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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

Introduction0.1 The Role of Algorithms0.2 The Origins of Computing Machines0.3 The Science of Algorithms0.4 Abstraction0.5 An Outline of Our Study0.6 Social Repercussions Chapter 1 Data Storage1.1 Bits and Their Storage1.2 Main Memory1.3 Mass Storage1.4 Representing Information as Bit Patterns1.5 The Binary System1.6 Storing Integers1.7 Storing Fractions1.8 Data Compression1.9 Communication Errors Chapter 2 Data Manipulation2.1 Computer Architecture2.2 Machine Language2.3 Program Execution2.4 Arithmetic/Logic Instructions2.5 Communicating with Other Devices2.6 Other Architectures Chapter 3 Operating Systems3.1 The History of Operating Systems3.2 Operating System Architecture3.3 Coordinating the Machine's Activities3.4 Handling Competition Among Processes3.5 Security Chapter 4 Networking and the Internet4.1 Network Fundamentals4.2 The Internet4.3 The World Wide Web4.4 Internet Protocols4.5 Security Chapter 5 Algorithms5.1 The Concept of an Algorithm5.2 Algorithm Representation5.3 Algorithm Discovery5.4 Iterative Structures5.5 Recursive Structures5.6 Efficiency and Correctness Chapter 6 Programming Languages6.1 Historical Perspective6.2 Traditional Programming Concepts6.3 Procedural Units6.4 Language Implementation6.5 Object-Oriented Programming6.6 Programming Concurrent Activities6.7 Declarative Programming Chapter 7 Software Engineering7.1 The Software Engineering Discipline7.2 The Software Life Cycle7.3 Software Engineering Methodologies7.4 Modularity7.5 Tools of the Trade7.6 Testing7.7 Documentation7.8 Software Ownership and Liability Chapter 8 Data Abstractions8.1 Data Structure Fundamentals8.2 Implementing Data Structures8.3 A Short Case Study8.4 Customized Data Types8.5 Classes and Objects8.6 Pointers in Machine Language Chapter 9 Database Systems9.1 Database Fundamentals9.2 The Relational Model9.3 Object-Oriented Databases9.4 Maintaining Database Integrity9.5 Traditional File Structures 9.6 Data Mining9.7 Social Impact of Database Technology Chapter 10 Artificial Intelligence10.1 Intelligence and Machines10.2 Perception10.3 Reasoning10.4 Additional Areas of Research10.5 Artificial Neural Networks10.6 Robotics10.7 Considering the Consequences Chapter 11 Theory of Computation11.1 Functions and Their Computation11.2 Turing Machines11.3 Universal Programming Languages11.4 A Noncomputable Function11.5 Complexity of Problems11.6 Public-Key Cryptography AppendixesA ASCIIB Circuits to Manipulate Two's Complement RepresentationsC A Simple Machine LanguageD High-Level Language Program ExamplesE The Equivalence of Iterative and Recursive StructuresF Answers to Questions & Exercises Index

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