Want to help out or contribute?

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 GitLab.

On GitLab open an issue or submit a merge request by clicking the "Edit this page " link at the side of this page.

3 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.

Table 3.1: General schedule for the 3 days of the course.
Time Session topic Links
Day 1
Arrival. Coffee, tea, and snacks
10:00 Introduction to the course
10:30 Management of R projects (with short break)
12:30 Lunch
13:30 Collaboration and teamwork in research
14:00 Version control and collaborative practices
14:30 Break with coffee, tea, and snacks
15:30 Version control and collaborative practices
17:30 End-of-day short survey
Day 2
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
13:15 Research in the era of (ir)reproducibility and open science
14:00 Creating reproducible documents
14:45 Break with coffee, tea, and snacks
15:00 Creating reproducible documents
17:00 End-of-day short survey
Day 3
9:00 Data visualizations
10:15 Break with coffee, tea, and snacks
11:00 Data visualizations (with short break)
12:15 Lunch
13:15 Group work
15:30 Presentation of projects and discussions
16:45 Closing remarks and short survey
17:00 Farewell