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We have moved one step ahead in the arena of student and job-oriented books with the CCL, by enhancing our proven pedagogy to bring together the collective knowledge and wisdom of the world of computers. Books published under this series are specifically designed to engage readers, improve computer skills, and prepare themselves for future success. This comprehensive series with step-by-step instructions and relevant screenshots throughout the text enables readers to have a better understanding of computers. Written in simple and lucid language, without technical jargons, each book of this series is accompanied by an interactive CD/DVD with video tutorials. The book is designed to provide you with everything you need for your formal introduction to the world of computers. It's the one book that covers everything that a reader needs to know about computers - Hardware and software of a computer; setting up a new computer; using Microsoft Office and other popular software connecting to the Internet; working with digital media; burning custom CD/DVD; watching movies; managing money online; setting up home networks; keeping PCs running reliably; protecting your PC from spam, viruses, and spyware; cleaning your PC properly, etc. This comprehensive guide uses easy-to-follow steps and screenshots, and clear, concise language to show the simplest ways to get things done with your PC.
A comprehensive and up-to-date investigation of what research shows about the educational value of computer games for learning. Many strong claims are made for the educational value of computer games, but there is a need for systematic examination of the research evidence that might support such claims. This book fills that need by providing, a comprehensive and up-to-date investigation of what research shows about learning with computer games. Computer Games for Learning describes three genres of game research: the value-added approach, which compares the learning outcomes of students who learn with a base version of a game to those of students who learn with the base version plus an additional feature; the cognitive consequences approach, which compares learning outcomes of students who play an off-the-shelf computer game for extended periods to those of students who do not; and the media comparative approach, which compares the learning outcomes of students who learn material by playing a game to those of students who learn the same material using conventional media. After introductory chapters that describe the rationale and goals of learning game research as well as the relevance of cognitive science to learning with games, the book offers examples of research in all three genres conducted by the author and his colleagues at the University of California, Santa Barbara; meta-analyses of published research; and suggestions for future research in the field. The book is essential reading for researchers and students of educational games, instructional designers, learning-game developers, and anyone who wants to know what the research has to say about the educational effectiveness of computer games.
The book is designed to provide you with dictionaries of terms in chemistry to make science simpler for you. The terms have been arranged alphabetically for quick reference. Suitable explanations of terms that have come into public domain recently also find mention. The standard of explanation has been kept at a level of understanding expected from an average secondary and senior secondary student. Illustrations and examples, at appropriate places, have been given. Readers who have not made a special study of any science subject will have also be able to grasp the definitions. A glossary of Nobel Prize winners and their contributions is an added attraction. #v&spublishers
The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Drawing together the most up-to-date research from experts all across the world, the second edition of Computer Science Education offers the most up-to-date coverage available on this developing subject, ideal for building confidence of new pre-service and in-service educators teaching a new discipline. It provides an international overview of key concepts, pedagogical approaches and assessment practices. Highlights of the second edition include: - New sections on machine learning and data-driven (epistemic) programming - A new focus on equity and inclusion in computer science education - Chapters updated throughout, including a revised chapter on relating ethical and societal aspects to knowledge-rich aspects of computer science education - A new set of chapters on the learning of programming, including design, pedagogy and misconceptions - A chapter on the way we use language in the computer science classroom. The book is structured to support the reader with chapter outlines, synopses and key points. Explanations of key concepts, real-life examples and reflective points keep the theory grounded in classroom practice. The book is accompanied by a companion website, including online summaries for each chapter, 3-minute video summaries by each author and an archived chapter on taxonomies and competencies from the first edition.
Introduction to Computers is an effort made with an interactive and hands on approach to communicate the essential aspects of computers. The book targets children of all ages. Interesting fun characters make the learning a fun process for readers.Features of the Book:Assessment Exercises: Each unit of the book contains interesting lesson-end assessment exercise to assess and examine your understanding and grasp over the subject.Computer Trivia: This part of the book gives an interesting outlook of the vast computer worldand some factual knowledge regarding computers.Did you know: This portion provides information related to historical aspects of computerworld. Developmental features of computers are also highlighted.Hands on Activity: Learning is made a fun process through incorporating hands on activitybetween lessons.Let's dwell: At the lesson end this section deals with more inquisitive information related to theworld of computers and gives you scope of further though process.More to Learn: This additional feature is an add-on knowledge regarding the text being taught.Special Feature: It's an extension to the topic dealt with the lesson.What is Means? Some special terms in the text are defined systematically for betterunderstanding.Introduction to Computers will help children to make computers a handy companion in all real-lif #v&spublishers
Designed for learning professionals and drawing on both game creators and instructional designers, Learning by Doing explains how to select, research, build, sell, deploy, and measure the right type of educational simulation for the right situation. It covers simple approaches that use basic or no technology through projects on the scale of computer games and flight simulators. The book role models content as well, written accessibly with humor, precision, interactivity, and lots of pictures. Many will also find it a useful tool to improve communication between themselves and their customers, employees, sponsors, and colleagues. As John Coné, former chief learning officer of Dell Computers, suggests, “Anyone who wants to lead or even succeed in our profession would do well to read this book.”
The classic guide to how computers work, updated with new chapters and interactive graphics "For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think." - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution.
Give your students a classic introduction to computer concepts with a modern twist with Morley/Parker's UNDERSTANDING COMPUTERS: TODAY AND TOMORROW, COMPREHENSIVE, 16E. Known for a unique emphasis on societal issues and industry insights from respected leaders, this book makes computer concepts relevant to today's career-focused students. This edition offers an increased emphasis on mobile computing and related issues, such as mobile commerce and mobile security. Students become familiar with the impact of new and emerging technologies, including smart watches, drones, 3D scanners and printers, robot assistants, perceptual computing, 5G, White Fi and much more.