Community Data Science Workshops (Spring 2014)/Reflections: Difference between revisions
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* '''Session 3 (Saturday May 31st)''': [[CDSW# Session 3 (Saturday May 31st)|Data analysis and visualization]] |
* '''Session 3 (Saturday May 31st)''': [[CDSW# Session 3 (Saturday May 31st)|Data analysis and visualization]] |
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Our organization and the curriculum for Sessions 0 and 1 were borrowed from the Boston Python Workshop |
Our organization and the curriculum for Sessions 0 and 1 were borrowed from the [[http://bostonpythonworkshop.com/ Boston Python Workshop]]: Session 0 was a three hour evening session to install software. The other sessions were all day-long session (10am to 4pm) sessions broken up into the following schedule: |
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* Morning, 10am-noon: A 2 hour lecture |
* '''Morning, 10am-noon''': A 2 hour lecture |
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* Lunch, noon-1pm |
* '''Lunch, noon-1pm''' |
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* Afternoon, 1pm-3:30pm: Practice working on projects in 3 breakout sessions |
* '''Afternoon, 1pm-3:30pm''': Practice working on projects in 3 breakout sessions |
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* Wrap-up, 3:30pm-4pm: Wrap-up, next steps, and upcoming opportunities |
* '''Wrap-up, 3:30pm-4pm''': Wrap-up, next steps, and upcoming opportunities |
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We did not take roll or even track how many people were present. Our feeling was that nearly every student who came to the first week (Sessions 0 and 1) came to Session 2. Retention between the second two sessions was much worse with perhaps only 60% of the full group returning for session 3. We attribute this both to poor timing (the weekend before finals at UW) and to the long space between the sessions. |
We did not take roll or even track how many people were present. Our feeling was that nearly every student who came to the first week (Sessions 0 and 1) came to Session 2. Retention between the second two sessions was much worse with perhaps only 60% of the full group returning for session 3. We attribute this both to poor timing (the weekend before finals at UW) and to the long space between the sessions. |