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Introduction to Computational Thinking Project Presentations CT @ VT Project Presentations Daniel Almeida Airport Locator Robert Ashton Political Representation Zachary Barbaria Drug Usage Kyle Bentley - Hospital


  1. Introduction to Computational Thinking Project Presentations

  2. CT @ VT Project Presentations Daniel Almeida – Airport Locator  Robert Ashton – Political Representation  Zachary Barbaria – Drug Usage  Kyle Bentley - Hospital Information  Jenna Bordeaux - Early Childbearing  Brendon Cobb – Yelp Ratings  Santonio Fernandez - Exoplanets  Cameron Fite – BitTorrent Study  Lauren Fong – Horse Race Study  Alyssa Garrett – Reddit Analysis  Claire Jessie – Gendered Language Usage  Daniel Kramer – Citation Finding  Ryan McDonald – Baseball Playoffs  Joseph Muha – Medal of Honor Recipients  Emily Parker – Drug Use in Youth/Young Adults  Varsh Peddireddy – Cancer Analysis  Sage Sardelis – Housing Affordability  Nathan Sexton – Auto Fuel Efficiency  Michael Singleton – Image Analysis  Lexie Tsantes – US Teacher/Student Study  Amber Woods – Personality Tests  Joseph Zielinski – Hydropower Potential  Fall 201 2014 Slide 2

  3. CT @ VT Daniel Almeida FAA Data Stream Cohort 2 – The Fantastic 6 (more like 3 now)  Fall 201 2014 Slide 3

  4. CT @ VT Daniel Almeida The Data  Facilities  Runways  Schedules http://thevocalteacher.com/wp-content/uploads/2011/07/runway3.jpg http://www.miami-airport.com/2011/JUL02.jpg http://sheridan.ryanprice.net/dsgn18081/images/travel-board.jpg Fall 201 2014 Slide 4

  5. CT @ VT Daniel Almeida Intended Use  Based on an aircraft’s location, the software:  Finds suitable runways for emergency landing  Distance from aircraft (do we have enough fuel)?  Could get creative; use data from Airbus or Boeing, situations such as no engine landing  Or other ideas such as finding times/dates for scheduled flights, etc. Fall 201 2014 Slide 5

  6. CT @ VT Robert Ashton Fall 201 2014 Slide 6

  7. CT @ VT Robert Ashton Fall 201 2014 Slide 7

  8. CT @ VT Zachary Barbaria Fall 201 2014 Slide 8

  9. CT @ VT Zachary Barbaria Fall 201 2014 Slide 9

  10. CT @ VT Kyle Bentley Fall 201 2014 Slide 10

  11. CT @ VT Kyle Bentley Fall 201 2014 Slide 11

  12. CT @ VT Jenna Bordeaux Fall 201 2014 Slide 12

  13. CT @ VT Jenna Bordeaux Fall 201 2014 Slide 13

  14. CT @ VT Jenna Bordeaux Fall 201 2014 Slide 14

  15. CT @ VT Brendon Cobb Yelp Ratings Fall 201 2014 Slide 15

  16. CT @ VT Brendon Cobb Useful Data User submitted reviews to rate local businesses.  Helps tier businesses.  Ranges from restaurants to shop centers.  Look at the best businesses to see what makes them successful.  Fall 201 2014 Slide 16

  17. CT @ VT Brendon Cobb Possible Uses  Creates a database ranking the best shops and restaurants in a local area.  Could be used by tourists to know where the best places to go during their visit.  Would allow customers to have the best experience from the beginning.  Can also be used to see how the top ranked businesses are doing so well so new or old businesses could try to adopt a similar structure. Fall 201 2014 Slide 17

  18. CT @ VT Santonio Fernandez Fall 201 2014 Slide 18

  19. CT @ VT Santonio Fernandez Fall 201 2014 Slide 19

  20. CT @ VT Santonio Fernandez Fall 201 2014 Slide 20

  21. CT @ VT Cameron Fite Fall 201 2014 Slide 21

  22. CT @ VT Cameron Fite Fall 201 2014 Slide 22

  23. CT @ VT Cameron Fite Fall 201 2014 Slide 23

  24. CT @ VT Lauren Fong Fall 201 2014 Slide 24

  25. CT @ VT Lauren Fong Fall 201 2014 Slide 25

  26. CT @ VT Lauren Fong Fall 201 2014 Slide 26

  27. CT @ VT Alyssa Garrett Fall 201 2014 Slide 27

  28. CT @ VT Alyssa Garrett Fall 201 2014 Slide 28

  29. CT @ VT Claire Jessie The Idea : To study how scripts/ pieces of literature use different  language for each sex. words=data Fall 201 2014 Slide 29

