清华大学计算机系人工智能通识教育研究中心 · 红皮书

附录与参考文献

各学段教材目录、实践手册目录与全书引用文献

顾问 张钹主编 王东 · 马少平清华大学计算机系人工智能通识教育研究中心v2.3.3(征求意见稿)2026 年 8 月

附录A

小学学段

A.1学段集成版

A.1.1教材目录

本附录依据《清华大中小学人工智能通识教育系列》小学版教材目录整理。

序号章题目课题目
1第一章从梦想到现实偃师的故事
2第一章从梦想到现实加扎利的音乐团
3第一章从梦想到现实电影中的人工智能
4第一章从梦想到现实什么是人工智能
5第二章身边的人工智能高铁检票员
6第二章身边的人工智能电子交警
7第二章身边的人工智能美颜相机
8第二章身边的人工智能扫地机器人
9第二章身边的人工智能自动驾驶
10第二章身边的人工智能推荐系统
11第三章人工智能前沿AI 画家
12第三章人工智能前沿AI 作曲家
13第三章人工智能前沿AI 诗人
14第三章人工智能前沿AlphaGo 的故事
15第三章人工智能前沿OpenAI 和它的ChatGPT
16第三章人工智能前沿Sora 的故事
17第三章人工智能前沿AI 天气预报员
18第四章人工智能起源亚里士多德的故事

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表A.1 (续)
序号章题目课题目
19第四章人工智能起源布尔的故事
20第四章人工智能起源图灵和图灵机
21第四章人工智能起源计算机的诞生
22第四章人工智能起源机器智能的最初设想
23第四章人工智能起源达特茅斯会议
24第五章人工智能发展史吴文俊的故事
25第五章人工智能发展史费根鲍姆的专家系统
26第五章人工智能发展史深蓝:成就巅峰
27第五章人工智能发展史深度学习兴起
28第五章人工智能发展史大模型时代
29第五章人工智能发展史走向未来
30第六章人工智能基础认识计算机
31第六章人工智能基础认识计算机程序
32第六章人工智能基础什么是算法
33第六章人工智能基础知识与智能
34第六章人工智能基础不会学习的机器不是好机器
35第七章深度学习时代皮茨和他的神经元模型
36第七章深度学习时代感知器:会学习的神经网络
37第七章深度学习时代杰弗里·辛顿的故事
38第七章深度学习时代李飞飞与ImageNet 数据集
39第七章深度学习时代GPU:从游戏到人工智能
40第七章深度学习时代解析AlphaGo
41第七章深度学习时代探索大语言模型
42第七章深度学习时代深度学习挑战:难以理解的智能
43第七章深度学习时代深度学习挑战:对抗样本
44第七章深度学习时代深度学习挑战:超级智能体

A.1.2实践手册目录

本附录依据《清华大中小学人工智能通识教育系列》小学版教材实践手册(博爱新华小学)整理。原手册中的实践项目按章编排如下。

序号章节实践类型实践题目
1.1第一章调研智能机器的千年梦想
1.2第一章调研寻找身边的AI
2.1第二章情景剧时光车站
2.2第二章体验感知现代魔法镜——它真的让你更美了吗?
2.3第二章征文AI 智能机器人
3.1第三章体验感知节气小精灵图鉴
3.2第三章体验感知丰富班级文化:设计班歌
3.3第三章体验感知四季诗歌交流会
3.4第三章体验感知AI 童话故事
4.1第四章手工制作计算机的诞生图计算机进化隧道
5.1第五章征文AI 带你闯未来
6.1第六章征文穿越计算机时空之旅
6.2第六章AI 小剧场AI 小智成长记
7.1第七章辩论未来的超级智能体会是人类的朋友还是敌人?

