Unit name | Statistics and R |
---|---|
Unit code | BIOLM0029 |
Credit points | 20 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Dr. Clements |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | School of Biological Sciences |
Faculty | Faculty of Life Sciences |
This unit will introduce students to the theoretical and practical aspects of statistical approaches to analysing biological data. These include the design of statistical tests and use of tools such the R programming language. The students will have opportunity to plan, develop and implement their own statistical analyses to answer a wide variety of biological questions.
The aim of this unit will be to:
The Learning Outcomes (LOs) for this unit are:
A: Knowledge and Understanding:
B: Intellectual Skills/Attributes:
C: Other Skills /Attributes (Practical/Professional/Transferable):
The unit will be delivered through a mixture of short lectures followed by individual exercises with computers. Blackboard will be used to engage students with the unit content.
A summative computer assessment will consist of a final computer task integrating all the learning objectives.
Beckerman, Childs, Petchey. Getting started with R. Oxford press
Wickham & Grolemund. R for data science. O’Reilly.