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| Module Availability |
| Spring 2011 (semester 2) |
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| Assessment Pattern |
Assessment Pattern
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Unit(s) of Assessment
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Weighting Towards Module Mark( %)
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Coursework I (individual)
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15%
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Coursework II (individual)
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15%
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Examination
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70%
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Qualifying Condition(s)
none
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| Module Overview |
Module Overview
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To introduce optimal decision making processes in design and management. To give the necessary mathematical background and its application to solving a selection of constrained optimisation problems.
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| Prerequisites/Co-requisites |
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(COM 1021 Mathematical Methods for Computing 1 after 2010)
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| Module Aims |
Module Aims
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The purpose of this course is to study the basic tools for quantitative methods for decision making. The emphasis is on solution methods and strategies.
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| Learning Outcomes |
Learning Outcomes
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The student will understand the underlying algorithms and be able to interpret the results. He/She will be able to formulate problems as abstract models which can be solved by generic algorithms and straightforward mathematical methods.
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| Module Content |
Module Content
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linear programming
inventory modelling
transportation problem
game theory
graph theory
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| Methods of Teaching/Learning |
Methods of Teaching/Learning
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Set of lecture notes
10 exercise sheets and solutions
3 hours of lectures per week for 10 weeks
3 hours of revision sessions prior to examination
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| Selected Texts/Journals |
Selected Texts/Journals
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Introduction to Operations Research by F.S. Hillier and G. J. Lieberman, McGraw Hill International 2005
(Supporting reading, the notes are self sufficient)
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| Last Updated |
updated 12 aug 10 jg Jan11 |
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