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| computer science major memes: The World Made Meme Ryan M. Milner, 2018-04-13 How memetic media—aggregate texts that are collectively created, circulated, and transformed—become a part of public conversations that shape broader cultural debates. Internet memes—digital snippets that can make a joke, make a point, or make a connection—are now a lingua franca of online life. They are collectively created, circulated, and transformed by countless users across vast networks. Most of us have seen the cat playing the piano, Kanye interrupting, Kanye interrupting the cat playing the piano. In The World Made Meme, Ryan Milner argues that memes, and the memetic process, are shaping public conversation. It's hard to imagine a major pop cultural or political moment that doesn't generate a constellation of memetic texts. Memetic media, Milner writes, offer participation by reappropriation, balancing the familiar and the foreign as new iterations intertwine with established ideas. New commentary is crafted by the mediated circulation and transformation of old ideas. Through memetic media, small strands weave together big conversations. Milner considers the formal and social dimensions of memetic media, and outlines five basic logics that structure them: multimodality, reappropriation, resonance, collectivism, and spread. He examines how memetic media both empower and exclude during public conversations, exploring the potential for public voice despite everyday antagonisms. Milner argues that memetic media enable the participation of many voices even in the midst of persistent inequality. This new kind of participatory conversation, he contends, complicates the traditional culture industries. When age-old gatekeepers intertwine with new ways of sharing information, the relationship between collective participation and individual expression becomes ambivalent. For better or worse—and Milner offers examples of both—memetic media have changed the nature of public conversations. |
| computer science major memes: 101 Engineer Jokes for Engineers Elias Hill, 2017-09-25 Finally a joke book for engineers! This humorous 101 Engineer Jokes for Engineers book was created specifically for a person with a scientific and mathematical mind who can appreciate a little smart added to their humor. This book examines the frustrations of project work, dealing with inept co-workers, the struggles of engineering school and silly math and science puns. Who else but engineers could appreciate jokes about an omelet and pie? Oops, we mean an ohmlet and pi. Get this funny 101 Engineer Jokes for Engineers today for yourself or an engineer you know. Makes a great gift for that hard to shop for enginerd! |
| computer science major memes: Internet Memes and Society Anastasia Denisova, 2019-03-21 This book provides a solid, encompassing definition of Internet memes, exploring both the common features of memes around the globe and their particular regional traits. It identifies and explains the roles that these viral texts play in Internet communication: cultural, social and political implications; significance for self-representation and identity formation; promotion of alternative opinion or trending interpretation; and subversive and resistant power in relation to professional media, propaganda, and traditional and digital political campaigning. It also offers unique comparative case studies of Internet memes in Russia and the United States. |
| computer science major memes: Data Structures in Java Roberto Tamassia, Michael T. Goodrich, 2008 Data Structures in Java: A visual introduction uses a visually-based approach designed to help students appreciate concepts using their prior experiences and expectations. This vibrant visual approach is as rigorous and content-filled as the typical text-based approach but is a better match for today′s students who already have experience with how computers are used in their lives. The text provides applications and labs for subjects of interest such as Biology, Business, Sports, and Entertainment that are presented in visually-appealing presentations students can explore with little technical support from instructors. An accompanying website provides handouts, animations, and links to additional interactive resources. |
| computer science major memes: Religion Explained Pascal Boyer, 2007-03-21 Many of our questions about religion, says the internationally renowned anthropologist Pascal Boyer, were once mysteries, but they no longer are: we are beginning to know how to answer questions such as Why do people have religion? and Why is religion the way it is? Using findings from anthropology, cognitive science, linguistics, and evolutionary biology, Boyer shows how one of the most fascinating aspects of human consciousness is increasingly admissible to coherent, naturalistic explanation. And Man Creates God tells readers, for the first time, what religious feeling is really about, what it consists of, and how it originates. It is a beautifully written, very accessible book by an anthropologist who is highly respected on both sides of the Atlantic. As a scientific explanation for religious feeling, it is sure to arouse controversy. |