A.2年级分册版

本附录依据《清华大中小学人工智能通识教育系列》三至六年级教材整理,按上下册分别列出单元题目和节题目。

A.2.1三年级上册

序号单元题目节题目
1.1从梦想到现实“偃师造人”的故事
1.2从梦想到现实加扎利的音乐团
1.3从梦想到现实电影中的人工智能
1.4从梦想到现实一个电饭锅的故事:什么是人工智能?
2.1身边的人工智能(一)高铁检票员
2.2身边的人工智能(一)电子交警
2.3身边的人工智能(一)美颜相机
3.1身边的人工智能(二)扫地机器人
3.2身边的人工智能(二)自动驾驶
3.3身边的人工智能(二)推荐系统
4.1人工智能前沿AlphaGo 的故事
4.2人工智能前沿OpenAI 与大语言模型
4.3人工智能前沿神奇的人工智能视频

A.2.2三年级下册

序号单元题目节题目
1.1人类智能人类的智能有哪些
1.2人类智能智商与智商的测量
1.3人类智能情商:理性之外的智慧
2.1人工智能的起源(一)亚里士多德和他的三段论
2.2人工智能的起源(一)布尔的故事
2.3人工智能的起源(一)图灵和图灵机
2.4人工智能的起源(一)计算机的诞生
3.1人工智能的起源(二)机器智能的最初设想
3.2人工智能的起源(二)图灵测试
3.3人工智能的起源(二)图灵奖
4.1人工智能的诞生人工智能的诞生前夜

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表A.4 (续)
序号单元题目节题目
4.2人工智能的诞生达特茅斯会议

A.2.3四年级上册

序号单元题目节题目
1.1黄金十年伊丽莎的成功
1.2黄金十年吴文俊的故事
1.3黄金十年机器翻译的开端
1.4黄金十年高潮落幕:人工智能的第一次低谷
2.1第二次高潮爱德华·费根鲍姆和专家系统
2.2第二次高潮梦想破灭:日本第五代计算机
2.3第二次高潮机器昆虫时代
3.1稳步回暖机器学习的兴起
3.2稳步回暖深蓝:成就巅峰
3.3稳步回暖沃森:会思考的“百科全书”
4.1现状与未来深度学习的兴起
4.2现状与未来大模型时代
4.3现状与未来走向未来

A.2.4四年级下册

序号单元题目节题目
1.1人工智能与医学辅助手术机器人:医生的“超级助手”
1.2人工智能与医学人工智能读胸片:医生的“智慧之眼”
1.3人工智能与医学人工智能帮助研发癌症疫苗
2.1人工智能与科学研究AlphaFold:人工智能预测蛋白质结构
2.2人工智能与科学研究人工智能帮助数学家提出猜想

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表A.6 (续)
序号单元题目节题目
2.3人工智能与科学研究人工智能助力太空探索
2.4人工智能与科学研究人工智能提高显微镜的“视力”
3.1人工智能与生活人工智能天气预报
3.2人工智能与生活人工智能建筑师
3.3人工智能与生活人工智能守护野生动物
4.1人工智能与艺术人工智能画家
4.2人工智能与艺术人工智能音乐家
4.3人工智能与艺术人工智能诗人

A.2.5五年级上册

序号单元题目节题目
1.1人工智能风险(一)信息伪造
1.2人工智能风险(一)信息泄露
1.3人工智能风险(一)信息茧房
2.1人工智能风险(二)人工智能的幻觉
2.2人工智能风险(二)过度迎合的人工智能
2.3人工智能风险(二)机器人会反抗人类吗
3.1人工智能伦理(一)人工智能与社会公平
3.2人工智能伦理(一)可以让人工智能帮忙写作文吗
3.3人工智能伦理(一)人工智能作品版权归属
4.1人工智能伦理(二)人工智能可以当裁判吗
4.2人工智能伦理(二)自动驾驶出错由谁负责
4.3人工智能伦理(二)会安慰你的人工智能真的懂你吗

