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Computer Science: An Overview, 13th edition

  • Glenn Brookshear
  • , Dennis Brylow

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Computer Science surveys the breadth of computer science, with the depth needed to explore concepts. The text is written for students of computer science as well as students from other disciplines. Its broad coverage and clear exposition are accessible to students from all backgrounds, encouraging a practical and realistic understanding of the subject.

Individual chapters are independent and can be covered in an order that suits instructor course needs with selected content marked as optional for the introductory course. With a new full-color 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. More than 1,000 questions and exercises, Chapter Review Problems and Social Issues questions reinforce core concepts. The text's companion website extends resources to enhance the course.

Published by Pearson (July 14th 2021) - Copyright © 2019

ISBN-13: 9780137503216

Subject: Introduction to Computer Science

Category:

*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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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

Appendices

  • 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