Computer Science
An Overview
6th Edition
Published on 31. August 1999
Book
Paperback/Softback
609 pages
978-0-201-35747-9 (ISBN)
Description
Computer Science: An Overview lives up to its title, providing the broad coverage and clear explanations of the entire computer science discipline that have made it the leading textbook for the breadth-first/CS0 course. This language-independent book introduces students to the discipline of computer science by providing accurate and balanced coverage of a variety of computer science topics, including programming languages, operating systems, algorithms, software engineering, and machine architecture. The sixth edition has been thoroughly updated to discuss increasingly important trends such as networking, object-oriented programming, and software engineering. It features new sections on public key encryption, evolutionary programming, and genetic algorithms, as well as thoroughly revised sections on data manipulation, operating systems, and networking. It features material on the move towards object-oriented software engineering with new sections covering Design Patterns and UML. Thought-provoking discussions of ethical and legal issues revolving around computing are integrated into each chapter so they are presented in the context of the material being covered at that time. J. Glenn Brookshear is a master of making even the most complex topics accessible to students through the use of real-life analogies and concrete examples.
More details
Edition
6th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 232 mm
Width: 185 mm
Thickness: 22 mm
Weight
895 gr
ISBN-13
978-0-201-35747-9 (9780201357479)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
08/2002
7th Edition
Pearson
€55.70
Article exhausted; check for reprint
Previous edition
Book
01/1991
3rd Edition
Benjamin Cummings
€55.84
Article exhausted; check for reprint
Person
J. Glenn Brookshear is an Associate Professor at Marquette University. He received his Ph.D. from New Mexico State University in 1975, then was hired by Marquette to build a strong Computer Science curriculum. In addition to his highly successful Computer Science: An Overview, Brookshear has authored Theory of Computation: Formal Languages, Automata, and Complexity, also published by Addison-Wesley.
020135747XAB04062001
020135747XAB04062001
Content
Introduction.
The Study of Algorithms.
The Development of Algorithmic Machines.
The Evolution of Computer Science.
The Role of Abstraction.
Ethical/Social/Legal Issues.
I. MACHINE ARCHITECTURE.
Data Storage.
Storage of Bits.
Main Memory.
Mass Storage.
Coding Information for Storage.
The Binary System.
Storing Integers.
Storing Fractions.
Storing Pictures.
Communication Errors.
Data Manipulation.
The Central Processing Unit.
The Stored-Program Concept.
Program Execution.
Other Architectures.
Arithmetic/Logic Instructions.
Computer/Peripheral Communication.
II. SOFTWARE.
Operating Systems And Networks.
The Evolution of Operating Systems.
Operating System Architecture.
Coordinating the Machine's Activities.
Handling Competition Among Processes.
Networks.
Network Protocols.
Algorithms.
The Concept of an Algorithm.
Algorithm Representation.
Algorithm Discovery.
Iterative Structures.
Recursive Structures.
Efficiency and Correctness.
Programming Languages.
Historical Perspective.
Traditional Programming Concepts.
Program Units.
Language Implementation.
Object-Oriented Programming.
Parallel Computing.
Declarative Programming.
Software Engineering.
The Software Engineering Discipline.
The Software Life Cycle.
Modularity.
Design Patterns.
Development Tools and Techniques.
Documentation.
Software Ownership and Liability.
III. DATA ORGANIZATION.
Data Structures.
Arrays.
Lists.
Stacks.
Queues.
Trees.
Customized Data Types.
Evolution toward Objects.
File Structures.
Sequential Files.
Text Files.
Indexed Files.
Hashed Files.
The Role of the Operating System.
Database Structures.
General Issues.
The Layered Approach to Database Implementation.
The Relational Model.
Object-Oriented Databases.
Maintaining Database Integrity.
Social Impact of Database Technology.
IV. THE POTENTIAL OF ALGORITHMIC MACHINES.
Artificial Intelligence.
Intelligence and Machines.
Understanding Images.
Reasoning.
Control System Activities.
Using Heuristics.
Artificial Neural Networks.
Genetic Algorithms.
Applications of Artificial Intelligence.
Considering the Consequences.
Theory Of Computation.
A Bare Bones Programming Language.
Turing Machines.
Computable Functions.
A Noncomputable Function.
Complexity of Problems.
Public Key Cryptography.
Appendices.
A. ASCII.
B. Circuits to Manipulate Two's Complement Representations.
C. A Simple Machine Language.
D. Program Examples.
E. The Equivalence of Iterative and Recursive Structures.
F. Answers to Questions/Exercises. 020135747XT04062001
The Study of Algorithms.
The Development of Algorithmic Machines.
The Evolution of Computer Science.
The Role of Abstraction.
Ethical/Social/Legal Issues.
I. MACHINE ARCHITECTURE.
Data Storage.
Storage of Bits.
Main Memory.
Mass Storage.
Coding Information for Storage.
The Binary System.
Storing Integers.
Storing Fractions.
Storing Pictures.
Communication Errors.
Data Manipulation.
The Central Processing Unit.
The Stored-Program Concept.
Program Execution.
Other Architectures.
Arithmetic/Logic Instructions.
Computer/Peripheral Communication.
II. SOFTWARE.
Operating Systems And Networks.
The Evolution of Operating Systems.
Operating System Architecture.
Coordinating the Machine's Activities.
Handling Competition Among Processes.
Networks.
Network Protocols.
Algorithms.
The Concept of an Algorithm.
Algorithm Representation.
Algorithm Discovery.
Iterative Structures.
Recursive Structures.
Efficiency and Correctness.
Programming Languages.
Historical Perspective.
Traditional Programming Concepts.
Program Units.
Language Implementation.
Object-Oriented Programming.
Parallel Computing.
Declarative Programming.
Software Engineering.
The Software Engineering Discipline.
The Software Life Cycle.
Modularity.
Design Patterns.
Development Tools and Techniques.
Documentation.
Software Ownership and Liability.
III. DATA ORGANIZATION.
Data Structures.
Arrays.
Lists.
Stacks.
Queues.
Trees.
Customized Data Types.
Evolution toward Objects.
File Structures.
Sequential Files.
Text Files.
Indexed Files.
Hashed Files.
The Role of the Operating System.
Database Structures.
General Issues.
The Layered Approach to Database Implementation.
The Relational Model.
Object-Oriented Databases.
Maintaining Database Integrity.
Social Impact of Database Technology.
IV. THE POTENTIAL OF ALGORITHMIC MACHINES.
Artificial Intelligence.
Intelligence and Machines.
Understanding Images.
Reasoning.
Control System Activities.
Using Heuristics.
Artificial Neural Networks.
Genetic Algorithms.
Applications of Artificial Intelligence.
Considering the Consequences.
Theory Of Computation.
A Bare Bones Programming Language.
Turing Machines.
Computable Functions.
A Noncomputable Function.
Complexity of Problems.
Public Key Cryptography.
Appendices.
A. ASCII.
B. Circuits to Manipulate Two's Complement Representations.
C. A Simple Machine Language.
D. Program Examples.
E. The Equivalence of Iterative and Recursive Structures.
F. Answers to Questions/Exercises. 020135747XT04062001