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Computer Science: An Overview / Edition 11
     

Computer Science: An Overview / Edition 11

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by J. Glenn Brookshear
 

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ISBN-10: 0132569035

ISBN-13: 2900132569032

Pub. Date: 02/04/2011

Publisher: Pearson

New Highlights Includes a larger emphasis on the object-oriented paradigm and networking, including coverage of the World Wide Web and the Java Programming Language. Offers end-of-chapter "Questions of Ethics" in addition to discussions of ethics throughout the book. Contains new sections on digital circuitry, the client/server model, data compression, and digital

Overview

New Highlights Includes a larger emphasis on the object-oriented paradigm and networking, including coverage of the World Wide Web and the Java Programming Language. Offers end-of-chapter "Questions of Ethics" in addition to discussions of ethics throughout the book. Contains new sections on digital circuitry, the client/server model, data compression, and digital representation of graphics. Provides a complete teaching package, including a new C++ lab manual, C and Pascal lab manuals, and a World Wide Web site.

Product Details

ISBN-13:
2900132569032
Publisher:
Pearson
Publication date:
02/04/2011
Edition description:
NE
Pages:
624

Table of Contents

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.
Data Compression.
Communication Errors.

Data Manipulation.
The Central Processing Unit.
The Stored-Program Concept.
Program Execution.
Other Architectures.
Arithmetic/Logic Instructions.
Communicating with Other Devices.

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.
Pointers in Machine Language.

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.

ASCII.
Circuits to Manipulate Two's Complement Representations.
A Simple Machine Language.
Program Examples.
The Equivalence of Iterative and Recursive Structures.
Answers to Questions/Exercises.

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Computer Science: An Overview (2-downloads) 5 out of 5 based on 0 ratings. 1 reviews.
Anonymous More than 1 year ago