, Michael Hallett,DanielHuson,NaokiKatoh,D.T.Lee,BernardMoret,BrendanMumey, Gene Myers, Hung Quang Ngo, Takao Nishizeki, Cindy Phillips, David Sanko?, Denbigh Starkey, Jie Wang, Lusheng Wang, Tandy Warnow and Binhai Zhu. It is expected that most of the accepted papers will appear in a more complete form in scienti?c journals. The submitted papers were from Canada (6), China (7), Estonia (1), F- land (1), France (1), Germany (8), Israel (4), Italy (1), Japan (11), Korea (22), Kuwait (1), New Zealand (1), Singapore (2), Spain (1), Sweden (2), Switzerland (3), Taiwan (7), the UK (1) and the USA (34). Each paper was evaluated by at least three Program Committee members, assisted in some cases by subre- rees. In addition to selected papers, the conference also included three invited presentations by Jon Bentley, Dan Gus?eld and Joel Spencer. |
| computer science major uc davis: Quick Reference for Counselors , 2011 |
| computer science major uc davis: Need for Green Cards for Highly Skilled Workers United States. Congress. House. Committee on the Judiciary. Subcommittee on Immigration, Citizenship, Refugees, Border Security, and International Law, 2008 |
| computer science major uc davis: Advances in Computer and Information Sciences and Engineering Tarek Sobh, 2008-08-15 Advances in Computer and Information Sciences and Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Advances in Computer and Information Sciences and Engineering includes selected papers from the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007). |
| computer science major uc davis: Interactive Computer Graphics Edward Angel, 2009 Computer animation and graphics-once rare, complicated, and comparatively expensive-are now prevalent in everyday life from the computer screen to the movie screen. Interactive Computer Graphics is the only introduction to computer graphics text for undergraduates that fully integrates OpenGL and emphasizes application-based programming. Using C and C++, the top-down, programming-oriented approach allows for coverage of engaging 3D material early in the course so students immediately begin to create their own 3D graphics. Low-level algorithms (for topics such as line drawing and filling polygons) are presented after students learn to create graphics. This book is suitable for undergraduate students in computer science and engineering, for students in other disciplines who have good programming skills, and for professionals. |
| computer science major uc davis: Noontime Follies Elizabeth Gunn, 2015-07-01 A Minnesota police detective is plunged into corporate intrigue and cutting-edge science when a biochemist is found dead at his desk . . . Rutherford, Minnesota’s Property Crimes division has been busy. The town has had fourteen office break-ins in just five days—though nothing seems to have been taken. With GMO foods a growing industry in the area, controversy has been swirling, and threatening notes have been left by an environmental group. But curiosity turns to alarm when a lead scientist is found dead at his desk at one of the sites. As the small start-ups that received the messages are damaged and frightened by sneak attacks, Jake Hines and his team must embark on a steep learning curve. They’re not sure whether the professor’s death has to do with his pioneering scientific work, or something more personal . . . This is a fascinating whodunit in a series that “always delivers a satisfying mystery” (Booklist). |
| computer science major uc davis: The Insider's Guide to the Colleges, 2008 Yale Daily News, 2007-06-26 Student journalists at the Yale Daily News interview fellow students at over 320 colleges in the U.S. and Canada to produce detailed profiles on each campus in this premier peer-to-peer guide to colleges and universities. |
| computer science major uc davis: SWE , 2005 |
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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 …
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