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GENE40080

Academic Year 2024/2025

Population Genetics (GENE40080)

Subject:
Genetics
College:
Science
School:
Biology & Environment Science
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Assoc Professor Jens Carlsson
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

The module aims at giving students hands-on experience with modern population genetics (theory and data). The module is centred on the four evolutionary forces (mutation, selection, genetic drift and gene flow) including human examples. The module consists of lectures, invited speakers and computer practicals. The module ends with students using their acquired skills to solve a staged “Crime Scene”. This part of the module will involve both wet laboratory work and genetic data analyses.

About this Module

Learning Outcomes:

On completion of this module students should be able to:
• Appreciate the role of the four evolutionary forces in shaping genetic diversity
• Analyse population genetic data
• Collect genetic samples from the environment
• Produce genotypic data using population genetic molecular markers in the lab
• Establish genetic identity of individual samples

Student Effort Hours:
Student Effort Type Hours
Lectures

11
Practical

12
Computer Aided Lab

9
Autonomous Student Learning

93
Total

125

Approaches to Teaching and Learning:
Lectures and practicals

Requirements, Exclusions and Recommendations
Learning Requirements:

Students should have passed Principles of Genetics (GENE 20020) or an equivalent module.

Learning Recommendations:

Students should have at least a basic concept of population based genetics.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Report(s): You will be given data to work with and produce lab reports Week 2, Week 3, Week 4 Alternative linear conversion grade scale 40% No
60
 No
Exam (Online): You will be given your own data set that you will work with for a home exam. The exam is usually during the spring study break so the weeks below might not match. Week 7 Alternative linear conversion grade scale 40% No
30
 No
Participation in Learning Activities: Your activity during the labs will be graded Week 6 Alternative linear conversion grade scale 40% No
10
 No

Carry forward of passed components
No
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Individual feedback after each assessment

Name Role
Dr Graham Hughes Lecturer / Co-Lecturer
Dr Julia Jones Lecturer / Co-Lecturer
Dr Rainer Melzer Lecturer / Co-Lecturer
Dr Paola Valentini Lecturer / Co-Lecturer
Assoc Professor Peadar Ó Gaora Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Workshop Offering 1 Week(s) - 20, 21, 22 Fri 14:00 - 15:50
Spring Workshop Offering 1 Week(s) - 24 Mon 15:00 - 16:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23 Thurs 14:00 - 15:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23 Tues 15:00 - 15:50
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