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出版时间:2016-09

出版社:人民邮电出版社

以下为《计算机科学导论(英中双语版)》的配套数字资源,这些资源在您购买图书后将免费附送给您:
  • 人民邮电出版社
  • 9787115435507
  • 1-3
  • 69618
  • 46212622-8
  • 平装
  • 16开
  • 2016-09
  • 455
  • 268
  • 工学
  • 计算机科学与技术
  • TP3
  • 计算机科学
  • 本科
作者简介
华南理工大学英籍教授(教育部引进,千人计划评审专家,留英长达16年),博导,获伦敦大学(UCL)计算机模拟与仿真博士学位,发表论文110多篇,近90多篇发表在国外英文期刊上,主持过欧共体,国家“863”,省部级等重点科研项目
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内容简介
  邓辉舫、邹才凤编著的《计算机科学导论》用英汉双语写成,系统而又概要地介绍了计算机学科的定义、范畴、特点以及发展与变化的规律等。本课程的目的不是让学生学习大量具体的专业知识,而是针对所有对计算机感兴趣的学生进行入门性导引。全书由16章组成,分为6大部分:绪论,数据表示与操作,计算机硬件,计算机软件,数据组织与抽象以及高级与前沿专题(例如,物联网、云计算、大数据等),涵盖了计算机科学各个领域(包括最新领域)的最新进展、所有经典与丰富的前沿主题,以及跨学科、跨行业的应用。可以拓展读者的知识视野,能够帮助他们较全面地了解计算机科学的学科特点与发展现状,为今后深入学习计算机科学的各门专业课程打下基础。本书每一章末尾都包含本章小结,附有参考读物及一定量的练习,以帮助学生巩固己学的知识和课后进行深入的探讨。
  本书既适合国内高等院校各专业用作计算机基础课教材,也可以供希望了解计算机相关领域知识的非专业读者作为入门参考。
目录
Unit 1 Introduction
 l.l What Is Computer Science?
 1.2 Von Neumann Model
 1.3 Computer Components
 1.4 History and Development Trends
 1.5 Frontiers of Computer Technology
 1.6 Major Fields of Computer Science
 1.7 References and Recommended Readings
 1.8 Summary
 1.9 Practice Set
Unit 2 Number Systems and
 Conversions
 2.1 Introduction
 2.2 Positional Number Systems
 2.3 Non-Positional Number Systems
 2.4 References and Recommended
 Readings
 2.5 Summary
 2.6 Practice Set
Unit 3 Data Storage and
 Compression
 3.] Bit Pattern
 3.2 Integer in Computer
 3.3 Floating-Point in Computer
 3.4 Data Storage
 3.5 Cloud Storage and Big Data Storage
 3.6 References and Recommended Readings
 3.7 Summary
 3.8 Practice Set
Unit 4 Data Operations
 4.1 Logical Operations
 4.2 Arithmetic Operations
 4.3 Shift Operations
 4.4 References and Recommended Readings
 4.5 Summary
 4.6 Practice Set
Unit 5 Computer Components
 5.1 Three Main Components
 5.2 Components Interconnection
 5.3 Machine Cycle
 5.4 Computer Architectures
 5.5 References and Recommended Readings
 5.6 Summary
 5.7 Practice Set
Unit 6 Computer Networks
 6.1 Types of Networks
 6.2 TCP/IP Model
 6.3 Devices in Networks
 6.4 New Development in Networks
 6.5 References and Recommended
 Readings
 6.6 Summary
 6.7 Practice Set
Unit 7 Operating Systems
 7.1 Categories
 7.2 Components
 7.3 Popular Operating Systems
 7.4 References and Recommended
 Readings
 7.5 Summary
 7.6 Practice Set
Unit 8 Algorithm
 8.1 What Is Algorithm?
 8.2 Three Constructs
 8.3 How to Evaluate Algorithms
 8.4 Algorithm Representation
 8.5 Basic Algorithms
 8.6 Classification of Algorithm
 8.7 References and Recommended
 Readings
 8.8 Summary
 8.9 Practice Set
Unit 9 Programming
 Languages
 9.1 Development
 9.2 Program Translation
 9.3 Languages' Latest Ranking, Categories
 and Features
 9.4 Common Concepts of Programming
 Languages
 9.5 Severe Software Errors
 9.6 References and Recommended
 Readings
 9.7 Summary
 9.8 Practice Set
Unit 10 Software Engineering
 10.1 Introduction
 10.2 Software Development Life Cycle
 10.3 Software Development Models
 10.4 CMMI and Software Process
 Management
 10.5 Importance of Documentation
 10.6 Service-Oriented Architecture
 10.7 References and Recommended
 Readings
 10.8 Summary
 10.9 Practice Set
Unit 11 Data and File Structures
 11.1 Abstract Data Types
 11.2 List
 11.3 Stack
 11.4 Queue
 11.5 Tree and Graph
 11.6 File Structure
 11.7 References and Recommended
 Readings
 11.8 Summary
 11.9 Practice Set
Unit 5 2 Databases
 12.1 Introduction
 12.2 Database Management Systems
 12.3 Database Architecture
 12.4 The History of Database Systems
 12.5 Database Model
 12.6 Relational Operations
 12.7 Databases for Big Data
 12.8 References and Recommended
 Readings
 12.9 Summary
 12.10 Practice Set
Unit 13 Security
 13.1 Security Goals
 i3.2 Security Threats
 13.3 Security Services
 13.4 Cryptography
 13.5 References and Recommended
 Readings
 13.6 Summary
 13.7 Practice Set
Unit 14 Theory of Computation
 14.1 The Turing Machine
 14.2 Halting Problem
 14.3 Solvable Problems
 14.4 References and Recommended
 Readings
 14.5 Summary
 14.6 Practice Set
Unit 15 Artificial Intelligence
 15.1 Introduction
 15.2 Knowledge Representation and Expert
 Systems
 15.3 Perception
 15.4 Reasoning
 15.5 Nature Inspired Computation
 15.6 References and Recommended
 Readings
 15.7 Summary
 15.8 Practice Set
Unit 16 Internet of Things, Cloud
 Computing and Data
 Science
 16.1 Introduction
 16.2 Opportunities in IoT, Cloud, and Data
 Science
 16.3 Challenges and Research Directions
 16.4 IoT Applications
 16.5 Cloud Application Service Models
 16.6 Cloud Application Deployment
 Models
 16.7 Big Data Tools and Techniques
 16.8 Integration ofloT, Cloud Computing, and
 Big Data
 16.9 References and Recommended
 Readings
 16.10 Summary
 16.11 Practice Set