| Time | Session topic |
|---|---|
| 9:30 | Arrival |
| 10:00 | Introduction to the course |
| 10:30 | Smoother project-based collaboration (with short break) |
| 12:20 | End of session survey |
| 12:30 | Lunch |
| 13:15 | Networking and social activity |
| 13:35 | Continue previous session |
| 15:00 | Coffee break and snacks |
| 15:15 | Continue previous session |
| 16:15 | End of session survey |
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2 Schedule
The course 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. This is not a fixed schedule of the timings of each session — some may be shorter and others may be longer. Instead, it is meant to be an approximate guide and overview.
| Time | Session topic |
|---|---|
| 9:00 | Short review; Creating automatic analysis pipelines |
| 10:30 | Coffee break and snacks |
| 10:45 | Continue previous session |
| 12:20 | End of session survey |
| 12:30 | Lunch |
| 13:15 | Networking and social activity |
| 13:35 | A general approach to doing statistical analyses |
| 15:00 | Coffee break and snacks |
| 15:15 | Continue previous session |
| 16:15 | End of session 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 |
| 12:20 | End of session survey |
| 12:30 | Lunch |
| 13:15 | Networking and social activity |
| 13:35 | 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 session and course survey |