本书的特色：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——KM
教学法的研究与实践”的主要研究成果之一（一系列教材
之一）。本书按KM教学方法进行统稿与编写，按系统软件
、office应用软件、python开发软件分为： Windows 7操
作，Microsoft WORD2010, MS Excel 2010, and MS
Powerpoint 2010 及 phthon基础程序操作，Big Data
and Machine Learning；本书开篇给出逻辑结构图，每章
均有本章的知识逻辑结构图，相关知识点附有KM图，在教
学上实现“薄-厚-薄”的教学回路，在内容、阐述等方面
形成新的模式。
Chapter 1 Microsoft Windows
1.1 An Overview of Windows
1.1.1 The New Function of Windows
1.1.2 The Basic Operation of Windows
1.2 File Management of Windows
1.2.1 Explore
1.2.2 Search
1.2.3 Backup and Restore
1.3 Control Panel
1.3.1 Program Management
1.3.2 Custom Personalization
1.4 Task Manager
1.5 Experiment of File Management
1.5.1 Experiment purpose
1.5.2 Experiment contents
1.5.3 Experiment procedures
1.5.4 Self test practice
1.6 Experiment of System Setting
1.6.1 Experiment purpose
1.6.2 Experiment contents
1.6.3 Experiment procedures
1.6.4 Self test practice
Chapter 2 Microsoft Word
2.1 An Overview of Microsoft Word
2.1.1 Basic functions of Microsoft Word 2010
2.1.2 Working Interface of Microsoft Word 2010
2.2 Experiment 1: Document Settings
2.2.1 Experiment purpose
2.2.2 Experiment contents
2.2.3 Experiment procedures
2.2.4 Self test practice
2.3 Experiment 2: Pictures and Tables in Word
2.3.1 Experiment purpose
2.3.2 Experiment contents
2.3.3 Experiment procedures
2.3.4 Self test practice
2.4 Experiment 3: Word Project
2.4.1 Document theme
2.4.2 Document requirements
Chapter 3 Microsoft Excel
3.1 An Overview of Microsoft Excel
3.1.1 The elements of Excel table
3.1.2 Create a table
3.2 Experiment 1: Basic Excel
3.2.1 Experiment purpose
3.2.2 Experiment contents
3.2.3 Experiment procedures
3.2.4 Self test practice
3.3 Experiment 2: Advanced Excel
3.3.1 Experiment purpose
3.3.2 Experiment contents
3.3.3 Experiment procedures
3.3.4 Self test practice
3.4 Experiment 3: Excel Project
3.4.1 Project topic
3.4.2 Experiment requirements
Chapter 4 Microsoft PowerPoint
4.1 An Overview of PowerPoint
4.1.1 Basic functions of Microsoft PowerPoint
4.1.2 Working Interface of Microsoft PowerPoint
4.2 Experiment 1： Basic Operation
4.2.1 Experiment purpose
4.2.2 Experiment contents
4.2.3 Experiment procedures
4.2.4 Self test practice
4.3 Experiment 2： Advanced Operation
4.3.1 Experiment purpose
4.3.2 Experiment contents
4.3.3 Experiment procedures
4.3.4 Self test practice
4.4 Experiment 3: Comprehensive Project
Chapter 5 Python Programming
5.1 Building Python Environment
5.1.1 Install Python
5.1.2 Install PyCharm
5.2 Experiment 1: Basic Operation
5.2.1 Experiment purpose
5.2.2 Experiment contents
5.2.3 Self test practice
5.3 Experiment 2: Advanced Operation
5.3.1 Experiment purpose
5.3.2 Experiment contents
5.3.3 Self test practice
5.4 Experiment 3: Python Project
5.4.1 Experiment purpose
5.4.2 Experiment contents
5.4.3 Self test practice
Chapter 6 Big Data and Machine Learning
6.1 An Overview of Big Data and Machine Learning
6.1.1 Introduction of Big Data and Machine Learning
6.1.2 Development platform installation
6.1.3 Development environment test
6.1.4 Installation of other related libraries
6.2 Experiment 1: Handwritten digital image recognition
6.2.1 Experiment purpose
6.2.2 Experiment contents
6.2.3 Experiment procedures
6.2.4 Self test practice
6.3 Experiment 2: Analysis of COVID19 data
6.3.1 Experiment purpose
6.3.2 Experiment contents
6.3.3 Experiment procedures
6.3.4 Self test practice