| computer science major memes: C++ For Dummies Stephen R. Davis, 2004-04-19 If you’ve thought of programmers as elite intelligentsia who possess expertise (and perhaps genes) the rest of us will never have, think again. C++ For Dummies, 5th Edition, debunks the myths, blasts the barriers, shares the secrets, and gets you started. In fact, by the end of Chapter 1, you’ll be able to create a C++ program. OK, it won’t be newest, flashiest video game, but it might be a practical, customized inventory control or record-keeping program. Most people catch on faster when they actually DO something, so C++ For Dummies includes a CD-ROM that gives you all you need to start programming (except the guidance in the book, of course), including: Dev-C, a full-featured, integrated C++ compiler and editor you install to get down to business The source code for the programs in the book, including code for BUDGET, programs that demonstrate principles in the book Documentation for the Standard Template Library Online C++ help files Written by Stephen Randy Davis, author of C++ Weekend Crash Course, C++ for Dummies, takes you through the programming process step-by-step. You’ll discover how to: Generate an executable Create source code, commenting it as you go and using consistent code indentation and naming conventions Write declarations and name variables, and calculate expressions Write and use a function, store sequences in arrays, and declare and use pointer variables Understand classes and object-oriented programming Work with constructors and destructors Use inheritance to extend classes Use stream I/O Comment your code as you go, and use consistent code indentation and naming conventions Automate programming with the Standard Template Library (STL) C++ for Dummies 5th Edition is updated for the newest ANSI standard to make sure you’re up to code. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| computer science major memes: The Oxford Handbook of Leadership and Organizations David Day, 2014-05-20 As the leadership field continues to evolve, there are many reasons to be optimistic about the various theoretical and empirical contributions in better understanding leadership from a scholarly and scientific perspective. The Oxford Handbook of Leadership and Organizations brings together a collection of comprehensive, state-of-the-science reviews and perspectives on the most pressing historical and contemporary leadership issues - with a particular focus on theory and research - and looks to the future of the field. It provides a broad picture of the leadership field as well as detailed reviews and perspectives within the respective areas. Each chapter, authored by leading international authorities in the various leadership sub-disciplines, explores the history and background of leadership in organizations, examines important research issues in leadership from both quantitative and qualitative perspectives, and forges new directions in leadership research, practice, and education. |
| computer science major memes: This Is Why We Can't Have Nice Things Whitney Phillips, 2015-02-27 Internet trolls live to upset as many people as possible, using all the technical and psychological tools at their disposal. They gleefully whip the media into a frenzy over a fake teen drug crisis; they post offensive messages on Facebook memorial pages, traumatizing grief-stricken friends and family; they use unabashedly racist language and images. They take pleasure in ruining a complete stranger's day and find amusement in their victim's anguish. In short, trolling is the obstacle to a kinder, gentler Internet. To quote a famous Internet meme, trolling is why we can't have nice things online. Or at least that's what we have been led to believe. In this provocative book, Whitney Phillips argues that trolling, widely condemned as obscene and deviant, actually fits comfortably within the contemporary media landscape. Trolling may be obscene, but, Phillips argues, it isn't all that deviant. Trolls' actions are born of and fueled by culturally sanctioned impulses -- which are just as damaging as the trolls' most disruptive behaviors. Phillips describes, for example, the relationship between trolling and sensationalist corporate media -- pointing out that for trolls, exploitation is a leisure activity; for media, it's a business strategy. She shows how trolls, the grimacing poster children for a socially networked world, align with social media. And she documents how trolls, in addition to parroting media tropes, also offer a grotesque pantomime of dominant cultural tropes, including gendered notions of dominance and success and an ideology of entitlement. We don't just have a trolling problem, Phillips argues; we have a culture problem. This Is Why We Can't Have Nice Things isn't only about trolls; it's about a culture in which trolls thrive. |
