Quantitative Skills for Biomedical Sciences

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Appreciate how clinical trials are conducted and the use of a double-blind random controlled trials.
• Understand the distinction between different data types
• To develop skills in statistical analysis using Graphpad Prism.
• Appreciate the benefits and drawbacks of model systems for biomedical research.
• To appreciate what is meant by statistical significance.
• Develop skills to use the statistical package Graphpad Prism to analyse and present data.
• Ordering data –The use of heat maps and dendrograms to present data
• Development of linked biochemical assays - Beer's law calculations; Standard curve;Data fitting;;
• Apply power analysis for animal based research and appreciate its use in the 3Rs.
• Appreciate the importance of sample size, and the problems associated with underpowered and overpowered studies.
• Use the Henderson–Hasselbalch equation to make buffers

Formative

This is how we’ll give you feedback as you are learning. It is not a formal test or exam.

Blackboard-based self-assessment exercises and quizzes

• Assessment Type: Formative
• Feedback:
• Final Assessment: No
• Group Work: No

Summative

This is how we’ll formally assess what you have learned in this module.