Module Information
Course Delivery
Assessment
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Assessment | Population Genetics Workshop. Analysis and modelling of population genetics information. Introduction to genetic data retrieval from databases and analysis. 1600 Words | 40% |
| Semester Exam | 2 Hours Exam | 60% |
| Supplementary Assessment | Population Genetics Workshop. Analysis and modelling of population genetics information. Introduction to genetic data retrieval from databases and analysis. 1600 Words | 40% |
| Supplementary Exam | 2 Hours Supplementary Exam | 60% |
Learning Outcomes
On successful completion of this module students should be able to:
Independently demonstrate retained knowledge of the principles of evolution.
Appreciate the application of modern molecular techniques to the study of evolution.
Be able to manipulate and interpret data, and solve problems relating to basic population genetics, and molecular clocks.
Discuss the relevance of phylogenetic methods and their use in elucidating the evolution relationships between taxa in a range of situations.
Select and use appropriate resources and software tools for processing genomic information, determining sequence homologies in relation to evolutionary relationships.
Brief description
This course will provide the theoretical background for understanding the theory of evolution. The evidence supporting evolution will be discussed and include a consideration of morphological, paleontological, and genetic evidence. Possible mechanism of speciation will be considered genetic evidence for evolution will involve an introduction to population genetics, genome comparisons and the use of molecular clocks. Human evolution will be examined in detail showing how fossil and molecular data can be used to gain insight into evolutionary trends and drivers. The population genetics aspects of this module will be supported by a computer-based workshop.
Content
What is Evolution?
Evidence for Evolution:
Paleontological evidence
Speciation Mechanisms
Modeling Evolution: Population genetics
The principles of tree construction in phylogenetics
The use of genomic data to reveal phylogenetic relationships.
Case Study: Human Evolution
The lectures will be complemented by an extensive practical programme:
A paper-based workshop will investigate how gene changes in a population can be modeled. This will focus on the impact of disease on key allele within a human population;
Three computer workshops will establish skills allowing the retrieval of information from biological databases and their use in phylogenetic analyses.
Module Skills
| Skills Type | Skills details |
|---|---|
| Application of Number | Students will have opportunity to collect and interpret data in practical classes with respect to quality and quantity. This will include the Application of statistically-based web tools for analysis of sequence data to derive phylogenetic trees. Feedback on this will be provided with the returned assignment. |
| Communication | Students will develop effective listening skills for the lectures. Students will develop effective written communication skills in practical class write-ups. Feedback on this will be provided with returned assignment. |
| Improving own Learning and Performance | Student’s ability to devise and monitor time management, learning and performance skills throughout module via attending lectures and practical classes. |
| Information Technology | Students will develop skills in accessing the web for information sources and free software for phylogenetic analysis and data display. |
| Problem solving | Students will develop skills in lectures. Practicals will be designed to allow students to gain experience in extracting and interpreting data. Feedback on will be provided with the returned assignment. |
| Research skills | Practical classes will develop skills in the extractions and analysis of data from web-accessible databases and the critical evaluation of data. Feedback will be provided with returned assignments. |
| Subject Specific Skills | Accessing, assimilating and storing information via remote computer servers. |
Notes
This module is at CQFW Level 5