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Showing below up to 100 results in range #201 to #300.

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  1. Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 3‏‎ (19:38, 25 January 2017)
  2. Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 4‏‎ (19:50, 25 January 2017)
  3. Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 4‏‎ (15:30, 26 January 2017)
  4. Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 5‏‎ (01:00, 1 February 2017)
  5. Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 5‏‎ (00:35, 3 February 2017)
  6. Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 6‏‎ (07:54, 7 February 2017)
  7. Statistics and Statistical Programming (Winter 2017)/List of student git repositories‏‎ (21:35, 7 February 2017)
  8. Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 6‏‎ (04:06, 8 February 2017)
  9. Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 7‏‎ (04:40, 16 February 2017)
  10. Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 7‏‎ (00:53, 17 February 2017)
  11. Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 8‏‎ (02:40, 17 February 2017)
  12. Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 8‏‎ (23:24, 19 February 2017)
  13. Statistics and Statistical Programming (Winter 2017)‏‎ (05:19, 11 March 2017)
  14. Community Data Science Course (Spring 2017)/Day 1 Exercise‏‎ (02:02, 31 March 2017)
  15. Community Data Science Course (Spring 2017)/DataSources‏‎ (03:47, 31 March 2017)
  16. Community Data Science Course (Spring 2017)/Day 2 Coding Challenges‏‎ (03:52, 6 April 2017)
  17. Community Data Science Course (Spring 2017)/Day 2 Lecture‏‎ (00:59, 7 April 2017)
  18. Community Data Science Course (Spring 2016)/Day 3 Notes‏‎ (23:07, 12 April 2017)
  19. Community Data Science Course (Spring 2017)/Day 3 Coding Challenges‏‎ (04:31, 14 April 2017)
  20. Community Data Science Course (Spring 2016)/Day 4 Notes‏‎ (14:52, 20 April 2017)
  21. Community Data Science Course (Spring 2017)/Day 4 Notes‏‎ (04:14, 21 April 2017)
  22. OpenSym2017/Invitation to PC‏‎ (02:06, 23 April 2017)
  23. Community Data Science Course (Spring 2017)/Day 5 Notes‏‎ (23:28, 2 May 2017)
  24. Community Data Science Course (Spring 2017)/Day 6 Notes‏‎ (04:41, 4 May 2017)
  25. Community Data Science Course (Spring 2017)/Day 7 Notes‏‎ (04:13, 11 May 2017)
  26. Community Data Science Course (Spring 2017)/Day 7 Exercise‏‎ (05:06, 11 May 2017)
  27. Community Data Science Course (Spring 2017)‏‎ (01:05, 26 May 2017)
  28. OpenSym2017/Invitation to respond‏‎ (18:29, 19 June 2017)
  29. OpenSym2017/Post-response letter to PC‏‎ (19:41, 19 June 2017)
  30. OpenSym2017/Camera ready deadline extension‏‎ (23:04, 19 July 2017)
  31. Maps of organizational inquiry‏‎ (19:33, 22 July 2017)
  32. HCDS (Fall 2017)/Readings‏‎ (18:49, 8 August 2017)
  33. HCDS (Fall 2017)/Day 1 plan‏‎ (21:06, 21 September 2017)
  34. HCDS (Fall 2017)/Day 9 plan‏‎ (23:05, 21 September 2017)
  35. HCDS (Fall 2017)/Bib‏‎ (19:25, 24 September 2017)
  36. HCDS (Fall 2017)/Day 10 plan‏‎ (03:01, 27 September 2017)
  37. HCDS (Fall 2017)/Day 11 plan‏‎ (03:03, 27 September 2017)
  38. HCDS (Fall 2017)/Day 2 plan‏‎ (06:23, 2 October 2017)
  39. HCDS (Fall 2017)/Day 5 plan‏‎ (21:34, 5 October 2017)
  40. HCDS (Fall 2017)/Day 3 plan‏‎ (02:30, 8 October 2017)
  41. HCDS (Fall 2017)/Programming resources‏‎ (19:12, 14 October 2017)
  42. HCDS (Fall 2017)/Day 4 plan‏‎ (21:52, 16 October 2017)
  43. HCDS (Fall 2017)/Day 6 plan‏‎ (18:46, 28 October 2017)
  44. HCDS (Fall 2017)/Day 7 plan‏‎ (02:38, 15 November 2017)
  45. HCDS (Fall 2017)/Day 8 plan‏‎ (02:38, 15 November 2017)
  46. BYOR‏‎ (20:26, 1 December 2017)
  47. Innovation Communities (Fall 2017)‏‎ (02:44, 6 December 2017)
  48. HCDS (Fall 2017)/Assignments‏‎ (03:00, 6 December 2017)
  49. HCDS (Fall 2017)/Schedule‏‎ (21:35, 8 December 2017)
