Logo

A Balanced Introduction to Computer Science

Large book cover: A Balanced Introduction to Computer Science

A Balanced Introduction to Computer Science
by

Publisher: Prentice Hall
ISBN/ASIN: 013046709X
ISBN-13: 9780130467096
Number of pages: 400

Description:
The book covers concepts and issues in computing that are most relevant to the beginning student, including computer terminology, the Internet and World Wide Web, the history of computing, the organization and manufacture of computer technology, and technology's impact on society. Mixed among these breadth topics are chapters that introduce fundamental programming concepts and skills in a hands-on, tutorial format.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Building Blocks for Theoretical Computer ScienceBuilding Blocks for Theoretical Computer Science
by - University of Illinois, Urbana-Champaign
This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.
(7187 views)
Book cover: Computer Science Concepts in ScratchComputer Science Concepts in Scratch
by - Weizmann Institute of Science
This book will familiarize you with the Scratch visual programming environment, focusing on using Scratch to learn computer science. Each concept is introduced in order to solve a specific task such as animating dancing images or building a game.
(2659 views)
Book cover: Rough set data analysis: A road to non-invasive knowledge discoveryRough set data analysis: A road to non-invasive knowledge discovery
by - Methodos Publishers (UK)
In this book the authors present an overview of the work they have done on the foundations and details of data analysis, the first attempt to do this in a non-invasive way. It is a look at data analysis from many different angles.
(11068 views)
Book cover: Computational and Inferential Thinking: The Foundations of Data ScienceComputational and Inferential Thinking: The Foundations of Data Science
by - GitBook
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning ...
(3326 views)