A.2.6五年级下册

序号单元题目节题目
1.1计算机基础认识计算机
1.2计算机基础计算机程序
1.3计算机基础计算机操作系统
1.4计算机基础算法
2.1基于知识的人工智能知识与智能
2.2基于知识的人工智能对弈算法
2.3基于知识的人工智能定理证明
2.4基于知识的人工智能专家系统
2.5基于知识的人工智能知识图谱
3.1机器学习的基础概念机器怎样从例子中学习
3.2机器学习的基础概念有答案的学习:监督学习
3.3机器学习的基础概念没有答案也能学习:无监督学习
3.4机器学习的基础概念通过奖励学习:强化学习

A.2.7六年级上册

序号单元题目节题目
1.1数据与模型数据与人工智能
1.2数据与模型数据准备
1.3数据与模型模型设计
1.4数据与模型模型训练
2.1机器学习常见任务回归任务
2.2机器学习常见任务分类任务
2.3机器学习常见任务聚类任务
3.1人工神经网络(一)人类的神经系统
3.2人工神经网络(一)皮茨和他的神经元模型
3.3人工神经网络(一)感知器:会“学习”的神经网络
4.1人工神经网络(二)多层感知器

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表A.9 (续)
序号单元题目节题目
4.2人工神经网络(二)卷积神经网络
4.3人工神经网络(二)循环神经网络

A.2.8六年级下册

序号单元题目节题目
1.1深度学习杰弗里·辛顿的故事
1.2深度学习深度学习的秘密
1.3深度学习李飞飞与ImageNet 数据集
1.4深度学习GPU:从游戏到人工智能
1.5深度学习解析AlphaGo
2.1大模型与智能体语言模型
2.2大模型与智能体大语言模型
2.3大模型与智能体视觉大模型
2.4大模型与智能体多模态大模型
2.5大模型与智能体推理大模型
2.6大模型与智能体智能体
3.1深度学习的挑战难以理解的智能
3.2深度学习的挑战对抗样本
3.3深度学习的挑战超级智能体
附录B

初中学段

B.1学段集成版

B.1.1教材目录

本附录依据《清华大中小学人工智能通识教育系列》初中版教材目录整理。

序号章题目课题目
1第一章什么是人工智能智能机器的梦想
2第一章什么是人工智能什么是人工智能
3第一章什么是人工智能机器的眼睛
4第一章什么是人工智能机器的耳朵
5第一章什么是人工智能机器的嘴巴
6第一章什么是人工智能机器的手和脚
7第二章人工智能的诞生人类智能的起源
8第二章人工智能的诞生人类思维规律的总结
9第二章人工智能的诞生计算机的诞生
10第二章人工智能的诞生伟大的图灵
11第二章人工智能的诞生达特茅斯会议
12第三章人工智能发展史梦想与失落
13第三章人工智能发展史深度学习时代
14第三章人工智能发展史大模型时代
15第三章人工智能发展史交叉与融合
16第三章人工智能发展史走向未来
17第四章人工智能前沿人工智能与棋牌游戏
18第四章人工智能前沿人工智能与语言

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表B.1 (续)
序号章题目课题目
19第四章人工智能前沿人工智能与艺术
20第四章人工智能前沿人工智能与天文学
21第四章人工智能前沿人工智能与生物学
22第四章人工智能前沿人工智能与医学
23第五章人工智能伦理机器人三定律
24第五章人工智能伦理信息伪造
25第五章人工智能伦理信息泄露
26第五章人工智能伦理信息茧房
27第五章人工智能伦理人工智能与社会公平
28第五章人工智能伦理法律责任
29第六章人工智能基础方法基于知识的智能
30第六章人工智能基础方法基于学习的智能
31第六章人工智能基础方法监督学习和无监督学习
32第六章人工智能基础方法强化学习
33第六章人工智能基础方法机器学习的流派
34第七章深度学习方法人类神经系统
35第七章深度学习方法人工神经网络的开端
36第七章深度学习方法人工神经网络的发展史
37第七章深度学习方法深度学习的开端
38第七章深度学习方法深度学习基本原理
39第七章深度学习方法深度学习的挑战:对抗样本
40第七章深度学习方法深度学习的挑战:可解释性

