mentionsnumericalsolutionrepeatssomethinghe saidsomeonefallsasleepadjuststheblindssays"rascal"comments onhow he reallywants tomake sure weunderstandmentionsmachinelearninghas a figurepertaining togeneticalgorithmsquigglesdrawsa ballmentionsanalyticalsolutioncommentson thepacedrawsa planerepeatsadiagrammentionssomethingfancy thatwe will notdoshadessomethingindrawsanarrowrefersto thenotescommentson othercourses thatwe couldtakethat one spielhe alwaysgives aboutgeneticalgorithmemphasizesthatsomethingis a vectorasks forquestionssays"geneticalgorithm"says welearned itin math53/54mentionsnumericalsolutionrepeatssomethinghe saidsomeonefallsasleepadjuststheblindssays"rascal"comments onhow he reallywants tomake sure weunderstandmentionsmachinelearninghas a figurepertaining togeneticalgorithmsquigglesdrawsa ballmentionsanalyticalsolutioncommentson thepacedrawsa planerepeatsadiagrammentionssomethingfancy thatwe will notdoshadessomethingindrawsanarrowrefersto thenotescommentson othercourses thatwe couldtakethat one spielhe alwaysgives aboutgeneticalgorithmemphasizesthatsomethingis a vectorasks forquestionssays"geneticalgorithm"says welearned itin math53/54

e - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. mentions numerical solution
  2. repeats something he said
  3. someone falls asleep
  4. adjusts the blinds
  5. says "rascal"
  6. comments on how he really wants to make sure we understand
  7. mentions machine learning
  8. has a figure pertaining to genetic algorithm
  9. squiggles
  10. draws a ball
  11. mentions analytical solution
  12. comments on the pace
  13. draws a plane
  14. repeats a diagram
  15. mentions something fancy that we will not do
  16. shades something in
  17. draws an arrow
  18. refers to the notes
  19. comments on other courses that we could take
  20. that one spiel he always gives about genetic algorithm
  21. emphasizes that something is a vector
  22. asks for questions
  23. says "genetic algorithm"
  24. says we learned it in math 53/54