Module overview
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Interpret the results of the modelling.
- Use a range of popular statistical models for continuous and categorical data.
- Understand the foundation theory of Generalised Linear Models.
- Use models to describe the relationship between a response and a set of explanatory variables.
- Use the statistical software package R to fit statistical models.
- Summarise data with an appropriate statistical model.
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Independent Study | 106 |
Teaching | 44 |
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
Agresti. A (2007). An Introduction to Categorical Data Analysis. Wiley.
Fox, J (1997). Applied Regression Analysis, Linear Models, and Related Methods. Sage Publications.
Faraway, J,J (2015). Linear Models with R. CRC Press.
Dobson. A.J (2008). An Introduction to Generalized Linear Modules. Chapman and Hall.
Agresti, A (2013). Categorical Data Analysis. Wiley.
Faraway, J,J (2016). Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. CRC Press.
Fox, J Sandford, W (2019). An R Companion to Applied Regression. Sage Publications.
Assessment
Assessment strategy
There will be opportunities to evaluate your progress through formative assessment, with summative assessment based on two online assignments.Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Timed Assignment | 50% |
Coursework | 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% |
Assignment | 50% |
Repeat Information
Repeat type: Internal & External