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2 Schedule
The workshop is structured as a series of participatory live-coding sessions (instructor and learner coding together) interspersed with hands-on exercises, all with using a real-world, open dataset. There are few lectures, only given at the start and end of the workshop. The general schedule outline is shown in the below table.
Time | Session topic |
---|---|
9:30 | Arrival; coffee and snacks |
10:00 | Introduction to the course |
10:30 | Smoother project-based collaboration (with short break) |
12:30 | Lunch |
13:30 | Networking and social activity |
13:50 | Continue previous session |
15:00 | Coffee break and snacks |
15:15 | Continue previous session |
16:15 | End of day survey |
Time | Session topic |
---|---|
9:00 | Short review; Creating automatic analysis pipelines |
10:30 | Coffee break and snacks |
10:45 | Continue previous session |
12:30 | Lunch |
13:30 | Networking and social activity |
13:50 | A general approach to doing statistical analyses |
15:00 | Coffee break and snacks |
15:15 | Continue previous session |
16:15 | End of day survey |
Time | Session topic |
---|---|
9:00 | Short review; Efficiently running many analyses at once |
10:30 | Coffee break and snacks |
10:45 | Continue previous session |
12:30 | Lunch |
13:30 | Networking and social activity |
13:50 | Publicizing your analyses with a website |
14:45 | Coffee break and snacks |
15:00 | Continue previous session |
16:00 | Closing remarks |
16:15 | End of day survey |