B.1.2实践手册目录

清华附中版

本附录依据《清华大中小学人工智能通识教育系列》初中版教材实践手册(清华附中版)整理。

表B.2: 《清华大中小学人工智能通识系列》(初中版) 实践手册(清华附中版)目录
序号实践类型实践题目
1分析人工智能的起源(1):人类思维的数学化
2分析人工智能的起源(2):计算机的诞生
3工具人工智能的起源(3):伟大的图灵
4分析人工智能的起源(4):达特茅斯会议
5分析人工智能的发展(5):梦想与失落
6工具人工智能的发展(7):大模型新时代
7调研、辩论人工智能的发展(8):交叉与融合
8工具人工智能与艺术创作
9调研、分析人工智能与生物学
10调研、分析人工智能与医学
11分析、辩论机器人三定律
12代码机器学习样例
13分析人类神经系统
14分析人工神经网络的开端
15分析人工神经网络发展史
16分析卷积神经网络简介
17分析、代码深度学习解析:AlphaGo 的秘密
18工具深度学习解析:Sora 视频生成器
19分析、工具信息茧房与算法推荐
20辩论、工具人工智能法律与道德责任

苏州星浦实验中学版

本附录依据《清华大中小学人工智能通识教育系列》初中版教材实践手册(苏州星浦实验中学版)整理。

表B.3: 《清华大中小学人工智能通识系列》(初中版) 实践手册(苏州星浦实验中学版)目录
序号篇章实践类型实践题目
1.1第一篇调研漫展人工智能
1.2第一篇演讲假如机器的眼睛出现了偏差
1.3第一篇工具体验语音合成
2.1第二篇分析体验人类思维的发展
2.2第二篇测试机器是否能像人类一样思考问题
2.3第二篇话剧达特茅斯会议
3.1第三篇征文人工智能的发展历程
3.2第三篇工具大模型深度体验
3.3第三篇征文创作科幻故事
4.1第四篇代码基于Alpha-Beta 剪枝的五子棋
4.2第四篇工具AI 艺术生成
4.3第四篇调研蛋白质结构解析
5.1第五篇辩论自动驾驶汽车难题
5.2第五篇角色扮演模拟个性化推荐
5.3第五篇辩论人工智能与社会公平
6.1第六篇工具水果智能识别系统
6.2第六篇分析机器学习的三大核心范式
7.1第七篇调研探究自我恢复的机理
7.2第七篇分析神经网络可视化
7.3第七篇代码深度学习体验

B.2年级分册版

本附录依据《清华大中小学人工智能通识教育系列》七、八年级教材整理,按年级和上下册分别列出单元题目和节题目。

B.2.1七年级上册

序号单元题目节题目
1.1人工智能的概念智能机器的梦想
1.2人工智能的概念什么是人工智能
1.3人工智能的概念机器的眼睛
1.4人工智能的概念机器的耳朵
1.5人工智能的概念机器的嘴巴
1.6人工智能的概念机器的手和脚
2.1人工智能的诞生人类智能的起源
2.2人工智能的诞生人类思维规律的总结
2.3人工智能的诞生计算机的诞生
2.4人工智能的诞生伟大的图灵
2.5人工智能的诞生达特茅斯会议
3.1人工智能的发展梦想与失落
3.2人工智能的发展深度学习时代
3.3人工智能的发展大模型时代
3.4人工智能的发展交叉融合

B.2.2七年级下册

序号单元题目节题目
1.1人工智能伦理机器人三定律
1.2人工智能伦理信息伪造
1.3人工智能伦理信息泄露
1.4人工智能伦理信息茧房
1.5人工智能伦理人工智能与社会公平
1.6人工智能伦理法律责任
2.1人工智能前沿人工智能与游戏

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表B.5 (续)
序号单元题目节题目
2.2人工智能前沿人工智能与语言
2.3人工智能前沿人工智能与艺术
2.4人工智能前沿人工智能与天文学
2.5人工智能前沿人工智能与生物学
2.6人工智能前沿人工智能与医学
2.7人工智能前沿人工智能与新材料
2.8人工智能前沿人工智能与数学
2.9人工智能前沿人工智能与城市交通