| computer science major memes: Building a Career in Software Daniel Heller, 2020-09-27 Software engineering education has a problem: universities and bootcamps teach aspiring engineers to write code, but they leave graduates to teach themselves the countless supporting tools required to thrive in real software companies. Building a Career in Software is the solution, a comprehensive guide to the essential skills that instructors don't need and professionals never think to teach: landing jobs, choosing teams and projects, asking good questions, running meetings, going on-call, debugging production problems, technical writing, making the most of a mentor, and much more. In over a decade building software at companies such as Apple and Uber, Daniel Heller has mentored and managed tens of engineers from a variety of training backgrounds, and those engineers inspired this book with their hundreds of questions about career issues and day-to-day problems. Designed for either random access or cover-to-cover reading, it offers concise treatments of virtually every non-technical challenge you will face in the first five years of your career—as well as a selection of industry-focused technical topics rarely covered in training. Whatever your education or technical specialty, Building a Career in Software can save you years of trial and error and help you succeed as a real-world software professional. What You Will Learn Discover every important nontechnical facet of professional programming as well as several key technical practices essential to the transition from student to professional Build relationships with your employer Improve your communication, including technical writing, asking good questions, and public speaking Who This Book is For Software engineers either early in their careers or about to transition to the professional world; that is, all graduates of computer science or software engineering university programs and all software engineering boot camp participants. |
| computer science major memes: The Meme Machine Susan Blackmore, 2000-03-16 Humans are extraordinary creatures, with the unique ability among animals to imitate and so copy from one another ideas, habits, skills, behaviours, inventions, songs, and stories. These are all memes, a term first coined by Richard Dawkins in 1976 in his book The Selfish Gene. Memes, like genes, are replicators, and this enthralling book is an investigation of whether this link between genes and memes can lead to important discoveries about the nature of the inner self. Confronting the deepest questions about our inner selves, with all our emotions, memories, beliefs, and decisions, Susan Blackmore makes a compelling case for the theory that the inner self is merely an illusion created by the memes for the sake of replication. |
| computer science major memes: Principles of Mathematics Carl Barnett Allendoerfer, Cletus Odia Oakley, 1953 |
| computer science major memes: Microserfs Douglas Coupland, 2011-06-21 From the era-defining author of Generation X comes a novel of overworked coders who escape the serfdom of Bill Gates to forge their own path. They are Microserfs—six code-crunching computer whizzes who spend upward of sixteen hours a day “coding” and eating “flat” foods (food which, like Kraft singles, can be passed underneath closed doors) as they fearfully scan company e-mail to learn whether the great Bill is going to “flame” one of them. But now there’s a chance to become innovators instead of cogs in the gargantuan Microsoft machine. The intrepid Microserfs are striking out on their own—living together in a shared digital flophouse as they desperately try to cultivate well-rounded lives and find love amid the dislocated, subhuman whir and buzz of their computer-driven world. |
| computer science major memes: Memetics Tim Tyler, 2011-08-19 Memetics is the name commonly given to the study of memes - a term originally coined by Richard Dawkins to describe small inherited elements of human culture. Memes are the cultural equivalent of DNA genes - and memetics is the cultural equivalent of genetics. Memes have become ubiquitous in the modern world - but there has been relatively little proper scientific study of how they arise, spread and change - apparently due to turf wars within the social sciences and misguided resistance to Darwinian explanations being applied to human behaviour. However, with the modern explosion of internet memes, I think this is bound to change. With memes penetrating into every mass media channel, and with major companies riding on their coat tails for marketing purposes, social scientists will surely not be able to keep the subject at arm's length for much longer. This will be good - because an understanding of memes is important. Memes are important for marketing and advertising. They are important for defending against marketing and advertising. They are important for understanding and managing your own mind. They are important for understanding science, politics, religion, causes, propaganda and popular culture. Memetics is important for understanding the origin and evolution of modern humans. It provides insight into the rise of farming, science, industry, technology and machines. It is important for understanding the future of technological change and human evolution. This book covers the basic concepts of memetics, giving an overview of its history, development, applications and the controversy that has been associated with it. |
