Research Methods in Genetics (C7152)
Research Methods in Genetics
Module C7152
Module details for 2022/23.
15 credits
FHEQ Level 4
Module Outline
This module introduces key skills for contemporary genetics: statistics, bioinformatics, and also an understanding of the wider social and ethical implications of genetics and genomics. Statistics allows us to form a quantitative understanding about experimental or observational data and the information we can extract from it. Statistical methods and concepts underlie the use of the vast amounts of data available from genomics and information technology. This module introduces key concepts in statistics and offers practical experience of handling and interpreting bioinformatics and experimental data, and their application with lectures and workshops.
The second part of the module looks at the impact of genetics and genomics in contemporary medicine and agriculture as well as the wider social and ethical issues. This includes lectures, student presentations and an essay.
Module learning outcomes
Understand a range of statistical methods that are commonly used in genetics, and use a modern software package to process the data and carry out statistical tests.
Apply statistical methods to experimental data.
Use bioinformatics databases to investigate questions about genetic variation and evolution in humans or other organisms.
Research and understand literature on the applications of genetics and genomics in medicine or agriculture and their ethical implications. Explain these orally and in writing.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Presentation | T2 Week 11 (20 minutes) | 20.00% |
| Essay | T2 Week 10 | 40.00% |
| Test | T2 Week 7 (2 hours) | 40.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 1 hour | 22222211100 |
| Spring Semester | Workshop | 1 hour | 01111000010 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
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