Unit name | Introduction to Queuing Networks 34 |
---|---|
Unit code | MATHM5800 |
Credit points | 10 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 1A (weeks 1 - 6) |
Unit director | Dr. Ayalvadi Ganesh |
Open unit status | Not open |
Pre-requisites |
MATH 21400 Applied Probability 2. |
Co-requisites |
None |
School/department | School of Mathematics |
Faculty | Faculty of Science |
Unit aims
To introduce stochastic models for the description and analysis of simple queues and queueing networks.
General Description of the Unit
Queues are a fact of life - banks, supermarkets, health care, traffic etc.! The modelling and evaluation of individual queueing systems (in terms of quantities such as customer arrival patterns, service demands, scheduling priorities for different customer classes, queue size and waiting times) has been a rich source of theory and application in applied probability and operational research. Networks of linked queueing systems have gained wide popularity for modelling and performance-evaluation purposes in telecommunications, computer technology and manufacturing.
The course will introduce relevant concepts in the context of a single server queue and look at simple parallel and tandem systems, before going on to develop models and performance criteria applicable to more general networks.
Relation to Other Units
The units Information Theory, Financial Mathematics, Queuing Networks and Complex Networks apply probabilistic methods to problems arising in various fields.
Further information is available on the School of Mathematics website: http://www.maths.bris.ac.uk/study/undergrad/
Learning Objectives
Students who successfully complete this unit should be able to:
Transferable Skills
The ability to translate practical problems into mathematics and the construction of appropriate probabilistic models.
Lectures and weekly problem sheets, from which work will be set and marked, with outline solutions handed out a fortnight later.
80% Examination and 20% Coursework.
The homework will be marked against the criteria on the 0-100 scale.
Raw scores on the examinations will be determined according to the marking scheme written on the examination paper. The marking scheme, indicating the maximum score per question, is a guide to the relative weighting of the questions. Raw scores are moderated as described in the Undergraduate Handbook.
Students will be provided with comprehensive lecture notes.
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