Search results for [Data structures (Computer science)] at NC Cardinal

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Selected papers in the applied computer sciences, 1988 / by Wiltshire, Denise A.(CARDINAL)269219;

Includes bibliographical references following each chapter.

Subjects: Remote sensing;

Available copies: 1 / Total copies: 1

On-line resources: Suggest title for digitization;

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Bit by bit : a graphic introduction to computer science / by King, Ecy Femi,author.; Stanford University.(CARDINAL)141303;

CS106A. The fundamentals -- The control flow family and friends -- A coordinated bunch: floats, pixels, and grids -- Strings, lists, and loose ends -- Drawing with code: but a canvas to our imaginations -- More on iterables: Dictionaries; tuples, lambda, and some helpful functions -- CS106B. I can C++ now: examining C++isms and basics -- Learning our ADTs: examining some C++ containers -- Big-o, recursion, and backtracking -- Making memories: . . . with pointers, heaps, call stacks, and structs -- Getting classy: exploring classes in C++ -- Let's link up: linked data structures."Originally designed as an educational supplement for the renowned Stanford courses Computer Science 106A and 106B, Bit by Bit is a comic-style resource that uses fractal grids, custom-drawn characters, and fun graphics as a visually immersive introduction to the key concepts of beginner coding, learning pedagogy, education, and visual thinking. Bit by Bit takes readers on a journey that encompasses the full scope of both courses; beginning with the chief elements and fundamentals of programming such as functions, variables, and integers; carrying readers through the basics of Python and C++ into the conceptual world of efficiency and recursion; and walking them through collections of linked data structures. Throughout each section, course and Stanford alum Ecy Femi King is there to guide, cajole, and assist, simultaneously providing useful tips to encourage maximum knowledge absorption and engaging commentary for readers at every level. In short, this book is more than just a cohesive "study buddy" for introductory Stanford courses. Rather, it delivers a far-reaching guide of both pedagogical interest and practical use to students, educators, and researchers worldwide."--Provided by publisher.

Subjects: Instructional and educational works.; Illustrated works.; Upside-down books.; Computer science;

Available copies: 0 / Total copies: 1

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Functional programming in C# / by Buonanno, Enrico,author.;

Summary Functional Programming in C# teaches you to apply functional thinking to real-world problems using the C# language. The book, with its many practical examples, is written for proficient C# programmers with no prior FP experience. It will give you an awesome new perspective. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Functional programming changes the way you think about code. For C# developers, FP techniques can greatly improve state management, concurrency, event handling, and long-term code maintenance. And C# offers the flexibility that allows you to benefit fully from the application of functional techniques. This book gives you the awesome power of a new perspective. About the Book -- Functional Programming in C# teaches you to apply functional thinking to real-world problems using the C# language. You'll start by learning the principles of functional programming and the language features that allow you to program functionally. As you explore the many practical examples, you'll learn the power of function composition, data flow programming, immutable data structures, and monadic composition with LINQ. What's Inside -- Write readable, team-friendly code Master async and data streams-- Radically improve error handling -- Event sourcing and other FP patterns. About the Reader -- Written for proficient C# programmers with no prior FP experience. About the Author -- Enrico Buonanno studied computer science at Columbia University and has 15 years of experience as a developer, architect, and trainer.

Subjects: C# (Computer program language); Computer programming.; Functional programming (Computer science);

Available copies: 1 / Total copies: 1

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Models for ecological data : an introduction / by Clark, James Samuel,1957-(CARDINAL)325808;

Includes bibliographical references (pages 585-614) and index.Introduction: Models in context ; Model elements -- Elements of inference: Point estimation : maximum likelihood and the method of moments ; Elements of the Bayesian approach ; Confidence envelopes and prediction intervals ; Model assessment and selection -- Larger models: Computational Bayes : introduction to tools simulation ; A closer look at hierarchical structures -- More advance methods: Time ; Space-time ; Some concluding perspectives -- Appendixes.

