Do You Compute
Do You Compute

Author: Ryan Mungia

Publisher:

Published: 2019

Total Pages: 0

ISBN-13: 9780991619825

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Before Alexa and the iPhone, there was the large and unwieldy mainframe computer. In the postwar 1950s, computers were mostly used for aerospace and accounting purposes. To the public at large, they were on a rung that existed somewhere between engineering and science fiction. Magazine ads and marketing brochures were designed to create a fantasy surrounding these machines for prospective clients: Higher profit margins! Creativity unleashed! Total automation! With the invention of the microchip in the 1970s came the PC and video games, which shifted the target of computer advertising from corporations to the individual. By the end of the millennium, the notion of selling tech burst wide open to include robots, cell phones, blogs, online dating services, and much, much more. Do You Compute? is a broad survey featuring the very best of computer advertising in the 20th century. From the Atomic Age to the Y2K bug, this volume presents a connoisseur's selection of graphic gems culled from museums, university archives, and private collections to illustrate the evolution of the computer from its early days as a hulking piece of machinery to its current state as a handheld device. Accompanied by two essays--one by cultural anthropologist Ryan Mungia and the other by graphic design historian Steven Heller--and including five different decade-long timelines that highlight some of the most influential moments in computer history, this fun yet meaningful volume is a unique look at the computer and how it has shaped our world.

Compute-IT: Student's Book 1 - Computing for KS3
Compute-IT: Student's Book 1 - Computing for KS3

Author: George Rouse

Publisher: Hodder Education

Published: 2014-07-04

Total Pages: 254

ISBN-13: 1471801942

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Compute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can: Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3 Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of Study Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the first title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.

Google Compute Engine
Google Compute Engine

Author: Marc Cohen

Publisher: "O'Reilly Media, Inc."

Published: 2014-12-15

Total Pages: 262

ISBN-13: 1449361498

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Learn how to run large-scale, data-intensive workloads with Compute Engine, Google’s cloud platform. Written by Google engineers, this tutorial walks you through the details of this Infrastructure as a Service by showing you how to develop a project with it from beginning to end. You’ll learn best practices for using Compute Engine, with a focus on solving practical problems. With programming examples written in Python and JavaScript, you’ll also learn how to use Compute Engine with Docker containers and other platforms, frameworks, tools, and services. Discover how this IaaS helps you gain unparalleled performance and scalability with Google’s advanced storage and computing technologies. Access and manage Compute Engine resources with a web UI, command-line interface, or RESTful interface Configure, customize, and work with Linux VM instances Explore storage options: persistent disk, Cloud Storage, Cloud SQL (MySQL in the cloud), or Cloud Datastore NoSQL service Use multiple private networks, and multiple instances on each network Build, deploy, and test a simple but comprehensive cloud computing application step-by-step Use Compute Engine with Docker, Node.js, ZeroMQ, Web Starter Kit, AngularJS, WebSocket, and D3.js

Understanding Computation
Understanding Computation

Author: Tom Stuart

Publisher: "O'Reilly Media, Inc."

Published: 2013-05-15

Total Pages: 389

ISBN-13: 144933010X

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Finally, you can learn computation theory and programming language design in an engaging, practical way. Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming. Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science. Understand fundamental computing concepts, such as Turing completeness in languages Discover how programs use dynamic semantics to communicate ideas to machines Explore what a computer can do when reduced to its bare essentials Learn how universal Turing machines led to today’s general-purpose computers Perform complex calculations, using simple languages and cellular automata Determine which programming language features are essential for computation Examine how halting and self-referencing make some computing problems unsolvable Analyze programs by using abstract interpretation and type systems

Mathematics and Computation
Mathematics and Computation

Author: Avi Wigderson

Publisher: Princeton University Press

Published: 2019-10-29

Total Pages: 434

ISBN-13: 0691189137

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From the winner of the Turing Award and the Abel Prize, an introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography

What Can Be Computed?
What Can Be Computed?

Author: John MacCormick

Publisher: Princeton University Press

Published: 2018-05-01

Total Pages: 404

ISBN-13: 0691170665

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An accessible and rigorous textbook for introducing undergraduates to computer science theory What Can Be Computed? is a uniquely accessible yet rigorous introduction to the most profound ideas at the heart of computer science. Crafted specifically for undergraduates who are studying the subject for the first time, and requiring minimal prerequisites, the book focuses on the essential fundamentals of computer science theory and features a practical approach that uses real computer programs (Python and Java) and encourages active experimentation. It is also ideal for self-study and reference. The book covers the standard topics in the theory of computation, including Turing machines and finite automata, universal computation, nondeterminism, Turing and Karp reductions, undecidability, time-complexity classes such as P and NP, and NP-completeness, including the Cook-Levin Theorem. But the book also provides a broader view of computer science and its historical development, with discussions of Turing's original 1936 computing machines, the connections between undecidability and Gödel's incompleteness theorem, and Karp's famous set of twenty-one NP-complete problems. Throughout, the book recasts traditional computer science concepts by considering how computer programs are used to solve real problems. Standard theorems are stated and proven with full mathematical rigor, but motivation and understanding are enhanced by considering concrete implementations. The book's examples and other content allow readers to view demonstrations of—and to experiment with—a wide selection of the topics it covers. The result is an ideal text for an introduction to the theory of computation. An accessible and rigorous introduction to the essential fundamentals of computer science theory, written specifically for undergraduates taking introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with forthcoming Java alternatives online) to enhance motivation and understanding Gives equal emphasis to computability and complexity Includes special topics that demonstrate the profound nature of key ideas in the theory of computation Lecture slides and Python programs are available at whatcanbecomputed.com

Numerical Methods: Think before You Compute
Numerical Methods: Think before You Compute

Author: E. J. Hinch

Publisher: Cambridge University Press

Published: 2020-04-30

Total Pages: 243

ISBN-13: 1108479545

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This guide to computational fluid mechanics introduces beginning graduate students to the subject's standard methods and common pitfalls.

Algorithms and Computation
Algorithms and Computation

Author: Toshihide Ibaraki

Publisher: Springer Science & Business Media

Published: 2003-12-03

Total Pages: 764

ISBN-13: 3540206957

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This book constitutes the refereed proceedings of the 14th International Symposium on Algorithms and Computation, ISAAC 2003, held in Kyoto, Japan, in December 2003. The 73 revised full papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on computational geometry, graph and combinatorial algorithms, computational complexity, quantum computing, combinatorial optimization, scheduling, computational biology, distributed and parallel algorithms, data structures, combinatorial and network optimization, computational complexity and cryptography, game theory and randomized algorithms, and algebraic and arithmetic computation.

Algorithms and Computation
Algorithms and Computation

Author: Prosenjit K. Bose

Publisher: Springer

Published: 2003-08-02

Total Pages: 668

ISBN-13: 3540361367

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Annotation. This book constitutes the refereed proceedings of the 13th Annual International Symposium on Algorithms and Computation, ISAAC 2002, held in Vancouver, BC, Canada in November 2002. The 54 revised full papers presented together with 3 invited contributions were carefully reviewed and selected from close to 160 submissions. The papers cover all relevant topics in algorithmics and computation, in particular computational geometry, algorithms and data structures, approximation algorithms, randomized algorithms, graph drawing and graph algorithms, combinatorial optimization, computational biology, computational finance, cryptography, and parallel and distributedd algorithms.