B.2.3八年级上册

序号单元题目节题目
1.1人工智能基础方法(一)计算机发展史
1.2人工智能基础方法(一)计算机算法基础
1.3人工智能基础方法(一)基于知识的智能
1.4人工智能基础方法(一)基于学习的智能
2.1人工智能基础方法(二)机器学习样例
2.2人工智能基础方法(二)监督学习与无监督学习
2.3人工智能基础方法(二)强化学习
2.4人工智能基础方法(二)机器学习学派
3.1神经网络方法人类神经系统
3.2神经网络方法人工神经网络的开端
3.3神经网络方法人工神经网络发展史
3.4神经网络方法卷积神经网络简介
3.5神经网络方法循环神经网络简介

B.2.4八年级下册

序号单元题目节题目
1.1深度学习方法深度学习的开端
1.2深度学习方法深度学习的基本原理
1.3深度学习方法词向量和对象嵌入
1.4深度学习方法序列到序列模型
1.5深度学习方法注意力机制
1.6深度学习方法深度学习的挑战:对抗样本
1.7深度学习方法深度学习的挑战:可解释性
2.1大模型神经网络语言模型
2.2大模型Transformer 简介
2.3大模型预训练方法
2.4大模型人类对齐
2.5大模型多模态大模型
2.6大模型走向未来
附录C

高中学段

C.1学段集成版

C.1.1教材目录

本附录依据《清华大中小学人工智能通识教育系列》高中版教材目录整理。

序号章题目课题目
1第一章人工智能概述什么是人工智能
2第一章人工智能概述人类智能的起源
3第一章人工智能概述人工智能的起源——数理逻辑
4第一章人工智能概述人工智能的起源——计算机的诞生
5第一章人工智能概述图灵:人工智能之父
6第一章人工智能概述人工智能的开端
7第一章人工智能概述人工智能发展史(1)
8第一章人工智能概述人工智能发展史(2)
9第一章人工智能概述人工智能伦理(1):人工智能近期风险
10第一章人工智能概述人工智能伦理(2):人工智能远期风险
11第二章人工智能基础基于知识的人工智能
12第二章人工智能基础基于学习的智能
13第二章人工智能基础机器学习的基础流程
14第二章人工智能基础机器学习方法
15第二章人工智能基础机器学习四大流派
16第二章人工智能基础人工神经元网络
17第二章人工智能基础典型网络结构
18第二章人工智能基础深度学习

接下页

表C.1 (续)
序号章题目课题目
19第二章人工智能基础大模型的基本原理(1)
20第二章人工智能基础大模型的基本原理(2)
21第三章人工智能应用机器视觉:人脸识别
22第三章人工智能应用机器视觉:绘画大师
23第三章人工智能应用机器视觉:伪造与鉴别
24第三章人工智能应用机器听觉:语音识别
25第三章人工智能应用机器听觉:语音合成
26第三章人工智能应用语言理解:机器翻译
27第三章人工智能应用人机对弈:AlphaGo 背后的秘密
28第三章人工智能应用人机对弈:AI 游戏玩家
29第三章人工智能应用信息检索:搜索引擎的秘密
30第三章人工智能应用信息检索:推荐算法
31第四章人工智能交叉和数学家做朋友
32第四章人工智能交叉模仿蝙蝠的耳朵
33第四章人工智能交叉破解蛋白质结构
34第四章人工智能交叉重构材料微观结构
35第四章人工智能交叉预测化学反应
36第四章人工智能交叉天文学家助手
37第四章人工智能交叉人工智能作曲家
38第四章人工智能交叉检测炭疽芽孢
39第四章人工智能交叉开发癌症疫苗
40第四章人工智能交叉走向未来

