I'm trying to study algorithms properly, so I'm taking a lecture that focuses on concepts and is aimed at beginners, but it's not a lie, it gets harder as it goes on. The explanations are poor, so I don't understand, but I just do it, solve it, and it's over. Is this the right way...? There were many times when I didn't understand the lecture and used other blogs or GPT to understand it. It feels like that's more helpful than taking this lecture.

I was impressed by your explanation of how exhaustive search, recursion, and DP are connected in the thought process. I think the advanced lectures are suitable for starting to prepare for coding tests because they cover frequently occurring types that are good to study separately. Something that would be even better is if you could provide a list of more problems to practice, which I think would help with internalization. I haven't completed all the lectures yet, but it would be great if you could share a list of good problems to apply what I've learned!

When solving an algorithm problem, if you say that you go through some ideas and then implement them, it seems like this lecture is trying to tell you how to think about the 'ideas' and in what order to think. However, thinking about ideas and implementing them are not completely separate, but the focus on implementation seems to be lacking. I don't know how my thoughts will change after listening to the additional parts, but I think there are a lack of intermediate steps. It's definitely true that the flow and ideas explained in the lecture are good, and if you just take that part, it's a good lecture, but I think it's not enough to start and end with just this one lecture.

It's good, but there are many parts that are too harsh here and there. I think I wasted too much time trying to understand it as it was in the lecture. I wish you would explain the code a little more sincerely.

I like how you explained how to think about algorithms.