Presents an illustrated A-Z encyclopedia containing approximately 600 entries on computer and technology related topics.

A unique resource exploring the nature of computers and computing, and their relationships to the world. Philosophy of Computer Science is a university-level textbook designed to guide readers through an array of topics at the intersection of philosophy and computer science. Accessible to students from either discipline, or complete beginners to both, the text brings readers up to speed on a conversation about these issues, so that they can read the literature for themselves, form their own reasoned opinions, and become part of the conversation by contributing their own views. Written by a highly qualified author in the field, the book looks at some of the central questions in the philosophy of computer science, including: What is philosophy? (for readers who might be unfamiliar with it) What is computer science and its relationship to science and to engineering? What are computers, computing, algorithms, and programs?(Includes a line-by-line reading of portions of Turing’s classic 1936 paper that introduced Turing Machines, as well as discussion of the Church-Turing Computability Thesis and hypercomputation challenges to it) How do computers and computation relate to the physical world? What is artificial intelligence, and should we build AIs? Should we trust decisions made by computers? A companion website contains annotated suggestions for further reading and an instructor’s manual. Philosophy of Computer Science is a must-have for philosophy students, computer scientists, and general readers who want to think philosophically about computer science.

Computer Science is the basic need of every organization to find out where it stands. it is a very important subject of students and every person involved in it has prescribed set of tasks. A major goal of this book “Concepts of Computer Science” is not just to explain fundamental theories and concept of computer science discipline, but to help students apply those theories and concepts to their IT lives and work lives. This book is a modest attempt to give exposure of concepts of computer science. This book has been written for the students of Class 1 to Graduation. All the new features included and extensive revision done, we feverishly hope that the book would appeal to the students , the teachers and all the interested reader. All the suggestions and feedbacks are welcomed to further improve the quality of the content to achieve the objective of presenting this book.

This textbook, presented in a clear and friendly writing style, provides students of Class XI with a thorough introduction to the discipline of computer science. It offers accurate and balanced coverage of all the computer science topics as prescribed in the CBSE syllabus Code 083. Assuming no previous knowledge of computer science, this book discusses key computing concepts to provide invaluable insight into how computers work. It prepares students for the world of computing by giving them a solid foundation in programming concepts, operating systems, problem solving methodology, C++ programming language, data representation, and computer hardware. KEY FEATURES • Explains theory in user friendly and easy-to-approach style • Teaches C++ from scratch; knowledge of C is not needed • Provides Programming Examples • Gives Practical Exercise • Provides Answers to Short Questions • Gives Practice Questions at the end of each chapter • Suitable for Self-Study

Content Description #Dedicated to Wilfried Brauer.#Includes bibliographical references and index.

By the end of the 1960s, a new discipline named computer science had come into being. A new scientific paradigm--the 'computational paradigm'--was in place, suggesting that computer science had reached a certain level of maturity. Yet as a science it was still precociously young. New forces, some technological, some socio-economic, some cognitive impinged upon it, the outcome of which was that new kinds of computational problems arose over the next two decades. Indeed, by the beginning of the 1990's the structure of the computational paradigm looked markedly different in many important respects from how it was at the end of the 1960s. Author Subrata Dasgupta named the two decades from 1970 to 1990 as the second age of computer science to distinguish it from the preceding genesis of the science and the age of the Internet/World Wide Web that followed. This book describes the evolution of computer science in this second age in the form of seven overlapping, intermingling, parallel histories that unfold concurrently in the course of the two decades. Certain themes characteristic of this second age thread through this narrative: the desire for a genuine science of computing; the realization that computing is as much a human experience as it is a technological one; the search for a unified theory of intelligence spanning machines and mind; the desire to liberate the computational mind from the shackles of sequentiality; and, most ambitiously, a quest to subvert the very core of the computational paradigm itself. We see how the computer scientists of the second age address these desires and challenges, in what manner they succeed or fail and how, along the way, the shape of computational paradigm was altered. And to complete this history, the author asks and seeks to answer the question of how computer science shows evidence of progress over the course of its second age.

We are living in the era of digital transformation. Computers are rapidly becoming the most important tool for companies, science, society, and indeed our everyday life. We all need a basic understanding of Computer Science to make sense of the world, to make decisions, and to improve our lives. Yet there are many misunderstandings about Computer Science. The reason is that it is a nascent discipline that has evolved rapidly and had to reinvent itself several times over the last 100 years – from the beginnings of scientific computing to the modern era of smartphones and the cloud. This book gives an intuitive introduction to the foundations and main concepts of Computer Science. It describes the basic ideas of solving problems with algorithms, modern data-driven approaches, and artificial intelligence (AI). It also provides many examples that require no background in technology. This book is directed toward teenagers who may wonder whether they should major in Computer Science, though it will also appeal to anyone who wants to immerse themselves in the art of Computer Science and modern information technology. Of course, not everyone must become a computer expert, but everyone should take advantage of and understand the innovations and advances of modern technology.

A Computer Science Reader covers the entire field of computing, from its technological status through its social, economic and political significance. The book's clearly written selections represent the best of what has been published in the first three-and-a-half years of ABACUS, Springer-Verlag's internatioanl quarterly journal for computing professionals. Among the articles included are: - U.S. versus IBM: An Exercise in Futility? by Robert P. Bigelow - Programmers: The Amateur vs. the Professional by Henry Ledgard - The Composer and the Computer by Lejaren Hiller - SDI: A Violation of Professional Responsibility by David L. Parnas - Who Invented the First Electronic Digital Computer? by Nancy Stern - Foretelling the Future by Adaptive Modeling by Ian H. Witten and John G. Cleary - The Fifth Generation: Banzai or Pie-in-the-Sky? by Eric A. Weiss This volume contains more than 30 contributions by outstanding and authoritative authors grouped into the magazine's regular categories: Editorials, Articles, Departments, Reports from Correspondents, and Features. A Computer Science Reader will be interesting and important to any computing professional or student who wants to know about the status, trends, and controversies in computer science today.

This textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking. This book introduces computer science from a computational thinking perspective. In computer science the way of thinking is characterized by three external and eight internal features, including automatic execution, bit-accuracy and abstraction. The book is divided into chapters on logic thinking, algorithmic thinking, systems thinking, and network thinking. It also covers societal impact and responsible computing material – from ICT industry to digital economy, from the wonder of exponentiation to wonder of cyberspace, and from code of conduct to best practices for independent work. The book’s structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.