Reproducible Research | Archived

The course is taught as part of the Data Science and Quantitative Finance programmes, with some differences between the two versions. It covers the topics of reproducibility in research, as well as repetition and replication. This includes the importance of reproducibility, as well as how to achieve it and what tools might come in handy. The covered topics include, i.a.:

– The importance of reproducibility and replication.

– Working with Git and GitHub.

– Remote repositories.

– Code documentation.

– Writing in a clean and precise manner.

– AI use cases.

– Automated reports (Quarto and Markdown).

– Reproducible environments.

– Linux shell.

– Cloud environments.

In years 2020/21, 2021/22, 2022/23 it has been coordinated by Wojciech Hardy, with topics split between different lecturers.