Academic year(s): 2017-2018
SCOTCAT credits : 20
ECTS credits : 10
Level : SCQF Level 11
Planned timetable: 10.00 am Mon (even weeks), Tue and Thu
This module consists of MT4531 with an additional project which will give consideration to some more advanced aspects of the theory or to the application of Bayesian techniques. This may involve either directed reading or the use of the computer for simulation or data-based analyses. The syllabus includes Bayes' theorem, inference for Normal samples; univariate Normal linear regression; principles of Bayesian computational, Markov chain Monte Carlo - theory and applications.
Pre-requisite(s): Before taking this module you must pass MT3506 or pass MT3507
Anti-requisite(s): You cannot take this module if you take MT4531
Weekly contact: 24 lectures and 7 practical classes over semester.
Scheduled learning hours: 31
Guided independent study hours: 169
As used by St Andrews: 2-hour Written Examination = 60%, Coursework = 40%
As defined by QAA
Written examinations : 60%
Practical examinations : 0%
Re-assessment: 2-hour Written Examination = 100%