Subjects: Ecology; Environmental sciences;

Available copies: 1 / Total copies: 1

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Principles of robotics & artificial intelligence / by Renneboog, Richard,editor.(CARDINAL)891845;

Includes bibliographical references (pages 429-467) and index.Extreme Value Theorem -- F -- Facial Recognition Technology in Surveillance -- Fuzzy Logic -- G -- Game Theory -- Geoinformatics -- Go -- Grammatology -- Graphene -- Graphics Technologies -- H -- Holographic Technology -- Human-Computer Interaction (HCI) -- Hypertext Markup Language (HTML) -- I -- Integral -- Internet of Things (IoT) -- Interoperability -- K -- Kinematics -- L -- Language Model for Dialogue Applications (LaMDA) -- Limit of a Function -- Linear Programming -- Linux -- Local Area Network (LAN) -- M -- Machine Code -- Machine Learning -- Machine Translation -- Magnetic Storage -- Mechatronics -- Microcomputer -- Microprocessor -- Motion (Physics) -- Multitasking -- N -- Nanotechnology -- Network Interface Controller (NIC) -- Network Topology -- Neural Engineering -- Nouvelle Artificial Intelligence -- Numerical Analysis -- O -- Object-Oriented Programming (OOP) -- Optical Storage -- P -- Parallel Computing -- Pattern Recognition -- Photogrammetry -- Pneumatics -- Probability and Statistics -- Programming Languages for Artificial Intelligence -- Proportionality -- Public-Key Cryptography -- Python -- Q -- Quantum Computing -- R -- R -- Replication -- Robotic Arms -- Robotic Process Automation (RPA) -- Robotics -- Robotics and Robotic Systems -- Ruby -- S -- Scale Model -- Scratch -- Self-Management -- Semantic Web -- Sequence -- Series -- Set Notation -- Siri -- Smart City -- Smart Homes -- Smart Label -- Smartphone -- Soft Robotics -- Solar Cell -- Space Drone -- Space Robotics -- Speech Recognition -- Stem-and-Leaf Plots -- Structured Query Language (SQL) -- Stuxnet -- Supercomputer -- T Tablet Computer -- Turing Test -- U -- UNIX -- V -- Video Game Design and Programming -- Virtual Reality -- Z -- Z3 -- Zombie -- Bibliography -- Glossary -- Organizations -- Index.Table of Contents -- Publisher's Note -- Introduction -- Contributors -- A -- Abstraction -- Advanced Encryption Standard (AES) -- Agile Robotics -- Algorithmic Bias -- Algorithms -- Analysis of Variance (ANOVA) -- Application Programming Interface (API) -- Artificial Consciousness -- Artificial Intelligence (AI) -- Artificial Intelligence and Terrorism -- Artificial Intelligence Cold War -- Artificial Intelligence in Cognitive Psychology -- Artificial Intelligence in Education -- Artificial Intelligence and Robotics in Cinema -- Artificial Intelligence and Robotics in Gaming -- Artificial Intelligence and Robotics in Literature -- Augmented Reality (AR) -- Automated Processes and Servomechanisms -- Automatons, Mechanical Creatures, and Artificial Intelligence in Mythology -- Autonomous Car -- Avatars and Simulation -- B -- Behavioral Neuroscience -- Binary Pattern -- Biomechanical Engineering -- Biomechanics -- Biomimetics -- Bionics and Biomedical Engineering -- C -- C -- C++ -- Charles Babbage's Difference and Analytical Engines -- Chatbot -- ChatGPT (software) -- Client-Server Architecture -- CNC Milling -- Cognitive Science -- Combinatorics -- Computed Tomography -- Computer Engineering -- Computer Languages, Compilers, and Tools -- Computer Memory -- Computer Networks -- Computer Simulation -- Computer Software -- Computer Viruses and Worms -- Computer-Aided Design and Manufacturing (CAD/CAM) -- Computing Devices in History -- Continuous Random Variable -- Cryptography and Encryption -- Cybernetics -- Cybersecurity -- Cyberspace -- D -- The Dark Side of Artificial Intelligence -- Data Analytics (DA) -- Deep Learning -- Deep Reinforcement Learning (deep RL) -- Deepfake -- Digital Fraud -- Digital Logic -- DNA Computing -- Domain-Specific Language (DSL) -- E -- Evaluating Expressions -- Existential Risk from Artificial General Intelligence -- Expert System."This volume provides readers with the important information they need to understand the basic concepts of artificial intelligence as well as ways that both AI and robotics can be successfully incorporated into manufacturing, transportation, education, and medicine. This new edition has been updated and expanded to include the latest developments in artificial intelligence, including ChatGPT and other chatbots, machine learning, and open-source AI. The text also discusses the role AI and robotics play in popular culture and modern society, recent calls to regulate the artificial intelligence industry and how the industry is expected to evolve in the future. More than 120 easy-to-understand entries, many with illustrations and photographs, cover: Augmented Reality; Machine Learning; Knowledge Acquisition; Pattern Recognition; Self-Management; Virtual Reality. These entries cover many important aspects of AI and robotics, including basic principles of robotic motion and engineering, neural engineering and human-computer interaction, programming languages and operating systems, and the mathematics that govern computation. The role of robotics and AI in war, fraud, and terrorism is also examined, as well as how these fields are portrayed in popular culture, which ultimately reflects how we perceive the line between human and machine. Entries begin by specifying related Fields of Study, followed by an Abstract and then a list of Key Concepts summarizing important points; all entries end with a helpful Further Reading section." -From publisher.

