Difference between revisions of "Algorithms for the Love of It"

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(Learning Tips)
(emphasize prior preparation)
 
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= Learning Tips =  
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= Highly Suggested Learning Preparation =  
  
* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
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* If you come from a developers' bootcamp / didn't-study-Computer-Science-in-school background....., a big mistake many people like yourselves make is diving into a college-level Algorithms class first. I think it's much wiser to obtain a 500-900 page basic Data Structures Computer Science book, watch an online course on Coursera, and then augment that with the more comprehensive Algorithms course available on MIT.
* Memorization is very important - do not believe otherwise!
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* Memorization is '''very''' important - do not believe otherwise!
* If you come from a developer bootcamp / didn't study computer science in school background - a big mistake many people make is diving into a college level algorithms class first. I think it's wise to get a 500-900 page basic Data Structures computer science book, watch an online course on Coursera, then augment that with the more comprehensive algorithms course available on MIT.  
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* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - '''always always''' try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
  
 
Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]
 
Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Latest revision as of 23:24, 8 August 2015

Because we love Computer Science!


Highly Suggested Learning Preparation[edit]

  • If you come from a developers' bootcamp / didn't-study-Computer-Science-in-school background....., a big mistake many people like yourselves make is diving into a college-level Algorithms class first. I think it's much wiser to obtain a 500-900 page basic Data Structures Computer Science book, watch an online course on Coursera, and then augment that with the more comprehensive Algorithms course available on MIT.
  • Memorization is very important - do not believe otherwise!
  • It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!

Formerly algorithms study group affiliated with women who code

Misc[edit]