  50. Matchmaking social scientists and community organizations‏‎ (02:46, 21 February 2018)
  51. Linux set up Python‏‎ (01:44, 5 April 2018)
  52. Tor and Wikipedia‏‎ (18:00, 9 April 2018)
  53. Free Deals and Reduced Meals‏‎ (06:15, 17 April 2018)
  54. Join cdsc‏‎ (17:27, 27 April 2018)
  55. DYR‏‎ (00:30, 13 June 2018)
  56. Community Stages Terminology‏‎ (19:59, 6 July 2018)
  57. User level edits‏‎ (02:09, 27 July 2018)
  58. HCDS (Fall 2017)‏‎ (18:21, 8 August 2018)
  59. Sneha's Dissertation Timeline‏‎ (21:51, 14 September 2018)
  60. HCDS (Fall 2018)/Day 11 plan‏‎ (23:44, 16 September 2018)
  61. HCDS (Fall 2018)/Day 1 plan‏‎ (20:54, 23 September 2018)
  62. HCDS (Fall 2018)/Day 2 plan‏‎ (22:53, 30 September 2018)
  63. HCDS (Fall 2018)/Day 7 plan‏‎ (23:40, 30 September 2018)
  64. HCDS (Fall 2018)/Day 3 plan‏‎ (21:01, 10 October 2018)
  65. HCDS (Fall 2018)/Day 4 plan‏‎ (22:00, 14 October 2018)
  66. Human Centered Data Science (Fall 2018)/Assignments‏‎ (19:24, 22 October 2018)
  67. HCDS (Fall 2018)/Day 5 plan‏‎ (21:23, 23 October 2018)
  68. HCDS (Fall 2018)/Day 6 plan‏‎ (00:18, 31 October 2018)
  69. HCDS (Fall 2018)/Day 8 plan‏‎ (01:11, 13 November 2018)
  70. Human Centered Data Science (Fall 2018)/Schedule‏‎ (19:27, 19 December 2018)
  71. Human Centered Data Science (Fall 2018)‏‎ (21:55, 2 January 2019)
  72. UW COM Holiday Party (Win 2019)‏‎ (23:00, 9 January 2019)
  73. Zooniverse research (2016-2017 archive)‏‎ (14:54, 25 January 2019)
  74. Zooniverse research‏‎ (15:08, 25 January 2019)
  75. MTurk Workshop (CASBS 2019)‏‎ (19:53, 8 March 2019)
  76. MTurk Workshop (CASBS 2019)/Notes‏‎ (20:00, 8 March 2019)
  77. Sociotechnocanonicon/2018 Schedule‏‎ (20:29, 9 March 2019)
  78. Community Data Science Course (Spring 2019)/DataSources‏‎ (22:22, 2 April 2019)
  79. Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 1‏‎ (19:29, 3 April 2019)
  80. Community Data Science Course/Day 1 Exercise‏‎ (01:56, 4 April 2019)
  81. Community Data Science Course (Spring 2017)/Day 1 Tutorial‏‎ (03:40, 4 April 2019)
  82. Community Data Science Course/Day 1 Tutorial‏‎ (04:40, 4 April 2019)
  83. Statistics and Statistical Programming (Spring 2019)/Session plan: Week 1‏‎ (13:43, 4 April 2019)
  84. Community Data Science Course (Spring 2019)/Day 2 Coding Challenges‏‎ (00:44, 7 April 2019)
  85. Statistics and Statistical Programming (Spring 2019)/R lecture outline: Week 3‏‎ (19:07, 7 April 2019)
  86. Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 2‏‎ (20:53, 10 April 2019)
  87. Community Data Science Course (Spring 2019)/Day 2 Lecture‏‎ (02:11, 11 April 2019)
  88. Statistics and Statistical Programming (Spring 2019)/Session plan: Week 2‏‎ (14:08, 11 April 2019)
  89. Community Data Science Course (Spring 2019)/Day 3 Coding Challenges‏‎ (01:20, 15 April 2019)
  90. Practice of scholarship (Spring 2019)/week 3 session plan‏‎ (14:55, 15 April 2019)
  91. Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 3‏‎ (17:20, 15 April 2019)
  92. Community Data Science Course (Spring 2019)/Day 3 Notes‏‎ (19:13, 16 April 2019)
  93. Statistics and Statistical Programming (Spring 2019)/Session plan: Week 3‏‎ (20:01, 17 April 2019)
  94. Statistics and Statistical Programming (Spring 2019)/Quest at Northwestern‏‎ (16:04, 19 April 2019)
  95. Practice of scholarship (Spring 2019)/week 4 session plan‏‎ (14:09, 22 April 2019)
  96. Statistics and Statistical Programming (Spring 2019)/Session plan: Week 4‏‎ (19:04, 24 April 2019)
  97. Community Data Science Course (Spring 2019)/Day 4 Coding Challenges‏‎ (04:14, 25 April 2019)
  98. Practice of scholarship (Spring 2019)/week 5 session plan‏‎ (02:31, 29 April 2019)
  99. Community Data Science Course (Spring 2019)/Day 5 Notes‏‎ (21:40, 30 April 2019)
  100. Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 5‏‎ (14:03, 1 May 2019)

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