refersto thenotessomeonefallsasleepshadessomethinginsquigglesdrawsanarrowemphasizesthatsomethingis a vectormentionsmachinelearningmentionssomethingfancy thatwe will notdohas a figurepertaining togeneticalgorithmmentionsanalyticalsolutionadjuststheblindsdrawsa ballrepeatsadiagramasks forquestionssays"rascal"commentson othercourses thatwe couldtakedrawsa planerepeatssomethinghe saidthat one spielhe alwaysgives aboutgeneticalgorithmcomments onhow he reallywants tomake sure weunderstandcommentson thepacementionsnumericalsolutionsays"geneticalgorithm"says welearned itin math53/54refersto thenotessomeonefallsasleepshadessomethinginsquigglesdrawsanarrowemphasizesthatsomethingis a vectormentionsmachinelearningmentionssomethingfancy thatwe will notdohas a figurepertaining togeneticalgorithmmentionsanalyticalsolutionadjuststheblindsdrawsa ballrepeatsadiagramasks forquestionssays"rascal"commentson othercourses thatwe couldtakedrawsa planerepeatssomethinghe saidthat one spielhe alwaysgives aboutgeneticalgorithmcomments onhow he reallywants tomake sure weunderstandcommentson thepacementionsnumericalsolutionsays"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. refers to the notes
  2. someone falls asleep
  3. shades something in
  4. squiggles
  5. draws an arrow
  6. emphasizes that something is a vector
  7. mentions machine learning
  8. mentions something fancy that we will not do
  9. has a figure pertaining to genetic algorithm
  10. mentions analytical solution
  11. adjusts the blinds
  12. draws a ball
  13. repeats a diagram
  14. asks for questions
  15. says "rascal"
  16. comments on other courses that we could take
  17. draws a plane
  18. repeats something he said
  19. that one spiel he always gives about genetic algorithm
  20. comments on how he really wants to make sure we understand
  21. comments on the pace
  22. mentions numerical solution
  23. says "genetic algorithm"
  24. says we learned it in math 53/54