Studying at York
Big data biology - BIO00047I
- Department: Biology
- Credit value: 10 credits
- Credit level: I
- Academic year of delivery: 2022-23
Module summary
Provide students with the concepts required to understand the use of high throughput data sets in biology and to interpreting the results of analyses.
To reinforce this understanding through analysis of a data set. To practise and extend R and statistic skills learned at stage one, and to introduce the use of the Python language.
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Spring Term 2022-23 to Summer Term 2022-23 |
Module aims
Provide students with the concepts required to understand the use of high throughput data sets in biology and to interpreting the results of analyses.
To reinforce this understanding through analysis of a data set. To practise and extend R and statistic skills learned at stage one, and to introduce the use of the Python language.
Module learning outcomes
1. Explain the sources, value and caveats of large data sets in biology.
2. Apply appropriate data analysis and visualisation to large biological data sets
3. Be able to organise large data sets and document computational analysis.
4. Interpret large data sets using online resources.
Module content
It will extend student capability with R and statistics and will teach biological concepts, analysis and data handling skills that will be relevant to a variety of other courses.
Indicative assessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100 |
Special assessment rules
None
Additional assessment information
Formative work on the VLE will present example publications relating to the datasets (discussed in the lectures) with questions of interpretation and model answers.
Once students have worked through the analysis of small exemplar datasets, students will work on their project during the workshops.
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100 |
Module feedback
Marks for open assessments will be made available to you and your supervisor via e:vision. Individual comments will be added to your script and/or on separate summary feedback document. Histograms of module marks will be posted on the notice boards outside the Biology Student Services office. You should take the opportunity to discuss your marks and feedback with your supervisor.
During the teaching of the module you will receive feedback that may be at a whole class or individual level. Forms of feedback may include: model answers and discussion of workshop questions, summaries of performance in practicals, VLE-based quizzes, individual spoken comments during workshops, individual written comments on formative work.
Indicative reading
These are available through the VLE module site.