| Time | Session topic |
|---|---|
| 9:30 | Arrival. Coffee and snacks |
| 10:00 | Introduction to the course |
| 10:30 | Management of R projects (with short break) |
| 12:30 | Lunch |
| 13:15 | Networking and social activity |
| 13:35 | Version control and collaborative practices |
| 14:45 | Break with coffee and snacks |
| 15:00 | Version control and collaborative practices |
| 17:00 | End-of-day short survey |
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2 Schedule
The course is structured as a series of participatory live-coding sessions interspersed with hands-on exercises and group work, using either a practice dataset or some other real-world dataset. There are some lectures given, mainly at the start and end of the course. 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 | Data management and wrangling |
| 10:15 | Break with coffee, tea, and snacks |
| 10:30 | Data management and wrangling (with short break) |
| 12:15 | Lunch |
| 13:00 | Networking and social activity |
| 13:20 | Creating reproducible documents |
| 14:45 | Break with coffee and snacks |
| 15:00 | Creating reproducible documents |
| 17:00 | End-of-day short survey |
| Time | Session topic |
|---|---|
| 9:00 | Data visualizations |
| 10:15 | Break with coffee and snacks |
| 10:30 | Data visualizations (with short break) |
| 12:15 | Lunch |
| 13:00 | Group work (with break) |
| 16:00 | Testing reproducibility of projects |
| 16:20 | Closing remarks |
| 16:45 | Short survey and farewell |