C.1.2实践手册目录

本附录依据《清华大中小学人工智能通识教育系列》高中版教材实践手册(清华附中大兴学校版)整理。

序号篇章实践类型实践题目
1.1第一篇人工智能概述工具绘制人工智能发展史
1.2第一篇人工智能概述调研人工智能风险调研
2.1第二篇人工智能基础分析AI 如何帮助解决海洋污染
2.2第二篇人工智能基础调研机器学习
2.3第二篇人工智能基础分析人工神经网络初探
2.4第二篇人工智能基础分析Transformer 的工作原理
3.1第三篇人工智能应用代码清兴智慧食堂
3.2第三篇人工智能应用代码清兴智慧停车
3.3第三篇人工智能应用工具清兴杂志封面制作
3.4第三篇人工智能应用代码清兴智能语音导览
3.5第三篇人工智能应用代码清兴科技角——下棋机器人(一)
3.6第三篇人工智能应用代码清兴科技角——下棋机器人(二)
4.1第四篇人工智能前沿工具与AI 一起密铺
4.2第四篇人工智能前沿调研破解蛋白质结构之谜
4.3第四篇人工智能前沿工具清兴校歌制作

C.2年级分册版

本附录依据《清华大中小学人工智能通识教育系列》高一、高二教材整理,按年级和上下册分别列出单元题目和节题目。

C.2.1高一上册

序号单元题目节题目
1.1人工智能的起源什么是人工智能
1.2人工智能的起源人类智能的起源
1.3人工智能的起源人工智能的起源:数理逻辑
1.4人工智能的起源人工智能的起源:计算机的诞生
1.5人工智能的起源图灵:人工智能之父
2.1人工智能的发展人工智能的开端
2.2人工智能的发展人工智能发展史(一)
2.3人工智能的发展人工智能发展史(二)
2.4人工智能的发展让人惊讶的人工智能
3.1人工智能伦理人工智能伦理:近期风险
3.2人工智能伦理人工智能伦理:远期风险
3.3人工智能伦理人工智能工具的合规使用

C.2.2高一下册

序号单元题目节题目
1.1人工智能方法基于知识的人工智能
1.2人工智能方法基于学习的人工智能
1.3人工智能方法机器学习基础流程
1.4人工智能方法机器学习方法
2.1深度学习初识人工神经网络
2.2深度学习典型神经网络

接下页

表C.4 (续)
序号单元题目节题目
2.3深度学习深度学习基础
2.4深度学习深度学习前沿(一)
2.5深度学习深度学习前沿(二)
3.1大模型大模型的基本原理(一)
3.2大模型大模型的基本原理(二)

C.2.3高二上册

序号单元题目节题目
1.1机器视觉人脸识别
1.2机器视觉图像生成
1.3机器视觉伪造与鉴别
2.1机器听觉语音识别
2.2机器听觉声纹识别
2.3机器听觉语音合成
3.1语言处理机器翻译
3.2语言处理机器作家
3.3语言处理机器诗人
4.1人机对战AlphaGo
4.2人机对战人工智能与游戏
5.1搜索与推荐搜索引擎
5.2搜索与推荐推荐算法

C.2.4高二下册

序号单元题目节题目
1.1人工智能在数学与工程学科的应用和数学家做朋友
1.2人工智能在数学与工程学科的应用模仿蝙蝠的耳朵
1.3人工智能在数学与工程学科的应用天文学家的助手
2.1人工智能在材料与化学学科的应用重构材料微观三维结构
2.2人工智能在材料与化学学科的应用预测化学反应类别
2.3人工智能在材料与化学学科的应用破解蛋白质结构
3.1人工智能在生物与医学学科的应用检测炭疽芽孢杆菌
3.2人工智能在生物与医学学科的应用开发癌症疫苗
3.3人工智能在生物与医学学科的应用预测健康状况
4.1人工智能在人文与社会学科的应用释读古文字
4.2人工智能在人文与社会学科的应用人工智能作曲
4.3人工智能在人文与社会学科的应用走向未来
附录D