| computer science major memes: How the Internet Happened: From Netscape to the iPhone Brian McCullough, 2018-10-23 A Library Journal Best Book of the Year Tech-guru Brian McCullough delivers a rollicking history of the internet, why it exploded, and how it changed everything. The internet was never intended for you, opines Brian McCullough in this lively narrative of an era that utterly transformed everything we thought we knew about technology. In How the Internet Happened, he chronicles the whole fascinating story for the first time, beginning in a dusty Illinois basement in 1993, when a group of college kids set off a once-in-an-epoch revolution with what would become the first “dotcom.” Depicting the lives of now-famous innovators like Netscape’s Marc Andreessen and Facebook’s Mark Zuckerberg, McCullough also reveals surprising quirks and unknown tales as he tracks both the technology and the culture around the internet’s rise. Cinematic in detail and unprecedented in scope, the result both enlightens and informs as it draws back the curtain on the new rhythm of disruption and innovation the internet fostered, and helps to redefine an era that changed every part of our lives. |
| computer science major memes: 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 major memes: The Professional Practice of Landscape Architecture Walter Rogers, 2010-09-09 The all-inclusive reference to starting and operating a landscape architecture firm The Professional Practice of Landscape Architecture, Second Edition is completely revised to keep up with the latest developments driving the day-to-day operation of a successful private-practice landscape architecture office. Whether helping a landscape architecture student identify a career track, providing direction on starting a new office, guiding an owner seeking to jumpstart a stagnant or fledgling business, or assisting a landscape architect-in-training study for the national Landscape Architecture Registration Exam (LARE), this single-source blueprint is the key to prospering in this dynamic field. This new edition features: Indispensible information for practicing landscape architects, including professional ethics, finances, office administration, marketing and promotion, and project management An updated look at government regulatory laws, federal tax administration, sustainable design, and LEED certification Strategies for using the Internet, computer software, and technology to market and manage a firm Examples of professional contract templates Case study profiles of landscape architecture firms Requirements for professional registration and criteria for taking the national exam This comprehensive and practical reference combines real-world experience with the highest professional standards to instruct the reader on business concepts. Expertly organized and easy to follow, The Professional Practice of Landscape Architecture, Second Edition continues to be the one source that landscape architects need to direct all facets of their practice. |
| computer science major memes: The Discursive Power of Memes in Digital Culture Bradley E. Wiggins, 2019-02-25 Shared, posted, tweeted, commented upon, and discussed online as well as off-line, internet memes represent a new genre of online communication, and an understanding of their production, dissemination, and implications in the real world enables an improved ability to navigate digital culture. This book explores cases of cultural, economic, and political critique levied by the purposeful production and consumption of internet memes. Often images, animated GIFs, or videos are remixed in such a way to incorporate intertextual references, quite frequently to popular culture, alongside a joke or critique of some aspect of the human experience. Ideology, semiotics, and intertextuality coalesce in the book’s argument that internet memes represent a new form of meaning-making, and the rapidity by which they are produced and spread underscores their importance. |
| computer science major memes: Digital Virtues and Memes Alistair Davidson, 2014-11-04 Digital Virtues and Memes focuses upon the consequences of being involved with the Internet in many ways. Increasingly marketers are using the Internet to test and craft creative ways of extracting money from your pocketbook. Companies are building profiles of you and your activities. And cybercriminals are breaking into companies and finding out too much about you. Yet, the Internet and mobile devices like smart phones are increasingly useful. This is the first book to address best practices in defending yourself on the Internet, avoiding spending too much money and regaining control of your life. |
| computer science major memes: The Selfish Gene Richard Dawkins, 1989 Science need not be dull and bogged down by jargon, as Richard Dawkins proves in this entertaining look at evolution. The themes he takes up are the concepts of altruistic and selfish behaviour; the genetical definition of selfish interest; the evolution of aggressive behaviour; kinshiptheory; sex ratio theory; reciprocal altruism; deceit; and the natural selection of sex differences. 'Should be read, can be read by almost anyone. It describes with great skill a new face of the theory of evolution.' W.D. Hamilton, Science |
