1. #1: Introduction
  2. introduction
  3. introduction(cont'd)
  4. Internet measurement and data analysis
  5. what you will learn in the class
  6. Big Data everywhere
  7. big data and Internet measurement
  8. example: anomaly detectio by sketch and statistical featurecomparison
  9. example: Internet vehicle experiments
  10. Japan Earthquake
  11. the age of data
  12. example: impact to science
  13. Google's Chief Economist Hal Varian on Statistics
  14. data analysis is merely a tool
  15. fundamental change to creative thinking process?
  16. Simpson's paradox
  17. example: UC Berkeley gender bias case in 1973
  18. self-introduction
  19. class overview
  20. class overview(cont'd)
  21. class schedule(1/4)
  22. class schedule(2/4)
  23. class schedule(3/4)
  24. class schedule(4/4)
  25. Internet measurement
  26. Internet measurement - measuring unmeasurable Internet
  27. characteristics of network data and behavior
  28. why measurement of Internet is so hard?
  29. massive volume
  30. diverse data
  31. constant change
  32. limitations of Internet measurement
  33. measurement targets
  34. broader targets
  35. possible topics to be studied in the class
  36. summary
  37. Introduction to Ruby
  38. Ruby
  39. Ruby characteristics
  40. Ruby commands
  41. exercise: a program to count text lines
  42. next class
  43. references