高等教育学段

D.1教材目录

本附录根据《人工智能通识:原理、方法、应用与交叉融合》清华版教材整理。

序号篇题目章题目
1第一篇 人工智能概述什么是人工智能
2第一篇 人工智能概述人类智能的起源
3第一篇 人工智能概述人工智能的起源:数理逻辑
4第一篇 人工智能概述人工智能的起源:计算机的诞生
5第一篇 人工智能概述图灵:人工智能之父
6第一篇 人工智能概述人工智能的开端
7第一篇 人工智能概述人工智能发展史
8第一篇 人工智能概述让人惊讶的AI
9第一篇 人工智能概述人工智能风险与伦理
10第二篇 人工智能基础基于知识的人工智能
11第二篇 人工智能基础基于学习的人工智能
12第二篇 人工智能基础机器学习基本流程
13第二篇 人工智能基础机器学习方法
14第二篇 人工智能基础机器学习策略
15第二篇 人工智能基础初识人工神经网络
16第二篇 人工智能基础典型神经网络结构
17第二篇 人工智能基础深度学习基础
18第二篇 人工智能基础深度学习前沿(1)
19第二篇 人工智能基础深度学习前沿(2)

接下页

表D.1 (续)
序号篇题目章题目
20第二篇 人工智能基础大模型的基本原理(1)
21第二篇 人工智能基础大模型的基本原理(2)
22第二篇 人工智能基础深度学习面临的挑战
23第三篇 人工智能应用机器视觉:人脸识别
24第三篇 人工智能应用机器视觉:车牌识别
25第三篇 人工智能应用机器视觉:AI 美颜
26第三篇 人工智能应用机器视觉:绘画大师
27第三篇 人工智能应用机器视觉:AI 鉴伪
28第三篇 人工智能应用机器听觉:语音识别
29第三篇 人工智能应用机器听觉:声纹识别
30第三篇 人工智能应用机器听觉:语音合成
31第三篇 人工智能应用语言理解:写作与对话
32第三篇 人工智能应用语言处理:人工智能诗人
33第三篇 人工智能应用语言处理:机器翻译
34第三篇 人工智能应用人机对战:围棋国手
35第三篇 人工智能应用人机对战:AI 游戏
36第三篇 人工智能应用扫地机器人
37第三篇 人工智能应用搜索引擎
38第三篇 人工智能应用推荐算法
39第四篇 人工智能交叉破解蛋白质结构之谜
40第四篇 人工智能交叉重构材料微观三维结构
41第四篇 人工智能交叉预测化学反应类别
42第四篇 人工智能交叉生物拟态证据
43第四篇 人工智能交叉听声辨位
44第四篇 人工智能交叉检测炭疽病
45第四篇 人工智能交叉太空探索
46第四篇 人工智能交叉AI 作曲

接下页

表D.1 (续)
序号篇题目章题目
47第四篇 人工智能交叉和数学家做朋友
48第四篇 人工智能交叉机器做梦
49第四篇 人工智能交叉天文学家的助手
50第四篇 人工智能交叉预测新冠病毒传染性
51第四篇 人工智能交叉开发癌症疫苗
52第四篇 人工智能交叉AI 增强显微镜
53第四篇 人工智能交叉走向未来

D.2实践手册目录

本附录根据《人工智能通识:原理、方法、应用与交叉融合》清华版教材实践手册(清华版)整理。

序号篇章实践类型实践题目
1.1第一篇调研人工智能基础素养
1.2第一篇辩论多元智能vs 普遍智能
1.3第一篇征文图灵与瑟尔之争
1.4第一篇工具专业科普AGENT
1.5第一篇征文人与机器人
2.1第二篇辩论硅基文明是否可能——人机辩论赛
2.2第二篇代码线性分类模型
2.3第二篇分析神经网络可视化
2.4第二篇分析卷积神经网络可视化
2.5第二篇分析深入理解卷积神经网络
2.6第二篇分析深入理解Transformer
2.7第二篇工具生成Nature 封面
2.8第二篇调研大模型技术之“思维链”
2.9第二篇调研对抗样本

