2 Schedule
The course is structured as a series of participatory live-coding sessions (instructor and learners coding together) interspersed with hands-on exercises 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 |
---|---|
9:30 | Arrival; Coffee and snacks |
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 |
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 | Team project work |
14:45 | Coffee break and snacks |
15:00 | Continue team project work |
16:00 | Closing remarks |
16:15 | End of course survey |