====== Week 11 ======

~~NOTOC~~


==== Tuesday ====

  * For Today:
    * A review of last week's lab. (It will be a helper file for today's lab)
    * [[https://spectrum.ieee.org/tech-history/silicon-revolution/building-the-system360-mainframe-nearly-destroyed-ibm?utm_source=pocket-newtab
|IBM article, I'm not in any of the pictures.]]
    * A lecture: Chapter 5, combinations and permutations
    * A homework assignment
    * There is also a lab tonight, based on today's lecture.    
  * {{ :courses:cs145-201951:21-combinipermuta.pptx |Combinations and Permutations}}
  * {{ :courses:cs145-201951:hw-416.txt |Homework assignment due next week. }}
    
  \\ \\
 
=== Lab files ===
  * I am posting them here and in the lab 7 wiki too!
  * {{ :courses:cs145-201951:labs:lab7.txt |The lab instructions}}
  * {{ :courses:cs145-201951:labs:lab6-solns.scm |Previous lab solution, needed as input to lab 7}}
  * {{ :courses:cs145-201951:labs:lab7-template.scm |lab 7 template file}}
  * Pierre L'Ecuyer at the University of Montreal researched pseudo random number generation
    * [[https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=2ahUKEwim0pDnxtXhAhXkzVkKHQaTD4QQFjAAegQIBhAC&url=https%3A%2F%2Fwww.iro.umontreal.ca%2F~lecuyer%2Fmyftp%2Fpapers%2Fhandstat.pdf&usg=AOvVaw2p46RwvQnbMfZsYkuWR4UE|One of his papers/pdf]]
    * [[https://planet.racket-lang.org/package-source/williams/science.plt/4/2/planet-docs/science/random-numbers.html|Details on the implementation of DrRacket's pseudo RNG]]
   
==== Thursday/Probability ====
  * From Tuesday, a brief statement about downloading files for your lab.
  * [[https://vimeo.com/87340291|Presented For Your Consideration]]
  * [[https://www.montyhallproblem.com|HW before Tuesday's class!]]
    * [[www.math.harvard.edu/~knill/oldtexas/Teaching/MA464/PUZZLES/marilyn.gameshow.html|A reference to the original problem]]
    * [[https://www.nytimes.com/1991/07/21/us/behind-monty-hall-s-doors-puzzle-debate-and-answer.html|A better reference. Probably.]]
  * {{ :courses:cs145-201951:22-probability.pptx |oh yeah... the lecture (corrections made)}}