KEY MESSAGE:Students and instructors alike continue to praise the broad coverage and clear exposition thatComputer Science: An Overviewuses to present a complete picture of the dynamic computer science field. Accessible to students from all backgrounds, Glenn Brookshear uses a language-independent context to encourage the development of a practical, realistic understanding of the field. Introduction; Data Storage; Operating Systems; Networking and the Internet; Algorithms; Programming Languages; Software Engineering; Data Abstractions; Database Systems; Artificial Intelligence; Theory of Computation. For all readers interested in the basics of computer science.
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 Machinersquo;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