University of St Andrews

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 10

Semester: 1

Availability restrictions: Not automatically available to General Degree students

Planned timetable: 10.00 am Mon (even weeks), Tue and Thu

This module is intended to offer a re-examination of standard statistical problems from a Bayesian viewpoint and an introduction to recently developed computational Bayes methods. The syllabus includes Bayes' theorem, inference for Normal samples; univariate Normal linear regression; principles of Bayesian computational, Markov chain Monte Carlo - theory and applications.

Relationship to other modules

Pre-requisite(s): Before taking this module you must pass MT3507 or pass MT3508

Anti-requisite(s): You cannot take this module if you take MT5731 or take MT5831

Learning and teaching methods and delivery

Weekly contact: 24 lectures and 7 practical classes over the semester.

Scheduled learning hours: 31

Guided independent study hours: 119

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 80%, Coursework = 20%

As defined by QAA
Written examinations : 80%
Practical examinations : 0%
Coursework: 20%

Re-assessment: 2-hour Written Examination = 100%

Personnel

Module coordinator: Dr M Papathomas
Module teaching staff: Dr Michail Papathomas, Dr Giorgos Minas
Module coordinator email M.Papathomas@st-andrews.ac.uk