接下页

表D.2 (续)
序号篇章实践类型实践题目
3.1第三篇代码人脸识别系统
3.2第三篇代码车牌识别系统
3.3第三篇工具艺术之星
3.4第三篇代码语音合成与声音克隆
3.5第三篇征文大语言模型与学术道德
3.6第三篇工具人工智能诗人
3.7第三篇代码五子棋王者
3.8第三篇征文搜索引擎商业排名的善与恶
4.1第四篇调研GNoME 系统的落地方案
4.2第四篇调研“AI+ 化学”项目的可行性分析
4.3第四篇工具AI 作曲家
4.4第四篇调研AI 医疗发展预测
4.5第四篇调研城市人工智能发展规划
附录E

终身学习学段

E.1教材目录

本附录根据《人工智能通识(终身学习版)》清华版教材整理。

序号章(单元)题目节题目
1.1人工智能:未来已来智能机器的梦想
1.2人工智能:未来已来什么是人工智能
1.3人工智能:未来已来人工智能发展简史
1.4人工智能:未来已来强大的人工智能
2.1身边的人工智能机器的眼睛
2.2身边的人工智能机器的耳朵
2.3身边的人工智能机器的嘴巴
2.4身边的人工智能机器的手和脚
2.5身边的人工智能检索与推荐
2.6身边的人工智能语言理解
3.1人工智能基础:深度学习机器智能与机器学习
3.2人工智能基础:深度学习杰弗里·辛顿的故事
3.3人工智能基础:深度学习深度学习的秘密
3.4人工智能基础:深度学习数据与计算
3.5人工智能基础:深度学习解析AlphaGo
4.1人工智能前沿:大模型与智能体语言模型
4.2人工智能前沿:大模型与智能体大语言模型

接下页

表E.1 (续)
序号章(单元)题目节题目
4.3人工智能前沿:大模型与智能体视觉大模型
4.4人工智能前沿:大模型与智能体多模态大模型
4.5人工智能前沿:大模型与智能体推理大模型
4.6人工智能前沿:大模型与智能体智能体
5.1人工智能伦理机器人三定律
5.2人工智能伦理信息伪造
5.3人工智能伦理信息泄露
5.4人工智能伦理信息茧房
5.5人工智能伦理人工智能与社会公平
5.6人工智能伦理法律责任
6.1人工智能生活陪伴AI 问答:用AI 获取信息
6.2人工智能生活陪伴AI 写作
6.3人工智能生活陪伴AI 作诗:让AI 帮你展现才华
6.4人工智能生活陪伴AI 画家:贺卡、海报与修图
6.5人工智能生活陪伴AI 生成视频:回忆、祝福与记录
6.6人工智能生活陪伴AI 生成音乐:一首属于你的歌
7.1未来展望人工智能的发展趋势
7.2未来展望人工智能的研究方向
7.3未来展望AI+ 健康生活的前沿进展

E.2实践手册目录

本附录根据《人工智能通识(终身学习版)实践指南》整理。

序号专题题目分节题目
1.1轻松迈入AI 的大门手机应用软件使用
1.2轻松迈入AI 的大门手机软件中的基础智能
2.1AI 工具什么是AI 工具?
2.2AI 工具找到AI 工具
2.3AI 工具开始使用AI 工具
3理解人工智能
4.1AI 问答:用AI 获取信息医疗健康
4.2AI 问答:用AI 获取信息购物与消费
4.3AI 问答:用AI 获取信息旅游与出行
4.4AI 问答:用AI 获取信息办事与公共服务
4.5AI 问答:用AI 获取信息家庭日用与手机操作
5AI 写作
6AI 作诗:让AI 帮你展示才华
7AI 画家:贺卡、海报与修图
8AI 生成视频:回忆、祝福与记录
9AI 生成音乐:一首属于你的歌
10安全指南
11前沿应用与创作
12创作集锦

参考文献

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