Module Catalogues

Advanced Genetics

Module Title Advanced Genetics
Module Level Level 2
Module Credits 5.00
Academic Year 2021/22
Semester SEM2

Aims and Fit of Module

This module combines a previous lecture and practical modules which were delivered separately. Therefore there will be two parts to each section of the module specification directly related to its respective content. The Lecture part of the module aims to give students with an interest in Genetics & Molecular Biology a more advanced introduction to a range of subjects in modern Genetics. It will integrate classical concepts with modern genome-wide approaches to study the genetics of disease and disease susceptibility. It is also intended to provide the foundation for genetic analysis of disease and bioinformatics of genomics. The Practical part of the module aims to provide experience in a range of genetic techniques including the selection and genetic characterization of mutations, cytogenetics and karyotype analysis, population studies, molecular analysis of genomes and bioinformatics.

Learning outcomes

A. Acquire knowledge and critical understanding of the principles of genome organization and integration; linkage mapping to identify genes of interests; molecular mechanisms of the action of selected groups of gene.
B. understand how these principles have been developed and applied to other areas of biology.
C. Know the appropriate methods and approaches required to solve problems in the area of genetics.
D. Acquire knowledge and critical thinking of concepts and principles of special techniques for genetic analysis.
E. Acquire the ability to present, critically evaluate and interpret qualitative and quantitative data and record procedures and protocols.
F. Make sound judgements based on basic theories and concepts.
G. Develop team-working and individual skills and learn to manage time effectively.
H. Plan and execute a series of experiments and use laboratory equipment correctly and safely to generate data.
I. Apply statistical analysis to data and interpret data validly.

Method of teaching and learning

The contents of the Lecture part of the module will be delivered primarily via standard lectures, that will be accompanied by suitable lecture hand-outs (also available online). Students will also be guided to sections of specific textbooks, reviews or source literature. Intervals during the module revision (up to 3), lectures or exercises will allow students to self-assess their understanding of the course.