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Reference materials for professional courses from the sophomore year of artificial intelligence major at Southeast University

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AriesCHENFISH/AI-Major-Course-Projects

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Personal Course Experiment Resources 📚

This repository contains the course experiment resources I have personally created, which I believe have high reference value. It also includes some of my personal reflections, and is provided solely for the reference of my colleagues.

Courses & Professors 👨‍🏫

1. Required Courses 📘

  • Optimization Methods – Professor Jia Yuheng
  • Pattern Recognition – Professor Xue Hui
  • Machine Learning – Professor Liu Xuying
  • Knowledge Engineering – Professor Wu Tianxing

2. Elective Courses 📙

This section contains fewer archived materials from past courses, so I’ve uploaded all my reference-worthy assignments here:

  • Probabilistic Graphical Models – Professor Gao Zhiqiang
  • Smart Car and Autonomous Driving – Professor Wei Wenpeng

Feel free to explore and refer to the materials as needed! 📂

个人课程实验资源 📚

本仓库收纳了我个人所作的,且认为可参考价值较高的课程实验资源,包含了一些个人思考,仅供同事们参考。

课程及我的任课老师 👨‍🏫

1. 必修课程 📘

  • 最优化方法 – 贾育衡教授
  • 模式识别 – 薛晖教授
  • 机器学习 – 刘胥影教授
  • 知识工程 – 吴天星教授

2. 选修课程 📙

这部分过往留存资料甚少,因此我将我的可参考价值较高的作业资料都上传于此:

  • 概率图模型 – 高志强教授
  • 智能车与自动驾驶 – 魏文鹏教授

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Reference materials for professional courses from the sophomore year of artificial intelligence major at Southeast University

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