Module manager: Dr Simon Goodman
Email: s.j.goodman@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
BLGY3244
This module is not approved as a discovery module
On the completion of this module, students will be able to:
- understand the nature of biological species and the roles of natural selection and drift in
evolution;
- comprehend the attempts made and the problems encountered, in interpreting genetic data to
infer the history of populations (including human beings);
- appreciate the formal logic and modes of thinking required to solve phylogenetic problems and
interpret experimental data;
- develop skills in the interpretation of material pertaining to the above.
Students will understand:
- The role of natural selection.
- Dynamics of gene replacement: neutral vs. selectionist theories.
- Drift and neutral evolution.
- Natural selection for alleles with discrete effects.
- Phylogenetics and phylogeography.
- Inferring population structure, migrations and colonisation with genetic data, and the application
of such techniques to humans and wildlife
- Evolutionary and population genomics
Delivery type | Number | Length hours | Student hours |
---|---|---|---|
Data Handling Session | 2 | 2 | 4 |
Lecture | 15 | 1 | 15 |
Private study hours | 81 | ||
Total Contact hours | 19 | ||
Total hours (100hr per 10 credits) | 100 |
61 hours - preparation for lectures, reading references and revision
20 hours - working on computer-based data analysis.
Exercises applying principles covered during lectures to analyse population datasets.
Assessment type | Notes | % of formal assessment |
---|---|---|
Practical Report | practical report - DNA sequence analysis (split over 2 sessions) | 30 |
Total percentage (Assessment Coursework) | 30 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exam type | Exam duration | % of formal assessment |
---|---|---|
Online Time-Limited assessment | 24.0 Hrs 0 Mins | 70 |
Total percentage (Assessment Exams) | 70 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 4/29/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team