This link has been bookmarked by 151 people . It was first bookmarked on 20 Aug 2008, by Ankit Chaturvedi.
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I am just going through these lectures myself (haven't finished them yet, though). My approach is a little bit different.
Aside from traditional lecture notes, I put the information in a spaced repetition system like Mnemosyne (there are a few others but this one works great for me).
This thing tells me exactly when to review my notes. I make the flashcards on the fly as I watch the lectures.
The advantage is that I can take for example a longer break from watching the lectures (if for example you don't have time) and as long as you do your repetitions, you will be able to go back right where you left off.
I always had trouble previously because after watching 2-3 lectures, I had to interrupt for some reason or another and then start over from the beginning to make sure I remember everything.
You also have the added bonus of always keeping 90% of the knowledge in the lecture inside your head.
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Javier NeiraI just finished watching the last lecture of MIT's Introduction to Algorithms course. Having a great passion for all aspects ...
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Kathleen NMIT’s Introduction to Algorithms, Lectures 1 and 2: Analysis of Algorithms MIT’s Introduction to Algorithms, Lectures 1 and 2: Analysis of Algorithms
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Geoff NI just finished watching the last lecture of MIT's Introduction to Algorithms course. Having a great passion for all aspects ...
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bob dolanUnderstanding and designing effective algorithms is a very important skill for a top-notch programmer. You can still do good without knowing much about algorithms, but knowing them makes you superior. There are two kinds of people, those who can design ef
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MIT’s Introduction to Algorithms: Lectures 1 and 2
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gavino anglecture of MIT’s “Introduction to Algorithms” course. Having a great passion for all aspects of computing, I decided to share everything I learned with you, my dear readers! This is the first post in an article series about this course.
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