Perspectives and Technologies in the Life Sciences Sector

Description

This module covers contemporary medical biotechnologies that are currently being either developed or routinely used, in both the life science sector.

Aims

The aim of this Module is to provide the student with a perspective of the current and emerging methods used in the life sciences sector, including commercial and research aspects of the processes of diagnostics, vaccine and drug testing and development.

Learning Outcomes

By the end of this module the student should be able to:

1.  Evaluate current methods used in the life sciences sector, to enable new diagnostics, vaccine and drug discovery and development.

2.  Appraise specific technological and commercial activities used in the life sciences sector.

3.  Critically discuss development frameworks for bioproduct or bioprocess innovation that may be used by a life sciences company to gain competitive advantage.

Indicative Content

1 Contemporary techniques in medical biotechnology

Students will be introduced to contemporary medical biotechnologies e.g Next generation genomic and transcriptomic sequencing, proteomics, interactomics, metabolomics.

2 The use of current Medical biotechnologies in the public and private sector

Nucleic acid and protein diagnostics, methods that lead to diagnostic screening techniques and drug discovery. For example diagnostic nucleic acid techniques, immune diagnostic kits, targeted drug screening using enzymes (eg. kinases), proteins (eg. cytochrome P450), from laboratory to market will be explained and demonstrated (during industrial visits) to students.

Statement on Teaching, Learning and Assessment

Learning outcomes of this module will be achieved and graduate attributes enhanced by students attending lectures, tutorials, guest seminars and industrial visits. Independent self- study and literature-based research will be required for the assessments. Relevant material will be delivered in the form of “dry” (bioinformatic) laboratories (6 hours), where students will either generate their own data or be given “raw” data to analyse e.g. Sanger sequence trace, Microarray data and Mascot, mass spec data.

Teaching and Learning Work Loads

Total 200
Lecture 24
Tutorial/Seminar 6
Supervised Practical Activity 30
Unsupervised Practical Activity 0
Assessment 60
Independent 80



Guidance notes

Credit Value – The total value of SCQF credits for the module. 20 credits are the equivalent of 10 ECTS credits. A full-time student should normally register for 60 SCQF credits per semester.


Disclaimer

We make every effort to ensure that the information on our website is accurate but it is possible that some changes may occur prior to the academic year of entry. The modules listed in this catalogue are offered subject to availability during academic year 2019/10 , and may be subject to change for future years.