Subjects: Reference works.; Robotics.; Artificial intelligence.;

Available copies: 3 / Total copies: 3

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Young person's occupational outlook handbook. by United States.Department of Labor.(CARDINAL)139707;

Subjects: Job descriptions.; Occupations.; Vocational guidance.;

Available copies: 2 / Total copies: 2

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The complete handbook of science fair projects / by Bochinski, Julianne Blair,1966-; Bochinski-DiBiase, Judy J.,illustrator.;

Discusses various aspects of science fair projects including advice on choosing a topic, doing research, developing experiments, organizing data results, and presenting a project to the judges.

Subjects: Handbooks and manuals.; Science projects; Science projects; Handbooks, vade-mecums, etc.; Science projects;

Available copies: 5 / Total copies: 5

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This idea must die : scientific theories that are blocking progress / by Brockman, John,1941-editor.(CARDINAL)282534;

Includes bibliographical references (pages 545-547) and index.The theory of everything / Geoffrey West -- Unification / Marcelo Gleiser -- Simplicity / A.C. Grayling -- The universe / Seth Lloyd -- IQ / Scott Atran -- Brain plasticity / Leo M. Chalupa -- Changing the brain / Howard Gardner -- "The rocket scientist" / Victoria Wyatt -- Indivi-duality / Nigel Goldenfeld -- The bigger an animal's brain, the greater its intelligence / Nicholas Humphrey -- The big bang was the first moment of time / Lee Smolin -- The universe began in a state of extraordinarily low entropy / Alan Guth -- Entropy / Bruce Parker -- The uniformity and uniqueness of the universe / Andrei Linde -- Infinity / Max Tegmark -- The laws of physics are predetermined / Lawrence M. Krauss -- Theories of anything / Paul Steinhardt -- M-theory/string theory is the only game in town / Eric R. Weinstein -- String theory / Frank Tipler -- Our world has only three space dimensions / Gordon Kane -- The "naturalness" argument / Peter Woit -- The collapse of the wave function / Freeman Dyson -- Quantum jumps / David Deutsch -- Cause and effect / W. Daniel Hillis -- Race / Nina Jablonski -- Essentialism / Richard Dawkins -- Human nature/ Peter Richerson -- The Urvogel / Julia Clarke -- Numbering nature / Kurt Gray -- Hardwired=permanent / Michael Shermer -- The atheism prerequisite / Douglas Rushkoff -- Evolution is "true" / Roger Highfield -- There is no reality in the quantum world / Anton Zeilinger -- Spacetime / Steve Giddings -- The universe / Amanda Gefter -- The Higgs particle closes a chapter in particle physics / Haim Harari -- Aesthetic motivation / Sarah Demers -- Naturalness, hierarchy, and spacetime / Maria Spiropulu -- Scientists ought to know everthing scientifically knowable / Ed Regis -- Falsifiability / Sean Carroll -- Anti-anecdotalism / Nicholas G. Carr -- Science makes philosophy obsolete / Rebecca Newberger Goldstein -- "Science" / Ian Bogost -- Our narrow definition of "science" / Sam Harris -- The hard problem / Daniel C. Dennett -- The neural correlates of consciousness / Susan Blackmore -- Long-term memory is immutable / Todd C. Sacktor -- The self / Bruce Hood -- Cognitive agency / Thomas Metzinger -- Free will / Jerry Coyne -- Common sense / Robert Provine -- There can be no science of art / Jonathan Gottschall -- Science and technology / George Dyson -- Things are either true or false / Alan Alda -- Simple answers / Gavin Schmidt -- We'll never hit barriers to scientific understanding / Martin Rees -- Life evolves via a shared genetic toolkit / Seirian Sumner -- Fully random mutations / Kevin Kelly -- One genome per individual / Eric J. Topol -- Nature versus nurture / Timo Hannay -- The particularist use of "a" gene-environment interaction / Robert Sapolsky -- Natrual selection is the only engine of evolution / Athena Vouloumanos -- Behavior = genes + environment / Steven Pinker -- Innateness / Alison Gopnik -- Moral blank-slateism / Kiley Hamlin -- Associationism / Oliver Scott Curry -- Radical behaviorism / Simon Baron-Cohen -- "Instinct" and "innate" / Daniel L. Everett -- Altruism / Tor Nørretranders -- The altruism hierarchy / Jamil Zaki -- Humans are by nature social animals / Adam Waytz -- Evidence-based medicine / Gary Klein --Beauty is in the eyes of the beholder / David M. Buss -- Romantic love and addiction / Helen Fisher -- Emotion is peripheral / Brian Knutson -- Science can maximize our happiness / Paul Bloom -- Culture / Pascal Boyer -- Culture / Laura Betzig -- Learning and culture / John Tooby -- "Our" intutitions / Stephen Stich -- We're stone age thinkers / Alun Anderson -- Inclusive fitness / Martin Nowak -- Human evolutionary exceptionalism / Michael McCullough -- Animal mindlessness / Kate Jeffery -- Humaniqueness / Irene Pepperberg -- Human being = homo sapiens / Steve Fuller -- Anthropocentricity / Satyajit Das -- Truer perceptions are fitter