Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
Aims
The module aims to build student's knowledge and skills in advanced biotechniques or molecular data science for translating to personalized medicine, drawing on the latest advances in the field.
Intended Learning Outcomes
To evaluate and critically appraise the various biotechnological approaches for gene and cell engineering.: 1,2To appraise the principles and applications of multi-omics approaches.: 2To evaluate the advantages and limitations of multi-omics approaches through case studies.: 2To demonstrate analytical and practical skills in advanced biotechnology and omics methods.: 1,2
Direct contact hours: Total 25h-Lectures = 10h-Tutorials = 5h-Practical & Demonstrations = 10hIndependent study hours: Total 125h-Lab report write up = 25h-Directed reading to support lectures/tutorials = 50h-Exam revision = 50hTOTAL = 150 hours
Bachelors degree (or equivalent proof of training) in an approved discipline with some basic molecular or data science experience.
Description of Module Assessment