I stopped going to class around Week 2, because it's just impossible to stay awake with his teaching. Most topics can be learned from the slides, but I struggled with reasoning under uncertainty and after. Homeworks were from past quarters. Midterm was also derived from past exams and is pretty simple if you're comfortable with tracing through searches, backtracking, alpha-beta pruning, and putting the rest of conceptual info on a cheat sheet. Lisp is absolute ass and I hated HW 2 and 3. The conceptual HWs on logic, 5 and 6, also sucked because you had to provide way too much work for your answers. In conclusion, take this class with Gu if you've become accustomed to learning content on your own and then suffering through homeworks alone. Shoutout to corona for saving me from taking the final.

I absolutely loved this class and felt that I learned a lot from it. I was really excited about the topics covered in this course, like constraint-satisfaction problems, all the different types of search algorithms, first-order logic, and Bayesian nets. This course really teaches you many basic and useful techniques in classical AI.

Professor Gu is truly amazing. He made the lectures interesting and gave a lot of good insights and examples on the topics. During the lecture, he always took time to slow down and made sure that all questions were answered. He also gave extra office hours when the material got harder. He is very helpful, intelligent, and truly cares about his students.

The professor did a decent job explaining the concepts of conventional AI and showing the applications of these algorithms. The first part of this class is taught with lisp, an oldish programming language, which could be replaced by some modern languages. The second part is more about logic and the professor is excellent at extending this to modern AI tasks. There are attendance quizzes helping us review. Midterm and final are easy, and the professor is helpful making accommodations. Discussion should be better to host in person, but TAs are nice explaining the requirements of the homework.

Professor is not a great lecturer and the slides/lectures are pretty boring. Somehow despite being surface-level info and overviews, they are still too "in it" to be interesting. In depth examples appear on slides in place of actually helpful overall rules.
That being said, the class is still pretty easy if you read the textbook, google the terms that come up in the assignments, and browse the slides. I didn't even watch most of the lectures.