Module and Programme Catalogue

Search site

Find information on

This module is inactive in the selected year. The information shown below is for the academic year that the module was last running in, prior to the year selected.

2011/12 Undergraduate Module Catalogue

MATH3841 Introduction to Hidden Markov Models

10 creditsClass Size: 50

Module manager: Professor Walter R Gilks
Email: wally.gilks@maths.leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2011/12

Pre-requisite qualifications

MATH2715 or MATH2735 or MATH2750

This module is mutually exclusive with

MATH5840MHidden Markov Models for Biological Sequence Analysis
MATH5841MHidden Markov Models and their Application in Bioinformatics

This module is approved as an Elective

Module summary

Markov models underlie many real-world processes. Hidden Markov models are used when these processes can be observed only indirectly. This module will provide an understanding of HMMs, how they are used and methods for applying them to real-world problems.

Objectives

To develop an understanding of hidden Markov models (HMMs) and their application in diverse fields.

Learning outcomes
On completion of this module, students should have:
(a) an understanding of Hidden Markov Models (HMMs);
(b) an understanding of dynamic programming algorithms;
(c) experience of the application of HMMs;
(d) an appreciation of the breadth of application of HMMs;
(e) improved statistical programming skills.


Syllabus

(a) Markov modelling and some applications
(b) Dynamic programming algorithms
(c) Hidden Markov models
(d) Applications of HMMs

Teaching methods

Delivery typeNumberLength hoursStudent hours
Lecture221.0022.00
Practical12.002.00
Private study hours76.00
Total Contact hours24.00
Total hours (100hr per 10 credits)100.00

Private study

Reviewing lecture notes and wider reading: 31 hours;
Completing exercise sheets: 20 hours;
Completing assessed practical: 20 hours.

Opportunities for Formative Feedback

Regular Exercise sheets.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
PracticalReport on data anlysis20.00
Total percentage (Assessment Coursework)20.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated


Exams
Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 00 mins80.00
Total percentage (Assessment Exams)80.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 27/02/2012

Disclaimer

Browse Other Catalogues

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD

© Copyright Leeds 2019