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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
9:30   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
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