perceptions / Donald D. Hoffman -- The intrinsic beauty and elegance of mathematics allows it to describe nature / Gregory Benford -- Geometry / Carlo Rovelli -- Calculus / Andrew Lih -- Computer science / Neil Gershenfeld -- Science advances by funerals / Samuel Barondes -- Planck's cynical view of scientific change / Hugo Mercier -- New ideas triumph by replacing old ones / Jared Diamond -- Max Planck's faith / Mihaly Csikszentmihalyi -- The illusion of certainty / Mary Catherine Bateson -- The pursuit of parsimony / Jonathan Haidt -- The clinician's law of parsimony / Gerald Smallberg -- Essentialist views of the mind / Lisa Barrett -- The distinction between antisociality and mental illness / Abigail Marsh -- Repression / David G. Myers -- Mental illness is nothing but brain illness / Joel Gold and Ian Gold -- Psychogenic illness / Beatrice Golomb -- Crime entails only the actions of criminals / Eduardo Salcedo-Albarán -- Statistical significance / Charles Seife -- Scientific inference via statistical rituals / Gerd Gigerenzer -- The power of statistics / Emanuel Derman -- Reproducibility / Victoria Stodden -- The average / Nicholas A. Christakis -- Standard deviation / Nassim Nicholas Taleb -- Statistical independence / Bart Kosko -- Certainty. Absolute truth. Exactitude / Richard Saul Wurman -- The illusion of scientific progress / Paul Saffo.Large randomized controlled trials / Dean Ornish -- Multiple regression as a means of discovering causality / Richard Nisbett -- Mouse models / Azra Raza -- The somatic mutation theory of cancer / Paul Davies -- The linear no-threshold (LNT) radiation dose hypotheses / Stewart Brand -- Universal grammar / Benjamin K. Bergen -- A science of language should deal only with "competence" / N.J. Enfield -- Languages condition worldviews / John McWhorter -- The standard approach to meaning / Dan Sperber -- The uncertainty principle / Kai Krause -- Beware of arrogance! Retire nothing! / Ian McEwan -- Big data / Gary Marcus -- The stratigraphic column / Christine Finn -- The habitable-zone concept / Dimitar D. Sasselov -- Robot companions / Sherry Turkle -- "Artificial intelliggence" / Roger Schank --The mind is just the brain / Tania Lombrozo -- Mind versus matter / Frank Wilczek -- Intelligence as a property / Alexander Wissner-Gross -- The grand analogy / David Gelernter -- Grandmother cells / Terrence J. Sejnowski -- Brain modules / Patricia S. Churchland -- Bias is always bad / Tom Griffiths -- Cartesian hydraulicism / Robert Kurzban -- The computational metaphor / Rodney A. Brooks -- Left-brain/right-brain / Sarah-Jayne Blakemore -- Left-brain/right-brain / Stephen M. Kosslyn -- Moore's Law / Andrian Kreye -- The continuity of time / Ernst Pöppel -- The input-output model of perception and action / Andy Clark -- Knowing is half the battle / Laurie R. Santos and Tamar Gendler -- Informaiton overload / Jay Rosen -- The rational individual / Alex (Sandy) Pentland -- Homo economicus / Margaret Levi -- Don't discard wrong theories, just don't treat them as true / Richard H. Thaler -- Rational actor models : the competence corollary / Susan Fiske -- Malthusianism / Matt Ridley -- Economic growth / Cesar Hidalgo -- Unlimited and eternal growth / Hans Ulrich Obrist -- The tragedy of the commons / Luca De Biase -- Markets are bad, markets are good / Michael I. Norton -- Stationarity / Giulio Boccaletti -- Stationarity / Laurence C. Smith -- The carbon footprint / Daniel Goleman -- Unbridled scientific and technological optimism / Stuart Pimm -- Scientists should stick to science / Buddhini Samarasinghe -- Nature = objects / Scott Sampson -- Scientific morality / Edward Slingerland -- Science is self-correcting / Alex Holcombe -- Replication as a safety net / Adam Alter -- Scientific knowledge structured as "literature" / Brian Christian -- The way we produce and advance science / Cathryn Clancy -- Allocating funds via peer review / Aubrey De Grey -- Some questions are too hard for young scientists to tackle / Ross Anderson -- Only scientists can do science / Kate Mills -- The scientific method / Melanie Swan -- Big effects have big explanations / Fiery Cushman -- Science = big science / Samuel Arbesman -- Sadness is always bad, happiness is always good / June Gruber -- Opposites can't both be right / Eldar Shafir -- People are sheep / David Berreby --The bestselling editor of This Explains Everything brings together 175 of the world's most brilliant minds to tackle Edge.org's 2014 question: What scientific idea has become a relic blocking human progress? Each year, John Brockman, publisher of Edge.org--"The world's smartest website" (The Guardian)--challenges some of the world's greatest scientists, artists, and philosophers to answer a provocative question crucial to our time. In 2014 he asked 175 brilliant minds to ponder: What scientific idea needs to be put aside in order to make room for new ideas to advance? The answers are as surprising as they are illuminating.