| computer science major memes: The End of Protest Micah White, 2016-03-15 Is protest broken? Micah White, co-creator of Occupy Wall Street, thinks so. Disruptive tactics have failed to halt the rise of Donald Trump. Movements ranging from Black Lives Matter to environmentalism are leaving activists frustrated. Meanwhile, recent years have witnessed the largest protests in human history. Yet these mass mobilizations no longer change society. Now activism is at a crossroads: innovation or irrelevance. In The End of Protest Micah White heralds the future of activism. Drawing on his unique experience with Occupy Wall Street, a contagious protest that spread to eighty-two countries, White articulates a unified theory of revolution and eight principles of tactical innovation that are destined to catalyze the next generation of social movements. Despite global challenges—catastrophic climate change, economic collapse and the decline of democracy—White finds reason for optimism: the end of protest inaugurates a new era of social change. On the horizon are increasingly sophisticated movements that will emerge in a bid to challenge elections, govern cities and reorient the way we live. Activists will reshape society by forming a global political party capable of winning elections worldwide. In this provocative playbook, White offers three bold, revolutionary scenarios for harnessing the creativity of people from across the political spectrum. He also shows how social movements are created and how they spread, how materialism limits contemporary activism, and why we must re-conceive protest in timelines of centuries, not days. Rigorous, original and compelling, The End of Protest is an exhilarating vision of an all-encompassing revolution of revolution. |
| computer science major memes: I Love Jesus, But I Want to Die Sarah J. Robinson, 2021-05-11 A compassionate, shame-free guide for your darkest days “A one-of-a-kind book . . . to read for yourself or give to a struggling friend or loved one without the fear that depression and suicidal thoughts will be minimized, medicalized or over-spiritualized.”—Kay Warren, cofounder of Saddleback Church What happens when loving Jesus doesn’t cure you of depression, anxiety, or suicidal thoughts? You might be crushed by shame over your mental illness, only to be told by well-meaning Christians to “choose joy” and “pray more.” So you beg God to take away the pain, but nothing eases the ache inside. As darkness lingers and color drains from your world, you’re left wondering if God has abandoned you. You just want a way out. But there’s hope. In I Love Jesus, But I Want to Die, Sarah J. Robinson offers a healthy, practical, and shame-free guide for Christians struggling with mental illness. With unflinching honesty, Sarah shares her story of battling depression and fighting to stay alive despite toxic theology that made her afraid to seek help outside the church. Pairing her own story with scriptural insights, mental health research, and simple practices, Sarah helps you reconnect with the God who is present in our deepest anguish and discover that you are worth everything it takes to get better. Beautifully written and full of hard-won wisdom, I Love Jesus, But I Want to Die offers a path toward a rich, hope-filled life in Christ, even when healing doesn’t look like what you expect. |
| computer science major memes: Barron's AP Computer Science A with CD-ROM Roselyn Teukolsky, 2015-01-01 This updated manual presents computer science test takers with— Three AP practice tests for the Level A course, including a diagnostic test Charts detailing the topics for each test question All test questions answered and explained A subject review covers static variables, the List interface, Integer. MAX_VALUE, and Integer. MIN_VALUE. The practice exams contain several new questions on two-dimensional arrays and reflect the new free-response style used on the 2012 AP exam. This manual comes with aCD-ROM that has two more model AP exams with answers, explanations, automatic scoring for multiple-choice questions, and a scoring chart. BONUS ONLINE PRACTICE TEST: Students who purchase this book or package will also get FREE access to one additional full-length online AP Computer Science A test with all questions answered and explained. System Requirements: This program will run on a PC with: 2.33GHz or faster x86-compatible processor, or Intel® Atomâ„¢ 1.6GHz or faster processor for netbooks Microsoft® Windows® Server 2008, Windows Vista® Home Premium, Business, Ultimate, or Enterprise (including 64 bit editions) with Service Pack 2, Windows 7, or Windows 8 Classic 512MB of RAM (1GB of RAM recommended) This program will run on a Mac® with: Intel Coreâ„¢ Duo 1.83GHz or faster processor Mac OS X v10.6, v10.7, v10.8, or v10.9 512MB of RAM (1GB of RAM recommended) |
