Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
Aims
This module will introduce students to various issues related to enhancing reproducibility in research. The module will be a combination of content-based material (outlining current issues around reproducibility, delivered via synchronous and asynchronous material) together with hands-on experience with tools to aid reproducibility (such as analysis in R and reproducible report-writing using markdown).
Intended Learning Outcomes
describe and explain a range of threats to reproducibility in research and a range of proposed solutions to these threats: 1identify and evaluate the key issues relating to reproducibility relevant to the students' primary area of research: 1conduct data processing and simple analyses / visualisations using an open-source statistical programming language: 1use open-source software tools to produce a reproducible report of data analysis: 1
- 24 hours of scheduled teaching (interactive, discussion-based etc.)- 24 hours of guided asynchronous learning (roughly 1 hour per week for content preparation, and 1 hour per week on learning and practicing with R and R markdown)- 102 hours preparing the Reproducible analysis report
Description of Module Assessment