Subjects: Trivia and miscellanea.; Science in popular culture.; Science;

Available copies: 5 / Total copies: 5

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The new century handbook / by Hult, Christine A.(CARDINAL)747467; Huckin, Thomas N.(CARDINAL)726235;

System requirements for interactive CD-ROM: Windows95, Windows98, or WindowsNT with Service Pack 3 or later, 486 or Pentium processor-based personal computer, 16 MB or RAM (24 MB recommended), Sound Blaster or compatible sound card and speakers, CD-ROM drive (4x speed or faster), Adobe aAcrobat Reader 4.0, Netscape Communicator 4.01 or higher, or Internet Explorer 4.01 or higher, high-speed modem or other fast internet connection.

Subjects: Handbooks and manuals.; English language; Report writing; English language;

Available copies: 1 / Total copies: 1

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AI needs you : how we can change AI's future and save our own / by Harding, Verity,1984-author.(CARDINAL)888726;

Includes bibliographical references and index.Shadow self -- Peace and war : space exploration and the UN outer space treaty -- Science and scrutiny : IVF and the Warnock Commission -- Purpose and profit : the Internet before 9/11 -- Conclusion: Lessons from history."This brief and accessible book draws lessons from the history and governance of three recent transformative technologies - the space race, in-vitro fertilization (IVF), and the internet - to argue that society can and should take an active role in shaping the future of artificial intelligence (AI). It is a manifesto aimed at empowering the reader to participate in the conversations and political and democratic processes that will determine the intentions of AI, what values and regulations should guide its development, and its future. Artificial intelligence affects most of us every day, from determining what news we read and music we listen to, to influencing credit scores and legal decisions. As computers become smarter, and the amount of data available to train sophisticated algorithms grows, these unprecedented abilities are coming to play an ever more central role in how our society functions. Yet, as important as this new technology is and will be, it is little understood outside of an unaccountable, insular, and hard-to-scrutinize tech community. Creators of AI-driven systems often operate quickly, at large scale, and without any clear sense of societal purpose or understanding of the diversity and complexity of the human condition. As these systems become increasingly powerful, figuring out what, and who, this technology is for is critical, if we want to ensure that advances in AI will advance us as a species, inspire us as a people, and support the delicate fabric of society. What values framework permeates this new technology, which will permeate our lives? What values are needed - to guide us into a future of which we can all be proud? By looking back, Harding shows that science and technology are clearly not neutral, but inherently political, dictated by the human values and preferences of their time. Recognizing this gives us cause for hope; democratic and political judgement can and must be applied to today's scientific breakthroughs, to ensure that the values we all hold dear - not just the values of a few - will guide us into the new frontier. In four thematically structured chapters, in which Harding connects her historical examples to current considerations about AI, the author argues that AI should be peaceful in its intent, embrace limitations, serve purpose not profit, and be rooted in societal trust. History tells us that we can imbue AI with a deep intentionality that aligns with our best and brightest ideals, interests, and values and that serves the public good - but, to make this happen, the public must take part in this conversation"--

Subjects: Technological innovations; Technology and civilization.; Technology and state.; Artificial intelligence;

Available copies: 3 / Total copies: 4

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