Module overview
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Use models to describe the relationship between a response and a set of explanatory variables.
- Understand the foundation theory of generalised linear models.
- Interpret the results of the modelling.
- Use the statistical software package R to fit statistical models.
- Summarise data with an appropriate statistical model.
- Use a range of popular statistical models for continuous and categorical data.
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Independent Study | 110 |
Teaching | 40 |
Total study time | 150 |
Resources & Reading list
General Resources
Software requirements. You will require access to R, which is available on the University’s workstations and can be downloaded to your own computer for use with your studies.
Textbooks
Faraway, J.J. (2016). Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. CRC Press.
Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Wiley.
Fox, J. and Sandford, W. (2019). An R Companion to Applied Regression. Sage Publications.
James, G., Witten, D., Hastie, H. and Tibshirani, R. (2021). An Introduction to Statistical Learning with Applications in R. New York: Springer.
Agresti, A. (2019). An Introduction to Categorical Data Analysis. Wiley.
Agresti, A. (2013). Categorical Data Analysis. Wiley.
Fox, J. (2016). Applied Regression Analysis, Linear Models and Generalized Linear Methods. Sage Publications.
Dobson, A.J. and Barnett, A.G. (2008). An Introduction to Generalized Linear Modules. CRC Press.
Faraway, J.J. (2015). Linear Models with R. CRC Press.
Assessment
Assessment strategy
There will be opportunities to evaluate your progress through formative assessment. The summative module assessment will consist of a piece of individual coursework and a two-hour exam. Each of these will be worth 50% of the overall mark.Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Coursework | 50% |
Closed book Examination | 50% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Coursework | 50% |
Closed book Examination | 50% |
Repeat Information
Repeat type: Internal & External