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Computer Science

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For over a decade, students and instructors alike have praised the broad coverage and clear exposition in the leading text Computer Science: An Overview. Glenn Brookshear draws on years of success in the classroom in this practical, language-independent approach to the introduction of core computing science topics. This Ninth Edition provides a balanced, realistic picture of the dynamic nature of computer science by presenting the historical background and the most up-to-date research and trends. It engages students with timely topics like bioinformatics and artificial intelligence, and provides coverage of foundational hardware topics like data representation/storage, machine architecture, and machine language.
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Table of Contents

Introduction 0.1 The Role of Algorithms 0.2 The Origins of Computing Machines 0.3 The Science of Algorithms 0.4 Abstraction 0.5 An Outline of Our Study 0.6 Social Repercussions Chapter 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 Compression 1.9 Communication Errors Chapter 2 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 Other Architectures Chapter 3 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 Chapter 4 Networking and the Internet 4.1 Network Fundamentals 4.2 The Internet 4.3 The World Wide Web 4.4 Internet Protocols 4.5 Security Chapter 5 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 Chapter 6 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 Chapter 7 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 Testing 7.7 Documentation 7.8 Software Ownership and Liability Chapter 8 Data Abstractions 8.1 Data Structure Fundamentals 8.2 Implementing Data Structures 8.3 A Short Case Study 8.4 Customized Data Types 8.5 Classes and Objects 8.6 Pointers in Machine Language Chapter 9 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 Chapter 10 Artificial Intelligence 10.1 Intelligence and Machines 10.2 Perception 10.3 Reasoning 10.4 Additional Areas of Research 10.5 Artificial Neural Networks 10.6 Robotics 10.7 Considering the Consequences Chapter 11 Theory of Computation 11.1 Functions and Their Computation 11.2 Turing Machines 11.3 Universal Programming Languages 11.4 A Noncomputable Function 11.5 Complexity of Problems 11.6 Public-Key Cryptography Appendixes A ASCII B Circuits to Manipulate Two's Complement Representations C A Simple Machine Language D High-Level Language Program Examples E The Equivalence of Iterative and Recursive Structures F Answers to Questions & Exercises Index

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