If you find any typos, errors, or places where the text may be improved, please let us know by providing feedback either in the feedback survey (given during class) or by using GitHub.
On GitHub open an issue or submit a pull request by clicking the " Edit this page" link at the side of this page.
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 |
---|---|
9:30 | 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 | TBD |
14:45 | Coffee break and snacks |
15:00 | TBD |
16:00 | Closing remarks |
16:15 | End of course survey |