| computer science major memes: Learn Quantum Computing with Python and Q# Sarah C. Kaiser, Christopher Grenade, 2021-07-27 Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft’s Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Use Python to build your own quantum simulator and take advantage of Microsoft’s open source tools to fine-tune quantum algorithms. The authors explain complex math and theory through stories, visuals, and games. You’ll learn to apply quantum to real-world applications, such as sending secret messages and solving chemistry problems. What's inside The underlying mechanics of quantum computers Simulating qubits in Python Exploring quantum algorithms with Q# Applying quantum computing to chemistry, arithmetic, and data About the reader For software developers. No prior experience with quantum computing required. About the author Dr. Sarah Kaiser works at the Unitary Fund, a non-profit organization supporting the quantum open-source ecosystem, and is an expert in building quantum tech in the lab. Dr. Christopher Granade works in the Quantum Systems group at Microsoft, and is an expert in characterizing quantum devices. Table of Contents PART 1 GETTING STARTED WITH QUANTUM 1 Introducing quantum computing 2 Qubits: The building blocks 3 Sharing secrets with quantum key distribution 4 Nonlocal games: Working with multiple qubits 5 Nonlocal games: Implementing a multi-qubit simulator 6 Teleportation and entanglement: Moving quantum data around PART 2 PROGRAMMING QUANTUM ALGORITHMS IN Q# 7 Changing the odds: An introduction to Q# 8 What is a quantum algorithm? 9 Quantum sensing: It’s not just a phase PART 3 APPLIED QUANTUM COMPUTING 10 Solving chemistry problems with quantum computers 11 Searching with quantum computers 12 Arithmetic with quantum computers |
| computer science major memes: Hackers & Painters Paul Graham, 2004-05-18 The author examines issues such as the rightness of web-based applications, the programming language renaissance, spam filtering, the Open Source Movement, Internet startups and more. He also tells important stories about the kinds of people behind technical innovations, revealing their character and their craft. |
| computer science major memes: Data Structures and Algorithm Analysis in Java, Third Edition Clifford A. Shaffer, 2012-09-06 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language. |
| computer science major memes: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
| computer science major memes: From Mathematics to Generic Programming Alexander A. Stepanov, Daniel E. Rose, 2014-11-13 In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles of generic programming and the mathematical concept of abstraction on which it is based, helping you write code that is both simpler and more powerful. If you’re a reasonably proficient programmer who can think logically, you have all the background you’ll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem. As you read this book, you’ll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You’ll also gain deep insight into the value of mathematics to programming—insight that will prove invaluable no matter what programming languages and paradigms you use. You will learn about How to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiency Ancient paradoxes, beautiful theorems, and the productive tension between continuous and discrete A simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on it Powerful mathematical approaches to abstraction How abstract algebra provides the idea at the heart of generic programming Axioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structures Surprising subtleties of simple programming tasks and what you can learn from them How practical implementations can exploit theoretical knowledge |
| computer science major memes: Seed to Harvest Paige Finn Doherty, 2021-05-26 |
| computer science major memes: On Military Science: A Guide to Understanding the Meaning of F.O.I. (Volume 1) Mikaeel D. Shabazz Muhammad, 2011-10-24 Collection of essays, letters, and class outlines based on military science and the teachings of the Most Hon. Elijah Muhammad as represented by the Hon. Louis Farrakhan of the Nation of Islam |
| computer science major memes: Introduction to Evolutionary Computing A.E. Eiben, J.E. Smith, 2007-08-06 The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields. |
| computer science major memes: Coding Literacy Annette Vee, 2017-07-28 How the theoretical tools of literacy help us understand programming in its historical, social and conceptual contexts. The message from educators, the tech community, and even politicians is clear: everyone should learn to code. To emphasize the universality and importance of computer programming, promoters of coding for everyone often invoke the concept of “literacy,” drawing parallels between reading and writing code and reading and writing text. In this book, Annette Vee examines the coding-as-literacy analogy and argues that it can be an apt rhetorical frame. The theoretical tools of literacy help us understand programming beyond a technical level, and in its historical, social, and conceptual contexts. Viewing programming from the perspective of literacy and literacy from the perspective of programming, she argues, shifts our understandings of both. Computer programming becomes part of an array of communication skills important in everyday life, and literacy, augmented by programming, becomes more capacious. Vee examines the ways that programming is linked with literacy in coding literacy campaigns, considering the ideologies that accompany this coupling, and she looks at how both writing and programming encode and distribute information. She explores historical parallels between writing and programming, using the evolution of mass textual literacy to shed light on the trajectory of code from military and government infrastructure to large-scale businesses to personal use. Writing and coding were institutionalized, domesticated, and then established as a basis for literacy. Just as societies demonstrated a “literate mentality” regardless of the literate status of individuals, Vee argues, a “computational mentality” is now emerging even though coding is still a specialized skill. |
