Computer Science: An Overview, Global Edition, 13th edition

Published by Pearson (March 3, 2026) © 2027

  • J Glenn Brookshear Marquette University
  • Dennis Brylow Marquette University
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£44.99
Instant access

Access details

  • Instant access once purchased
  • Fulfilled by VitalSource
  • For titles accompanied by MyLab/Mastering, this eBook does NOT include access to the platform

Features

  • Add notes and highlights
  • Search by keyword or page

Title overview

A comprehensive introduction to Computer Science Courses, now in a practical, digital eBook format.

For introduction to Computer Science courses, written for students of computer science as well as students from other disciplines.

Computer Science: An Overview offers a broad coverage and clear exposition of the discipline accessible to students from all backgrounds, encouraging a practical and realistic understanding of the subject.

With a new full-colour design, each chapter in the 13th Edition has seen revisions, updates, and corrections from the previous editions. The text also continues to use Python to provide programming tools for exploration and experimentation and includes more than 1,000 questions and exercises, Chapter Review Problems, and Social Issues questions reinforce core concepts.

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Table of contents

* Asterisks indicate suggestions for optional sections.

  1. Introduction
  • 0.1 The Role of Algorithms
  • 0.2 The History of Computing
  • 0.3 An Outline of Our Study
  • 0.4 The Overarching Themes of Computer Science
  1. Data Storage
  • 1.1 Bits and Their Storage
  • 1.2 Main Memory
  • 1.3 Mass Storage
  • 1.4 Representing Information as Bit Patterns
  • *1.5 The Binary System
  • *1.6 Storing Integers
  • *1.7 Storing Fractions
  • *1.8 Data and Programming
  • *1.9 Data Compression
  • *1.10 Communication Errors
  1. Data Manipulation
  • 2.1 Computer Architecture
  • 2.2 Machine Language
  • 2.3 Program Execution
  • *2.4 Arithmetic/Logic Instructions
  • *2.5 Communicating with Other Devices
  • *2.6 Programming Data Manipulation
  • *2.7 Other Architectures
  1. Operating Systems
  • 3.1 The History of Operating Systems
  • 3.2 Operating System Architecture
  • 3.3 Coordinating the Machine's Activities
  • *3.4 Handling Competition Among Processes
  • 3.5 Security
  1. Networking and the Internet
  • 4.1 Network Fundamentals
  • 4.2 The Internet
  • 4.3 The World Wide Web
  • *4.4 Internet Protocols
  • *4.5 Simple Client Server
  • 4.6 Cybersecurity
  1. Algorithms
  • 5.1 The Concept of an Algorithm
  • 5.2 Algorithm Representation
  • 5.3 Algorithm Discovery
  • 5.4 Iterative Structures
  • 5.5 Recursive Structures
  • 5.6 Efficiency and Correctness
  1. Programming Languages
  • 6.1 Historical Perspective
  • 6.2 Traditional Programming Concepts
  • 6.3 Procedural Units
  • 6.4 Language Implementation
  • 6.5 Object-Oriented Programming
  • *6.6 Programming Concurrent Activities
  • *6.7 Declarative Programming
  1. Software Engineering
  • 7.1 The Software Engineering Discipline
  • 7.2 The Software Life Cycle
  • 7.3 Software Engineering Methodologies
  • 7.4 Modularity
  • 7.5 Tools of the Trade
  • 7.6 Quality Assurance
  • 7.7 Documentation
  • 7.8 The Human-Machine Interface
  • 7.9 Software Ownership and Liability
  1. Data Abstractions
  • 8.1 Basic Data Structures
  • 8.2 Related Concepts
  • 8.3 Implementing Data Structures
  • 8.4 A Short Case Study
  • 8.5 Customized Data Types
  • 8.6 Classes and Objects
  • *8.7 Pointers in Machine Language
  1. Database Systems
  • 9.1 Database Fundamentals
  • 9.2 The Relational Model
  • *9.3 Object-Oriented Databases
  • *9.4 Maintaining Database Integrity
  • *9.5 Traditional File Structures
  • 9.6 Data Mining
  • 9.7 Social Impact of Database Technology
  1. Computer Graphics
  • 10.1 The Scope of Computer Graphics
  • 10.2 Overview of 3D Graphics
  • 10.3 Modeling
  • 10.4 Rendering
  • *10.5 Dealing with Global Lighting
  • 10.6 Animation
  1. Artificial Intelligence
  • 11.1 Intelligence and Machines
  • 11.2 Perception
  • 11.3 Reasoning
  • 11.4 Additional Areas of Research
  • 11.5 Artificial Neural Networks
  • 11.6 Robotics
  • 11.7 Considering the Consequences
  1. Theory of Computation
  • 12.1 Functions and Their Computation
  • 12.2 Turing Machines
  • 12.3 Universal Programming Languages
  • 12.4 A Noncomputable Function
  • 12.5 Complexity of Problems
  • *12.6 Public-Key Cryptography
  • Appendixes:
    • A. ASCII
    • B. Circuits to Manipulate Two's Complement Representations
    • C. Vole: A Simple Machine Language
    • D. High-Level Programming Languages
    • E. The Equivalence of Iterative and Recursive Structures
    • F. Answers to Questions & Exercises

    Index

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