Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| 210 * ! | Mon, 8/5/2013, 2:00 PM - 3:50 PM | CC-510c | |
| Toward Big Data in Teaching Statistics — Invited Papers | |||
| Section on Statistical Education , SSC , Statistical Learning and Data Mining Section , Section on Statistical Graphics , Section on Statistical Computing , Section on Teaching of Statistics in the Health Sciences , Statistics Without Borders | |||
| Organizer(s): John G. Gabrosek, Grand Valley State University | |||
| Chair(s): John G. Gabrosek, Grand Valley State University | |||
| 2:05 PM | Statistical Inference at Google Scale — nicholas chamandy, Google | ||
| 2:25 PM | Introducing Science Students to Big Data — Randall Pruim, Calvin College ; Daniel Theodore Kaplan, Macalester College ; Elizabeth Shoop, Macalester College | ||
| 2:45 PM | Precursors to the Data Explosion: Teaching How to Compute with Data — Nicholas J. Horton, Smith College ; Benjamin S. Baumer, Smith College ; Daniel Theodore Kaplan, Macalester College ; Randall Pruim, Calvin College | ||
| 3:05 PM | Big Data: Does the Song Remain the Same? — Chris J. Wild, University of Auckland ; Antony Unwin, IUniversity of Augsburg | ||
| 3:25 PM | Discussant: Alexander W Blocker, Google | ||
| 3:45 PM | Floor Discussion | ||
2013 JSM Online Program Home
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