| computer science major memes: The Social Science Encyclopedia Adam Kuper, 2004-10-14 The Social Science Encyclopedia, first published in 1985 to acclaim from social scientists, librarians and students, was thoroughly revised in 1996, when reviewers began to describe it as a classic. This third edition has been radically recast. Over half the entries are new or have been entirely rewritten, and most of the balance have been substantially revised. Written by an international team of contributors, the Encyclopedia offers a global perspective on key issues within the social sciences. Some 500 entries cover a variety of enduring and newly vital areas of study and research methods. Experts review theoretical debates from neo-evolutionism and rational choice theory to poststructuralism, and address the great questions that cut across the social sciences. What is the influence of genes on behaviour? What is the nature of consciousness and cognition? What are the causes of poverty and wealth? What are the roots of conflict, wars, revolutions and genocidal violence? This authoritative reference work is aimed at anyone with a serious interest in contemporary academic thinking about the individual in society. |
| computer science major memes: Essentials of Metaheuristics (Second Edition) Sean Luke, 2012-12-20 Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, NSGA-II, SPEA2, GRASP, Ant Colony Optimization variants, Guided Local Search, LEM, PBIL, UMDA, cGA, BOA, SAMUEL, ZCS, XCS, and XCSF. |
| computer science major memes: Advances in Information Retrieval Nazli Goharian, |
| computer science major memes: Advances in Computer Science, Environment, Ecoinformatics, and Education, Part III Sally Lin, Xiong Huang, 2011-08-09 This 5-volume set (CCIS 214-CCIS 218) constitutes the refereed proceedings of the International Conference on Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011, held in Wuhan, China, in July 2011. The 525 revised full papers presented in the five volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on information security, intelligent information, neural networks, digital library, algorithms, automation, artificial intelligence, bioinformatics, computer networks, computational system, computer vision, computer modelling and simulation, control, databases, data mining, e-learning, e-commerce, e-business, image processing, information systems, knowledge management and knowledge discovering, mulitimedia and its apllication, management and information system, moblie computing, natural computing and computational intelligence, open and innovative education, pattern recognition, parallel and computing, robotics, wireless network, web application, other topics connecting with computer, environment and ecoinformatics, modeling and simulation, environment restoration, environment and energy, information and its influence on environment, computer and ecoinformatics, biotechnology and biofuel, as well as biosensors and bioreactor. |
| computer science major memes: The Social Design of Technical Systems Brian Whitworth, Adnan Ahmad, 2014-05-01 Hundreds of millions of people use social technologies like Wikipedia, Facebook and YouTube every day, but what makes them work? And what is the next step? The Social Design of Technical Systems explores the path from computing revolution to social evolution. Based on the assumption that it is essential to consider social as well as technological requirements, as we move to create the systems of the future, this book explores the ways in which technology fits, or fails to fit, into the social reality of the modern world. Important performance criteria for social systems, such as fairness, synergy, transparency, order and freedom, are clearly explained for the first time from within a comprehensive systems framework, making this book invaluable for anyone interested in socio-technical systems, especially those planning to build social software. This book reveals the social dilemmas that destroy communities, exposes the myth that computers are smart, analyses social errors like the credit meltdown, proposes online rights standards and suggests community-based business models. If you believe that our future depends on merging social virtue and technology power, you should read this book. |
| computer science major memes: Consciousness Explained Daniel C. Dennett, 2018-02-06 Daniel Dennett's brilliant exploration of human consciousness — named one of the ten best books of the year by the New York Times — is a masterpiece beloved by both scientific experts and general readers (New York Times Book Review). Consciousness Explained is a full-scale exploration of human consciousness. In this landmark book, Daniel Dennett refutes the traditional, commonsense theory of consciousness and presents a new model, based on a wealth of information from the fields of neuroscience, psychology, and artificial intelligence. Our current theories about conscious life — of people, animal, even robots — are transformed by the new perspectives found in this book. Dennett is a witty and gifted scientific raconteur, and the book is full of fascinating information about humans, animals, and machines. The result is highly digestible and a useful tour of the field. —Wall Street Journal |
