复旦大学 Fudan University
欢迎来到《人工智能导论》课程主页！本仓库用于存放课程资料，包括课件、演示代码、作业及项目文件。
Welcome to the course homepage for Introduction to AI at Fudan University. This repository hosts all course materials including lecture slides, demo code, assignments, and project starter files.
| 周次 Week | 主题 Topic | 内容简介 Content |
|---|---|---|
| 第 01 周 | 人工智能绪论 Introduction to AI | 人工智能的定义、起源与发展、未来展望 |
| 第 02 周 | 逻辑与知识表示 Logic and Knowledge Representation | 逻辑推理方法；知识表示（知识图谱、概率图推理） |
| 第 03 周 | 搜索求解 Search | 图的遍历、无信息搜索、启发式搜索 |
| 第 04 周 | 机器学习（一）Machine Learning I | 线性模型概述；线性回归；线性分类 |
| 第 05 周 | 机器学习（二）Machine Learning II | 支持向量机；模型选择与评估 |
| 第 06 周 | 机器学习（三）Machine Learning III | 无监督学习；聚类（K-Means）；PCA；高斯混合模型 |
| 第 07 周 | 深度学习（一）Deep Learning I | 深度学习概要；网络结构；梯度计算 |
| 第 08 周 | 深度学习（二）Deep Learning II | 卷积神经网络详解；卷积神经网络发展 |
| 第 09 周 | 深度学习（三）Deep Learning III | 计算机视觉（检测、分割、生成）；自然语言处理基础 |
| 第 10 周 | 深度学习（四）Deep Learning IV | RNN；LSTM；Transformer |
| 第 11 周 | 深度学习（五）Deep Learning V | 大语言模型 LLM；多模态大模型 MLLM |
| 第 12 周 | 强化学习（一）Reinforcement Learning I | 强化学习简介、马尔可夫过程；贝尔曼方程 |
| 第 13 周 | 强化学习（二）Reinforcement Learning II | 基于价值和策略；深度强化学习 |
| 第 14 周 | 人工智能前沿选讲 AI Frontiers | 图像生成和编辑；可控视频生成；具身智能；可信人工智能 |
| 第 15 周 | 小组项目汇报 Group Project Presentation | 课程小组项目汇报 |
| 第 16 周 | 小组项目汇报与课程复习 Project Presentation and Course Review | 课程小组项目汇报与课程复习 |
| 第 17–18 周 | 线下考试 Offline Exam | — |
本课程共有 12 个项目，每个项目文件夹内将包含基础代码和数据集。
There are 12 projects in this course. Each project folder will contain starter code and datasets.
| 项目 Project | 文件夹 Folder |
|---|---|
| Project 01 | Projects/Project01 |
| Project 02 | Projects/Project02 |
| Project 03 | Projects/Project03 |
| Project 04 | Projects/Project04 |
| Project 05 | Projects/Project05 |
| Project 06 | Projects/Project06 |
| Project 07 | Projects/Project07 |
| Project 08 | Projects/Project08 |
| Project 09 | Projects/Project09 |
| Project 10 | Projects/Project10 |
| Project 11 | Projects/Project11 |
| Project 12 | Projects/Project12 |
.
├── Lectures/
│ ├── Week01_Introduction-to-AI/
│ ├── Week02_Logic-and-Knowledge-Representation/
│ ├── Week03_Search/
│ ├── Week04_Machine-Learning-I/
│ ├── Week05_Machine-Learning-II/
│ ├── Week06_Machine-Learning-III/
│ ├── Week07_Deep-Learning-I/
│ ├── Week08_Deep-Learning-II/
│ ├── Week09_Deep-Learning-III/
│ ├── Week10_Deep-Learning-IV/
│ ├── Week11_Deep-Learning-V/
│ ├── Week12_Reinforcement-Learning-I/
│ ├── Week13_Reinforcement-Learning-II/
│ ├── Week14_AI-Frontiers/
│ ├── Week15_Group-Project-Presentation/
│ └── Week16_Project-Presentation-and-Review/
└── Projects/
├── Project01/
├── Project02/
├── ...
└── Project12/