- 计算机基础与实践(英文版第3版21世纪高等学校计算机教育实用系列教材)
- - 作者：编者:张桃红//卓君宝//姚琳//何杰//万亚东等|责编:文怡//李晔
  - 出版社：清华大学
  - ISBN：9787302709428
  - 出版日期：2026/02/01
  - 页数：260
- 售价：23.6

内容大纲
    本书是创新方法工作专项项目“科学思维、科学方法在高等学校教学创新中的应用与实践”的主要研究成果之一——FKM教学法的研究与实践。
    本书既有计算机基础理论知识，包括Computer Basics and Digitization、Computer Hardware、Computer Software、Operating System、Networks、Python Programming Language；也有对人工智能发展前沿的介绍，包括Artificial Intelligence Basic、Deep Learning以及Large Models and Large Multimodal Models。
    本书开篇给出书中所有知识内容的逻辑结构图，每章均有知识逻辑结构图，相关知识点附有KM图，在教学上实现“薄-厚-薄”及反馈（Feedback）的教学回路，力图在内容、阐述等方面形成新的模式。
    本书适合作为高等院校“大学计算机基础”课程的双语教材和留学生教材，也适合作为学习计算机及英语的入门参考书。
作者介绍
目录
Chapter 1  Computer Basics and Digitization
  1.1  Computer Basics
    1.1.1  An Overview of the Computer Development
    1.1.2  The Digital Revolution
    1.1.3  Computer Types and Uses
  1.2  Digital Data Representation
    1.2.1  An Overview of the Digital Data Representation
    1.2.2  Numbering Systems
    1.2.3  More Data Representations
  1.3  Information Security
    1.3.1  An Overview of Information Security
    1.3.2  Information Security Techniques 18 Exercises
Chapter 2  Computer Hardware
  2.1  An Overview of the Computer Hardware
  2.2  Microprocessors
    2.2.1  Microprocessors Basics
    2.2.2  Processor Logic
    2.2.3  Microprocessor’s Performance
    2.2.4  GPU
  2.3  Memory
    2.3.1  Random Access Memory
    2.3.2  Read-only Memory
    2.3.3  Cache Memory
    2.3.4  Virtual Memory
  2.4  Storage Devices
    2.4.1  Storage Basics
    2.4.2  Magnetic Storage Technology
    2.4.3  Optical Storage Technology
    2.4.4  Solid State Storage Technology
  2.5  Input and Output Devices
    2.5.1  Input Devices
    2.5.2  Output Devices
    2.5.3  Installing Peripheral Devices 49 Exercises
Chapter 3  Computer Software
  3.1  An Overview of the Computer Software
    3.1.1  Software Aspects
    3.1.2  Software Development
  3.2  Software Categories
    3.2.1  System Software
    3.2.2  Application Software
    3.2.3  Development Software
  3.3  Installing Software
    3.3.1  Installation on Windows
    3.3.2  Installation on UNIX/Linux
  3.4  Security Software 68 Exercises
Chapter 4  Operating System
  4.1  An Overview of the Operating System
  4.2  Operating System Basics
    4.2.1  Operating System Activities
    4.2.2  User Interfaces

    4.2.3  The Boot Process
  4.3  Types of Operating Systems
  4.4  File Management
    4.4.1  File Basics
    4.4.2  Application-based File Management
    4.4.3  File Backup92 Exercises
Chapter 5  The Networks
  5.1  An Overview of the Networks
  5.2  Network Devices
    5.2.1  Wired Devices
    5.2.2  Wireless Devices
    5.2.3  Transmission Media
    5.2.4  Network Topologies
  5.3  LAN
    5.3.1  Communications Protocols
    5.3.2  Network Setup
  5.4  Internet
    5.4.1  Internet Basics
    5.4.2  Internet Access
    5.4.3  Internet Services
  5.5  The Web and E-mail
  5.6  The Network Security138 Exercises
Chapter 6  Python Programming Language
  6.1  An Overview of Python Programming Language
    6.1.1  History of Python Programming Language
    6.1.2  The Features of Python Programming Language
    6.1.3  Development Environments
  6.2  Basics of Python Programming Language
    6.2.1  Python Program Overview
    6.2.2  Objects
    6.2.3  Expressions
    6.2.4  Statements
    6.2.5  Functions & Modules
  6.3  Python Flow Control
    6.3.1  Sequence Structure
    6.3.2  Selection Structure
    6.3.3  Loop Structure
  6.4  Data Type
    6.4.1  List
    6.4.2  Tuples
    6.4.3  Strings
    6.4.4  Sets
    6.4.5  Dictionary
  6.5  Graphics
    6.5.1  Graphic Rendering Based on Tkinter
    6.5.2  Turtle Drawing Based on Turtle Module
    6.5.3  Draw a Square
    6.5.4  Draw a Polygon
    6.5.5  Draw a Circular Spiral
Chapter 7  Artificial Intelligence Basic

  7.1  An Overview of AI
    7.1.1  Definition of Artificial Intelligence
    7.1.2  Thinking and Intelligence
    7.1.3  Turing Test
    7.1.4  History of Artificial Intelligence
  7.2  Application and Methods
    7.2.1  Automatic Reasoning
    7.2.2  Neural Computation
    7.2.3  Knowledge Representation
    7.2.4  Uncertainty Reasoning
  7.3  The Recent Development of Artificial Intelligence
    7.3.1  Computer Games
    7.3.2  Expert System
    7.3.3  Computer Vision
    7.3.4  Natural Language Processing
    7.3.5  Bioinformatics
    7.3.6  New Material Discovery
Chapter 8  Deep Learning
  8.1  Machine Learning and Artificial Neural Networks
    8.1.1  Machine Learning
    8.1.2  Artificial Neural Networks
  8.2  Introduction to Deep Learning
    8.2.1  Layers in Deep Learning Networks
    8.2.2  Weights in Deep Learning Networks
  8.3  Deep Learning Models
    8.3.1  Convolutional Neural Network (CNN)
    8.3.2  Recurrent Neural Network (RNN)
    8.3.3  Recurrent Long Short-Term Memory Network (LSTM)
    8.3.4  Transformer and ViT
    8.3.5  Generative Adversarial Network (GAN)
Chapter 9  Large Models and Large Multimodal Models
  9.1  An Overview of Large Model
    9.1.1  Definition of Large Model
    9.1.2  History of Large Models
    9.1.3  Application Area of Large Models
    9.1.4  Future of Large Models
  9.2  Large Language Models
    9.2.1  GPT (Generative Pre-trained Transformer)
    9.2.2  BERT
    9.2.3  ChatGPT & DeepSeek
  9.3  Large Multimodal Models
    9.3.1  Concepts of Large Multimodal Models
    9.3.2  Multimodal Data
    9.3.3  Fuse Inside Multimodal
  9.4  Core Technologies of Large Multimodal Models
    9.4.1  Pretraining Tasks
    9.4.2  Prompt Learning
    9.4.3  In-Context Learning
  9.5  Application of Large Multimodal Models
    9.5.1  Generative Capabilities of Large Multimodal Models

    9.5.2  Visual Q&A
    9.5.3  Embodied Intelligence
References
Contents

内容大纲

作者介绍

目录

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