Eligibility: Tong class students only
Availability: Offered every semester
Instructor Information
- Name: Yixin Zhu
- Email: [email protected]
- Office Hours: By appointment (email only; no WeChat)
- Office Location: 王克桢楼1905
TA Information
- Name: Chang Pan (TA), Wanhe Yu (TA), Yida Niu (Web Master)
- Email: [email protected], [email protected]
- Office Hours: Fridays, 18:30–19:30, 王克桢楼1904
Course Overview
This course is designed to introduce students to the fundamentals of research in Artificial Intelligence (AI) systems. Students will gain hands-on experience by working on research projects across various AI domains.
Plagiarism
- Please refer to the plagiarism page for details.
Errata/Typo
- Please contact the instructor or TA
Objectives
By the end of this course, students will:
- Understand the principles and methodologies of AI research
- Gain practical experience in conducting research projects
- Develop critical thinking and problem-solving skills in AI domains
- Learn to analyze and interpret research findings
- Enhance ability to communicate research results effectively
- Acquire skills in academic writing and LaTeX
- Understand the importance of research collaboration and academic integrity
Weekly Schedule
- Week 1 [03.04] Course Logistics, Introduction to Research, Academic Writing, and Ethics, Yixin Zhu, PKU
- Week 2 [03.11] Module 0: Programming Best Practices, Chi Zhang, PKU
- Week 3 [03.18] Module 1: Machine Learning, Muhan Zhang, PKU
- Week 4 [03.25] Module 2: Computer Vision, Siyuan Huang, BIGAI
- Week 5 [04.01] Module 3: Cognitive Reasoning, Yixin Zhu, PKU
- Week 6 [04.08] Module 4: Robotics, Yixin Zhu, PKU
- Week 7 [04.15] Module 5: Natural Language Processing, Zilong Zheng, BIGAI
- Week 8 [04.22] Module 6: AI Hardware and Acceleration, Xiyuan Tang and Yaoyu Tao, PKU
- Week 9 [04.29] Module 7: Multi-Agent Systems, Yaodong Yang, PKU
- Week 10 [05.06] Module 8: TongLab, Bo Chen, BIGAI
- Week 10-14 [05.02-06.07] Devise Your Project, Yixin Zhu, Chi Zhang, Muhan Zhang, Yaodong Yang, Xiyuan Tang, and Yaoyu Tao
- Week 15-16 [06.08-06.22] Write Project Report, Yixin Zhu, Chi Zhang, Muhan Zhang, Yaodong Yang, Xiyuan Tang, and Yaoyu Tao
Assessment
- Attendance: 10%
- Weekly Assignments: 60%
- You have to finish at least 8 weekly assignments out of 9. If you choose to finish all, the highest 8 ones will be used for final score.
- 8 assignments include:
- 4 (chosen from 9) practice assignments (10% each)
- 4 (chosen from 8) written assignments (5% each)
- Course Project: 30%
- Project Report: 20%
- Overall Evaluation by Project Advisor: 10%
Assignments
Module 0 [Due: 2026/03/18 15:10]
Module 1 [Due: 2026/03/25 15:10]
Module 2 [Due: 2026/04/01 15:10]
Module 3 [Due: 2026/04/08 15:10]
Module 4 [Due: 2026/04/15 15:10]
Module 5 [Due: 2026/04/22 15:10]
Module 6 [Due: 2026/04/29 15:10]
Module 7 [Due: 2026/05/06 15:10]
Module 8 [Due: 2026/05/13 15:10]
Course Project [Due: 2026/06/22 23:59]