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Ksiazki - Informatyczne .pl » informatyka » informatyka Computer Science | Wydawnictwo: addison wesley publishing company Autor: G. Brookshear Liczba stron: 624 Oprawa: miękka ISBN: 978-0-321-43445-6
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Czas dostawy: 4 - 6 tygodni (na zamówienie) Cena detaliczna: 323,99 zł Nasza cena: 324,00 zł
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Opis Computer Science:
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.
- A language-independent introduction to computer science that uses C#, C++, and Java as example languages. C++ and Java-based lab manuals are available for those who want to focus on a particular language.
- More than 1,000 Questions and Exercises,
Chapter Review Problems and Social Issues questions give students the opportunity to apply the concepts just learned.
- Discussion of ethical and legal aspects of areas such as Internet security, software engineering, and database technology.
- Flexible organization and presentationallows topics to be covered in any order.
- A robust Companion Web site includes practical exploration of computer science topics from the text, software simulators and lab manuals that teach the fundamentals of either C++ or Java.
Spis treści 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 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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