Postgraduate Course: Stochastic Modelling (MATH11029)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Mathematics |
Other subject area | Operational Research |
| Course website |
http://student.maths.ed.ac.uk |
Taught in Gaelic? | No |
| Course description | Markov chains: discrete state, discrete time chains; classification of states; stationary and limit distributions; absorption problems; first passage and recurrence times; insurance, reservoir control, inventory, manpower planning problems; Markov processes in continuous time, viewed as a natural generalization of birth-death processes covered in the Simulation course.
Queueing systems; balance equations for M/M/1 systems and birth-death queues; Little's law; imbedded Markov chain analysis for M/G/1 systems; optimisation problems for single class queues; dynamic control of multi-class queueing systems. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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| Delivery period: 2012/13 Block 4 (Sem 2), Not available to visiting students (SS1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
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| Main Exam Diet S2 (April/May) | | 2:00 | | |
Summary of Intended Learning Outcomes
| Knowledge of behaviour of discrete-state discrete and continuous time Markov Chains. Where appropriate, the ability to formulate real-life problems as a Markov Process. Understanding of elementary queueing theory. Awareness of modern developments in the control of queueing systems. |
Assessment Information
| Coursework 15% and Examination 85% |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | SM_OR |
Contacts
| Course organiser | Dr Julian Hall
Tel: (0131 6)50 5075
Email: |
Course secretary | Mrs Frances Reid
Tel: (0131 6)50 4883
Email: |
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