This module will consolidate the basic concepts of Bayesian inference covered in Statistical Theory or MATH3044 Statistical Inference. Students will be introduced to more advanced Bayesian
methodology, and to the analysis of data using Bayesian methods.
Pre-requisites: MATH2010 AND MATH2011
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Having successfully completed this module you will be able to:
12 hours of lectures and 4 hours of practical laboratory sessions within the first six weeks.
| Type | Hours |
|---|---|
| Specialist Laboratory | 4 |
| Lecture | 12 |
| Independent Study | 36 |
| Total study time | 52 |
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Project | 70% |
| Coursework | 30% |
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Project report | 100% |
Repeat type: Internal & External