Studying at York
Data analysis - BIO00058M
- Department: Biology
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2022-23
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Autumn Term 2022-23 to Spring Term 2022-23 |
| B | Autumn Term 2022-23 to Spring Term 2022-23 |
Module aims
The aim of this module is to provide students with skills in data analysis that will enable them to act as independent researchers. Students choose one data analysis option from several according to their interests and discipline. Within each option, students will be provided with the opportunity to learn about and be supported in applying these analytical skills to defined problems discussed in workshops. Furthermore, students will apply their skills independently to a 'project' for each option.
The skills options are:
- Analysing and using 3D structures in molecular bioscience research
- Data science
- Sequence analysis
Each options consists of c.15 hours of contact time in the form of lectures and workshops, for which students will be set specific tasks, and be able to develop and discuss their ideas for independent / project work. The specific learning outcomes of the individual skills options will map onto the overall module learning outcomes.
Module learning outcomes
At the end of this module students will be able to:
- Demonstrate the acquisition of skills in experimental design and data analysis, related to the option chosen within the module.
- Apply the skills learned to address novel Bioscience problems.
Indicative assessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100 |
Module feedback
Students will be provided with feedback on data analysis and reflection tasks completed within the workshops. Peer-to-peer feedback within workshops will be encouraged.
Feedback on summative assessment will be returned within four weeks
Indicative reading
Problem based skills development means key texts are not appropriate.