MT4528
Markov Chains and Processes
2017-2018
15
7
SCQF level 10
1
Academic year(s): 2017-2018
SCOTCAT credits : 15
ECTS credits : 7
Level : SCQF level 10
Semester: 1
Planned timetable:
This module provides an introduction to the theory of stochastic processes and to their use as models, including applications to population processes and queues. The syllabus includes the Markov property, Chapman-Kolmogorov equations, classification of states of Markov chains, decomposition of chains, stationary distributions, random walks, branching processes, the Poisson process, birth-and-death processes and their transient behaviour, embedded chains, Markovian queues and hidden Markov models.
Pre-requisite(s): Before taking this module you must pass MT2504
Weekly contact: 2.5 lectures (weeks 1 - 10) and 8 tutorials over the semester.
Scheduled learning hours: 33
Guided independent study hours: 117
As used by St Andrews: 2-hour Written Examination = 100%
As defined by QAA
Written examinations : 100%
Practical examinations : 0%
Coursework: 0%
Re-assessment: 2-hour Written Examination = 100%