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 |
---|---|
9:30 | Arrival; Coffee and light breakfast |
10:00 | Introduction to the course |
10:30 | Management of R projects (with short break) |
12:20 | End of session short survey |
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 |
16:30 | End of session short survey |
Time | Session topic |
---|---|
9:00 | Data management and wrangling |
10:15 | Break with coffee, team and snacks |
10:30 | Data management and wrangling (with short break) |
12:20 | End of session short survey |
12:30 | Lunch |
13:15 | Networking and social activity |
13:35 | Creating reproducible documents |
14:45 | Break with coffee and snacks |
15:00 | Creating reproducible documents |
16:30 | [End of session short survey |
Time | Session topic |
---|---|
9:00 | Data visualizations |
10:15 | Break with coffee and snacks |
10:30 | Data visualizations (with short break) |
12:20 | End of session short survey |
12:30 | Lunch |
13:15 | Group work (with break) |
16:00 | Testing reproducibility of projects |
16:10 | Closing remarks |
16:30 | End of course short survey and farewell |