2022/23 Undergraduate Module Catalogue
BMSC3228 Animal Models in Discovery Biology & Drug Development
20 creditsClass Size: 16
Module manager: Dr David Lewis
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2022/23
Pre-requisite qualificationsCompletion of Level 5 of a programme offered by the School of Biomedical Sciences.
|BMSC2341||Experimental Skills in Pharmacology|
|BMSC2342||Experimental Skills in Neuroscience|
|BMSC2343||Experimental Skills in Human Physiology|
|BMSC2344||Experimental Skills in Medical Sciences|
This module is mutually exclusive with
|BMSC5230M||Animal Models in Drug Development|
Module replacesBMSC3126: Integrative Biomedical Sciences
This module is not approved as a discovery module
Module summaryThis module will provide a broad knowledge and understanding of the use of animals in different areas of discovery biology and pre-clinical drug development research. It will include the law, ethics and ethical review, an understanding of societal attitudes to animal research, and animal welfare. You will also gain hands-on experience of working with research animals and in evaluating data from animal studies.
ObjectivesThe objectives of this module are to provide learners with a broad knowledge and understanding of the use of animals in discovery biology and pre-clinical drug development, to develop their ethical awareness, and provide experiential learning in the use of animals for scientific and medical research.
On completion of this module, students will be able to:
1. Discuss the use of research animals in discovery biology, and pre-clinical drug development;
2. Recall the ethical issues and stakeholder opinions surrounding the use of animals in scientific and medical research;
3. Recall the scientific benefits and constraints of studies involving research animals, and their place with respect to complimentary, but alternative, experimental approaches;
4. Critically analyse and evaluate data from research animal studies;
5. Develop skills required to undertake core experimental approaches and techniques used in studies involving research animals.
Ethical awareness & responsibility; Experimental & technical skills; Data analysis & Interpretation.
Content will include the use of a diversity of research animals in discovery biology and pre-clinical drug development, national legislation, the ethical issues including the principles of humane experimental technique, animal welfare and husbandry. Learners will then apply this knowledge in the team-based debate on the use of animals in scientific and medical research, and in the individual critical evaluation of a project submission to an animal welfare and ethical review body.
Learners will also gain experience of core research animal sciences techniques and experimental approaches, and in the critical evaluation and interpretation of data from such studies. This knowledge will be assessed via a data analysis report and procedure briefing note.
|Delivery type||Number||Length hours||Student hours|
|Independent online learning hours||25.00|
|Private study hours||144.00|
|Total Contact hours||31.00|
|Total hours (100hr per 10 credits)||200.00|
Private studySeminar preparation and other in-course assignments;
reading associated with lectures;
data analysis and interpretation;
team-based preparation for debate.
Opportunities for Formative FeedbackFormative feedback will be provided through workshops, module discussion boards and after each in-course assignment.
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|Report||Data analysis report||30.00|
|Practical||Procedure briefing note||15.00|
|In-course Assessment||Ethics debate||20.00|
|In-course Assessment||Ethics application||35.00|
|Total percentage (Assessment Coursework)||100.00|
All assessments are designed to facilitate learning through assessment, and to replicate real-world tasks & activities. All resits will be in the same format as the original assessment with the exception of the team-based ethics debate, which would be replaced by an essay.
Reading listThere is no reading list for this module
Last updated: 10/10/2022
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