Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: BIO204
Module Title: Advanced Genetics
Module Level: Level 2
Module Credits: 5.00
Academic Year: 2018/19
Semester: SEM2
Originating Department: Biological Sciences
Pre-requisites: N/A
   
Aims
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.
Syllabus 
The Practical part of the module contains 5 experiments which will be conducted in 6 whole-day laboratory sessions. Each session will be preceded by a lecture to provide background in theory and procedures followed by a session to discuss learning outcomes. In the
laboratory session, students will work individually or within small groups and receive help in the planning, execution and interpretation of the experiments from demonstrators. Course manuals will provide theoretical background, detailed protocols & procedures and example of worked data.

Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 21     7  36    86  150 

Assessment

Sequence Method % of Final Mark
1 Final Exam (Lecture) 50.00
2 Lab Performance And Report (Practical) 30.00
3 Final Assessment (Practical) 10.00
4 Poster (Practical) 10.00

Module Catalogue generated from SITS CUT-OFF: 4/20/2018 8:41:58 AM