Mathematics for Computer Science - Lecture Notes
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Re: Mathematics for Computer Science - Lecture Notes
#2Good find. Note that the Fall2005 offering includes solutions to the assignments and in-class problems while Spring2005, the one linked, does not.
http://ocw.mit.edu/courses/electrical-engineering-and-comput...
Re: Mathematics for Computer Science - Lecture Notes
#3are there any lecture videos available for this course?
Re: Mathematics for Computer Science - Lecture Notes
#4This is useful, but pretty standard undergrad material. There are more interesting OCW courses, such as Street Fighting Mathematics:
This course teaches the art of guessing results and solving problems without doing a proof or an exact calculation. Techniques include extreme-cases reasoning, dimensional analysis, successive approximation, discretization, generalization, and pictorial analysis. Applications include mental calculation, solid geometry, musical intervals, logarithms, integration, infinite series, solitaire, and differential equations. (No epsilons or deltas are harmed by taking this course.)
http://ocw.mit.edu/courses/mathematics/18-098-street-fightin...
Re: Mathematics for Computer Science - Lecture Notes
#5Mathematics gets way more attention than it deserves in computing -- particularly with today's sophisticated libraries/frameworks.
Just because a topic can be challenging doesn't automatically make it worthwhile.
This is a trap that many people fall into.
Re: Mathematics for Computer Science - Lecture Notes
#6Mathematics gets way more attention than it deserves in computing -- particularly with today's sophisticated libraries/frameworks. Just because a topic can be challenging doesn't automatically make it worthwhile. This is a trap that many people fall into.
I think the more common trap, into which you appear to have fallen, is thinking that computer science and software engineering are the same thing.
Re: Mathematics for Computer Science - Lecture Notes
#7This is useful, but pretty standard undergrad material. There are more interesting OCW courses, such as Street Fighting Mathematics: This course teaches the art of guessing results and solving problems without doing a proof or an exact calculation. Techniques include extreme-cases reasoning, dimensional analysis, successive approximation, discretization, generalization, and pictorial analysis. Applications include me…
cool, are there any vids for this course?
Re: Mathematics for Computer Science - Lecture Notes
#8I have always been intimidated by college level math and secretly wished I was smarter to not just understand, but to enjoy it as so many people seemingly do. I tried but failed to attain that level of proficiency multiple times.
The mistake I was making was that I was trying to read lectures/blogs/books recommended by random people who knew nothing about me. It doesn't work. The thing is: math is big. It's HUGE, it's a whole world with something for everyone, and not everything in there excites me. I discovered this by accident by picking an easy and fun book about cryptography called (I think it was called The Code) - it was fascinating, it took me to wikipedia and I started to explore this world following my own interests And then it clicked: suddenly even "boring" aspects of math showed me their exciting sides.
Re: Mathematics for Computer Science - Lecture Notes
#9I have always been intimidated by college level math and secretly wished I was smarter to not just understand, but to enjoy it as so many people seemingly do. I tried but failed to attain that level of proficiency multiple times. The mistake I was making was that I was trying to read lectures/blogs/books recommended by random people who knew nothing about me. It doesn't work. The thing is: math is big. It's HUGE, it'…
Yeah, somewhat a really good teacher helps students to like what they need to learn.. that make a huge difference. When you want to learn it because you like that, everything become easy.
Re: Mathematics for Computer Science - Lecture Notes
#10I have always been intimidated by college level math and secretly wished I was smarter to not just understand, but to enjoy it as so many people seemingly do. I tried but failed to attain that level of proficiency multiple times. The mistake I was making was that I was trying to read lectures/blogs/books recommended by random people who knew nothing about me. It doesn't work. The thing is: math is big. It's HUGE, it'…
Is the book you were referring to "The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography" by Simon Singh?
Amazon link - http://amzn.to/dlNAeO
It's on my reading shelf right now, but I have not gotten around to reading it. I think your comment just might make that happen. Thanks for the recommendation