Module Aims
This core module aims to provide all students with the necessary skills and understanding to conduct research using R; from the beginning (data importing) to the end (reporting), and everything in between (cleaning, analysing, etc.). It will enable students to approach quantitative tasks within other modules across the course, their dissertation, and beyond.
Module Learning Outcomes
By the end of the module, students should be able to:
- Use GNU R Statistical Software
- Conduct a research project using R/RStudio
- Disseminate findings from a research project
- Engage in learning advanced topics beyond the module
Prerequisites
None, no prior experience of coding or statistical software is necessary.
The second half of the module (and assessment) will utilise statistical concepts from Principles of Biostatistics or Statistics for HDS, although statistics is not the focus of this module.
Teaching strategy
The module will be delivered using a combination of lectures, class discussion, small-group exercises, and computer practical. The module will provide a supportive environment (with assistance during practicals). The nature of learning to program requires continual self-directed learning: this will be required for subsequent modules.
Assessment
A reflective report exploring learning on the module, with examples of coding relevant to study of population health sciences.
Module length
6 days, 3 each at beginning and end of term 1.