University of St Andrews

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 11

Semester: 1

Availability restrictions: Not automatically available to General Degree students

Planned timetable: Lectures: co-taught with MT4531. Monday (even) 10-11, Tuesday 10-11, Thursday 10-11; Practicals: co-taught with MT4531, Monday 1-2pm

This module examines the Bayesian framework for analysing statistical problems, including an introduction to the latest theoretical and practical developments in the field. The syllabus includes Bayes' theorem, standard inference for conjugate Bayesian analyses, prediction, model comparison, principles of Bayesian computational techniques and software, and Markov chain Monte Carlo theory and applications. Instruction of advanced aspects of the Bayesian framework theory and its application is carried out by guided independent study, involving completion of a substantial project.

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 MT4531 or take MT5831

Learning and teaching methods and delivery

Weekly contact: 2.5 hours of lectures (10 weeks), 1-hour tutorial (9 weeks);

Scheduled learning hours: 35

Guided independent study hours: 120

Assessment pattern

As used by St Andrews: 2-hour written examination = 60%, coursework = 40%.

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

Re-assessment: 2-hour written examination = 60%, Coursework = 40%

Personnel

Module coordinator: Dr M Papathomas
Module teaching staff: Dr Michail Papathomas, Dr Giorgos Minas