| computer science major memes: Code Charles Petzold, 2022-08-02 The classic guide to how computers work, updated with new chapters and interactive graphics For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think. - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. |
| computer science major memes: Optimizing Compilers for Modern Architectures: A Dependence-Based Approach Randy Allen, Ken Kennedy, 2001-10 Modern computer architectures designed with high-performance microprocessors offer tremendous potential gains in performance over previous designs. Yet their very complexity makes it increasingly difficult to produce efficient code and to realize their full potential. This landmark text from two leaders in the field focuses on the pivotal role that compilers can play in addressing this critical issue. The basis for all the methods presented in this book is data dependence, a fundamental compiler analysis tool for optimizing programs on high-performance microprocessors and parallel architectures. It enables compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of these modern architectures. The text provides a broad introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems such as parallelization, compiler memory hierarchy management, and instruction scheduling. The authors demonstrate the importance and wide applicability of dependence-based compiler optimizations and give the compiler writer the basics needed to understand and implement them. They also offer cookbook explanations for transforming applications by hand to computational scientists and engineers who are driven to obtain the best possible performance of their complex applications. The approaches presented are based on research conducted over the past two decades, emphasizing the strategies implemented in research prototypes at Rice University and in several associated commercial systems. Randy Allen and Ken Kennedy have provided an indispensable resource for researchers, practicing professionals, and graduate students engaged in designing and optimizing compilers for modern computer architectures. * Offers a guide to the simple, practical algorithms and approaches that are most effective in real-world, high-performance microprocessor and parallel systems. * Demonstrates each transformation in worked examples. * Examines how two case study compilers implement the theories and practices described in each chapter. * Presents the most complete treatment of memory hierarchy issues of any compiler text. * Illustrates ordering relationships with dependence graphs throughout the book. * Applies the techniques to a variety of languages, including Fortran 77, C, hardware definition languages, Fortran 90, and High Performance Fortran. * Provides extensive references to the most sophisticated algorithms known in research. |
| computer science major memes: Learn C the Hard Way Zed A. Shaw, 2015-08-10 You Will Learn C! Zed Shaw has crafted the perfect course for the beginning C programmer eager to advance their skills in any language. Follow it and you will learn the many skills early and junior programmers need to succeed–just like the hundreds of thousands of programmers Zed has taught to date! You bring discipline, commitment, persistence, and experience with any programming language; the author supplies everything else. In Learn C the Hard Way, you’ll learn C by working through 52 brilliantly crafted exercises. Watch Zed Shaw’s teaching video and read the exercise. Type his code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn what good, modern C programs look like; how to think more effectively about code; and how to find and fix mistakes far more efficiently. Most importantly, you’ll master rigorous defensive programming techniques, so you can use any language to create software that protects itself from malicious activity and defects. Through practical projects you’ll apply what you learn to build confidence in your new skills. Shaw teaches the key skills you need to start writing excellent C software, including Setting up a C environment Basic syntax and idioms Compilation, make files, and linkers Operators, variables, and data types Program control Arrays and strings Functions, pointers, and structs Memory allocation I/O and files Libraries Data structures, including linked lists, sort, and search Stacks and queues Debugging, defensive coding, and automated testing Fixing stack overflows, illegal memory access, and more Breaking and hacking your own C code It’ll Be Hard at First. But Soon, You’ll Just Get It–And That Will Feel Great! This tutorial will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful programming languages. You’ll be a C programmer. |
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 perform …
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 desktops, …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
