Course Schedule

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Week Date Mode Topic Assignment Slide
1 3/3(Thu) Online  Lecture 1. Introduction
2 3/8(Tue) Hybrid  Lecture 2. Intelligent Agents
3/10(Thu) Hybrid  Lecture 3. Problem-Solving Agents
3 3/15(Tue) Hybrid  Lecture 4. Search in Complex Environments
3/17(Thu) Online  Lecture 5. Knowledge-Based Agents
4 3/22(Tue) Online  Lecture 5. Knowledge-Based Agents 2
3/24(Thu) Video  Lecture 6. Logical Inference
5 3/29(Tue) Video  Lecture 7. Rule-based Systems
3/31(Thu) Video  Lecture 8. Knowledge Representation
6 4/5(Tue) Video  Lecture 9. Automated Planning
4/7(Thu) Video  Lecture 10. Uncertainty, Probability, Information
7 4/12(Tue) Video  Lecture 11. Probabilistic Reasoning
4/14(Thu) Online  Tutorial 1. Scientific computing with Python
8 4/19(Tue) Online  Tutorial 2. Bayesian Networks
4/21(Thu) Offline  Midterm Exam (Assignment 1~5)
9 4/26(Tue) None  Project 1 Presentation
4/28(Thu) Hybrid  Lecture 12. Temporal Reasoning
10 5/3(Tue) Hybrid  Lecture 13. Utility-Based Agents
5/5(Thu) -  Holiday
11 5/10(Tue) Video  Lecture 14. Probabilistic Programming
5/12(Thu) Video  Lecture 15. Machine Learning
 Project 2 Announcement
12 5/17(Tue) Video  Lecture 16. Deep Learning
5/19(Thu) Online  Tutorial 3. Deep Neural Networks
13 5/24(Tue) Online  Tutorial 4. Advanced Deep Learning
5/26(Thu) Hybrid  Lecture 17. Reinforcement Learning
14 5/31(Tue) Hybrid  Lecture 18. Language
6/2(Thu) Hybrid  Lecture 19. Vision
15 6/7(Tue) Video  Lecture 20. Robotics
6/9(Thu) Hybrid  Lecture 21. Human-Level AI
16 6/14(Tue) Offline  Final exam (Assignment 6~10)
6/16(Thu) None  Project 2 Presentation