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An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED.
A hands-on introduction to computer science concepts for non-technical readers. Activities include word searches, mazes, "Find the Bug!" hunts, matching games, "Color by Boolean" (a twist on the classic Paint by Numbers), and more. The Computer Science Activity Book is the perfect companion for curious youngsters and grown-ups -- especially those who think they'll never understand how computers work. As readers work their way through this collection of fun and innovative hands-on exercises, they'll learn the core programming concepts and computer terminology that form the foundation of a STEM education. Readers learn about historical figures like Charles Babbage, Ada Lovelace, Grace Hopper, and Alan Turing; how computers store data and run programs; and how the parts of a computer work together (like the hard drive, RAM, and CPU) through activities that teach foundational programming concepts like drawing a garden of flowers using for loops and creating creatures with conditional statements.
Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones.
This Third Edition, in response to the enthusiastic reception given by academia and students to the previous edition, offers a cohesive presentation of all aspects of theoretical computer science, namely automata, formal languages, computability, and complexity. Besides, it includes coverage of mathematical preliminaries. NEW TO THIS EDITION • Expanded sections on pigeonhole principle and the principle of induction (both in Chapter 2) • A rigorous proof of Kleene’s theorem (Chapter 5) • Major changes in the chapter on Turing machines (TMs) – A new section on high-level description of TMs – Techniques for the construction of TMs – Multitape TM and nondeterministic TM • A new chapter (Chapter 10) on decidability and recursively enumerable languages • A new chapter (Chapter 12) on complexity theory and NP-complete problems • A section on quantum computation in Chapter 12. • KEY FEATURES • Objective-type questions in each chapter—with answers provided at the end of the book. • Eighty-three additional solved examples—added as Supplementary Examples in each chapter. • Detailed solutions at the end of the book to chapter-end exercises. The book is designed to meet the needs of the undergraduate and postgraduate students of computer science and engineering as well as those of the students offering courses in computer applications.
Introduction to Computing is a comprehensive text designed for the CS0 (Intro to CS) course at the college level. It may also be used as a primary text for the Advanced Placement Computer Science course at the high school level.
This book constitutes the refereed proceedings of the 6th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2013, held in Oldenburg, Germany, in February/March 2013. The 15 full papers included in this volume were carefully reviewed and selected from 48 submissions; in addition the book contains two keynote talks in full-paper length. The contributions are organized in topical sections named: from computer usage to computational thinking; algorithmic and computational thinking; games; informatics in the context of other disciplines; and competence-based learning and retention of competencies.