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During the late eighteenth and early nineteenth centuries, the American economy moved toward a manufacturing base and mass production, creating a demand for a literacy that encompassed not only the traditional alphabetic form of expression but also scientific and mathematical notation and spatial and graphic representation. How did the world of learning respond to this demand? What kinds of educational institutions, teachers, textbooks, and patterns of instruction emerged? Edward Stevens, Jr., describes the important technological changes that took place in antebellum America and the challenges they posed for education. Investigating the instruction, curricula, and textbooks used in the common schools, in the mechanics' institutes, and, specifically, at the Troy Female Seminary and the Rensselaer School in upstate New York, he demonstrates how advocates of technical literacy attempted to teach new skills. Stevens shows that the tensions between the liberal and the vocational, between a culture of print and a nonverbal culture of experience, persisted in technical education through the first half of the nineteenth century but were resolved temporarily by a common moral vision.
Student storybook that teaches capitalization skills.
A haunting story of guilt and blame in the wake of a drowning, the first novel by the author of Spectacle Susan Steinberg’s first novel, Machine, is a dazzling and innovative leap forward for a writer whose most recent book, Spectacle, gained her a rapturous following. Machine revolves around a group of teenagers—both locals and wealthy out-of-towners—during a single summer at the shore. Steinberg captures the pressures and demands of this world in a voice that effortlessly slides from collective to singular, as one girl recounts a night on which another girl drowned. Hoping to assuage her guilt and evade a similar fate, she pieces together the details of this tragedy, as well as the breakdown of her own family, and learns that no one, not even she, is blameless. A daring stylist, Steinberg contrasts semicolon-studded sentences with short lines that race down the page. This restless approach gains focus and power through a sharply drawn narrative that ferociously interrogates gender, class, privilege, and the disintegration of identity in the shadow of trauma. Machine is the kind of novel—relentless and bold—that only Susan Steinberg could have written.
The book provides new findings about the grammar of genres and styles. It combines new methods with different kinds of empirical material, from social reports to live TV sports commentaries or 16th century newspapers, in English, French, Latin and Spanish. The study of non-discrete units suggests new ways of seeing the linguistic variation between genres and styles and the ways in which belonging to a genre predetermines linguistic choices.
A brilliant probe into the political and psychological effects of our changing relationship with social media Former social media executives tell us that the system is an addiction-machine. We are users, waiting for our next hit as we like, comment and share. We write to the machine as individuals, but it responds by aggregating our fantasies, desires and frailties into data, and returning them to us as a commodity experience. The Twittering Machine is an unflinching view into the calamities of digital life: the circus of online trolling, flourishing alt-right subcultures, pervasive corporate surveillance, and the virtual data mines of Facebook and Google where we spend considerable portions of our free time. In this polemical tour de force, Richard Seymour shows how the digital world is changing the ways we speak, write, and think. Through journalism, psychoanalytic reflection and insights from users, developers, security experts and others, Seymour probes the human side of the machine, asking what we’re getting out of it, and what we’re getting into. Social media held out the promise that we could make our own history–to what extent did we choose the nightmare that it has become?
A well-written and accessible introduction to the most important features of formal languages and automata theory. It focuses on the key concepts, illustrating potentially intimidating material through diagrams and pictorial representations, and this edition includes new and expanded coverage of topics such as: reduction and simplification of material on Turing machines; complexity and O notation; propositional logic and first order predicate logic. Aimed primarily at computer scientists rather than mathematicians, algorithms and proofs are presented informally through examples, and there are numerous exercises (many with solutions) and an extensive glossary.
Beginning Java 8 Fundamentals provides a comprehensive approach to learning the Java programming language, especially the object-oriented fundamentals necessary at all levels of Java development. Author Kishori Sharan provides over 90 diagrams and 240 complete programs to help beginners and intermediate level programmers learn the topics faster. Starting with basic programming concepts, the author walks you through writing your first Java program step-by-step. Armed with that practical experience, you'll be ready to learn the core of the Java language. The book continues with a series of foundation topics, including using data types, working with operators, and writing statements in Java. These basics lead onto the heart of the Java language: object-oriented programming. By learning topics such as classes, objects, interfaces, and inheritance you'll have a good understanding of Java's object-oriented model. The final collection of topics takes what you've learned and turns you into a real Java programmer. You'll see how to take the power of object-oriented programming and write programs that can handle errors and exceptions, process strings and dates, format data, and work with arrays to manipulate data.
"Principles of Compilers: A New Approach to Compilers Including the Algebraic Method" introduces the ideas of the compilation from the natural intelligence of human beings by comparing similarities and differences between the compilations of natural languages and programming languages. The notation is created to list the source language, target languages, and compiler language, vividly illustrating the multilevel procedure of the compilation in the process. The book thoroughly explains the LL(1) and LR(1) parsing methods to help readers to understand the how and why. It not only covers established methods used in the development of compilers, but also introduces an increasingly important alternative — the algebraic formal method. This book is intended for undergraduates, graduates and researchers in computer science. Professor Yunlin Su is Head of the Research Center of Information Technology, Universitas Ma Chung, Indonesia and Department of Computer Science, Jinan University, Guangzhou, China. Dr. Song Y. Yan is a Professor of Computer Science and Mathematics at the Institute for Research in Applicable Computing, University of Bedfordshire, UK and Visiting Professor at the Massachusetts Institute of Technology and Harvard University, USA.
This book describes a new area of physics: the metatheory of physics theories. It develops a mathematical description of the nature of physics theories which it applies to the Theory of Everything or the Final Theory. It also develops quantum Turing machine and Quantum Computer formulations of the Standard Model of Elementary Particles and SuperString Theories.