When solving algorithm problems, if we say you go through some idea -> implementation, this lecture seems to be trying to teach 'how to think about ideas' and 'what order to think in'. However, while thinking about ideas and implementing them aren't completely separate, the proportion covering implementation seems to fall short. I don't know how my thoughts might change after listening to additional parts, but I felt like the intermediate steps were lacking. The flow and ideas explained in the lecture are definitely good, and if you just take those parts, it's a good lecture, but I think it's insufficient to start and finish with just this one lecture.
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It's difficult to listen to when you're first starting. You'll probably need to use AI in parallel as well.
However, I think you need to focus on 'the content it's trying to explain'.
If you focus on the content it's trying to explain and fill in the rest through other methods, it's definitely a lecture that can save you a lot of time.