  30. CT @ VT Claire Jessie The Source: Fiction and what not  scripts  novels  (maybe) other media Fall 201 2014 Slide 30

  31. CT @ VT Daniel Kramer What is Project Gutenberg  Project Gutenberg offers 50,000+ ebooks to download or read online.  Michael Hart, the founder of Gutenberg also invented the eBook and designed this website to encourage readers from anywhere in the world. Fall 201 2014 Slide 31

  32. CT @ VT Daniel Kramer Fall 201 2014 Slide 32

  33. CT @ VT Daniel Kramer Features/Uses  As you can see, Gutenberg has a catalog, separation by genre, different languages, mobile site, etc.  With the amount of books the Gutenberg has and the resources it gives you to find them, using a data stream from Gutenberg could be very useful to college students.  When writing a research paper, in the English Major, finding excerpts from books isn’t the toughest thing in the world, but finding their exact page number and citation information could get cumbersome. Making an application to pull a book’s info straight from the website and cite it automatically would save research writers a lot of time. Fall 201 2014 Slide 33

  34. CT @ VT Ryan McDonald Fall 201 2014 Slide 34

  35. CT @ VT Ryan McDonald Fall 201 2014 Slide 35

  36. CT @ VT Ryan McDonald Fall 201 2014 Slide 36

  37. CT @ VT Joseph Muha My Data Stream/Project Fall 201 2014 Slide 37

  38. CT @ VT Joseph Muha My Data Stream  Congressional Medal of Honor archive  http://www.cmohs.org/recipient-archive.php  Each Recipients Information  Name  Branch  Home town  Where Awarded MOH Fall 201 2014 Slide 38

  39. CT @ VT Joseph Muha My Project  Map the information by plotting dot on a world map  Add search to only show certain dots  Link dots back to the archive Fall 201 2014 Slide 39

  40. CT @ VT Emily Parker Monitoring the Future Data Stream Fall 201 2014 Slide 40

  41. CT @ VT Emily Parker What is it?  Ongoing study of the behaviors, attitudes, and values of secondary school students, college students, and young adults.  Repeated series of surveys in which the same segments of the population are presented with the same questions over a period of years and see how the answers change. Fall 201 2014 Slide 41

  42. CT @ VT Emily Parker What Interested me about this data stream?  Interested to see the trends in drug use among the younger population  Help me in my future career as a counseling psychologist  Interested in behaviors and attitudes as a result of drug use Fall 201 2014 Slide 42

  43. CT @ VT Emily Parker What kind of problem could you solve with this data?  Reduce crime  Reduce accidents  Change beliefs, attitudes, and behaviors of young people in the United States.  Protection of the environment  Monitor progress toward national health goals Fall 201 2014 Slide 43

  44. CT @ VT Varsh Peddireddy Fall 201 2014 Slide 44

  45. CT @ VT Varsh Peddireddy Fall 201 2014 Slide 45

  46. CT @ VT Varsh Peddireddy Fall 201 2014 Slide 46

  47. CT @ VT Sage Sardelis Fall 201 2014 Slide 47

  48. CT @ VT Sage Sardelis Fall 201 2014 Slide 48

  49. CT @ VT Sage Sardelis Fall 201 2014 Slide 49

  50. CT @ VT Nathan Sexton Fall 201 2014 Slide 50

  51. CT @ VT Nathan Sexton Fall 201 2014 Slide 51

  52. CT @ VT Michael Singleton Fall 201 2014 Slide 52

  53. CT @ VT Michael Singleton Fall 201 2014 Slide 53

  54. CT @ VT Michael Singleton Fall 201 2014 Slide 54

  55. CT @ VT Lexie Tsantes Fall 201 2014 Slide 55

  56. CT @ VT Lexie Tsantes Fall 201 2014 Slide 56

  57. CT @ VT Lexie Tsantes Fall 201 2014 Slide 57

  58. CT @ VT Amber Woods Fall 201 2014 Slide 58

  59. CT @ VT Amber Woods Fall 201 2014 Slide 59

  60. CT @ VT Amber Woods Fall 201 2014 Slide 60

  61. CT @ VT Amber Woods Fall 201 2014 Slide 61

  62. CT @ VT Joseph Zielinski Fall 201 2014 Slide 62

  63. CT @ VT Joseph Zielinski Fall 201 2014 Slide 63

  64. CT @ VT Joseph Zielinski Fall 201 2014 Slide 64

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