Detailed review of MIT's OCW course "Introduction to Algorithms", Part I: Analysis of Algorithms and Asymptotic Notation(catonmat.net)
catonmat.net
Detailed review of MIT's OCW course "Introduction to Algorithms", Part I: Analysis of Algorithms and Asymptotic Notation
http://www.catonmat.net/blog/mit-introduction-to-algorithms-part-one/
13 comments
For anyone else interested in downloading MIT lectures, I wrote a way to do it without using realplayer.
http://www.pchristensen.com/blog/articles/ripping-and-encodi...
http://www.pchristensen.com/blog/articles/ripping-and-encodi...
Just download the files direct:
http://mit-ocw-thai.eng.chula.ac.th/OcwWeb/Global/OCWHelp/he...
http://mit-ocw-thai.eng.chula.ac.th/OcwWeb/Global/OCWHelp/he...
That still leaves you with a .rm file. Also, my method works on .rm streams that don't offer you a download option like MIT does.
[deleted]
However, Charles Leiserson is a pedantic douche.
Very nice, especially the idea to share your lecture notes. The best way to really learn a subject is to teach others...
there is lots of content (mit open courseware, lectures from many universities in iTunes, free books being released online) available for self-learners.
is there a "virtual university/classroom" website that helps different people to study together?
something simple & free -- like craigslist.
is there a "virtual university/classroom" website that helps different people to study together?
something simple & free -- like craigslist.
if it doesn't exist already, its a good idea for a startup.
I'd like to hear more about the projects this guy works on. I recall he wrote a command line tool for navigating HN.
Great quote from his blog: "There are only two industries in which customers are called 'users' ".
I watched these for one of my classes but I sould of just bought the book instead.
A few random comments:
* It is a good idea to download the course materials from http://ocw.mit.edu/ans15436/ZipForEndUsers/6/6-046JFall-2005...
* The video lectures can be downloaded if you hack the URLs a bit. Full instructions at: http://amazingstuffs.blogspot.com/2007/10/download-data-stru..., but it doesn't bode well if you can't figure it out for yourself
* The math gets significantly less heavy after the first few lectures. If you get lost, plow ahead and revisit the first few lectures after you've gotten further.
* Erik Demaine rocks. He went straight to the top of my list of "computer scientists I'd like to have a beer with sometime..."
* I found the discussions of Red-Black Trees and the graph theory "trilogy" to be especially enjoyable, but that could just be me.