Course unit
Mathematical modeling of decision problems
Last updated: 09/12/2024
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Course Director(s):
DELORME Xavier
General Description:
On completion of the course students will understand and know how to apply the principle formalisms of mathematical modelling of discrete event systems :
- Markov chains for modelling stochastic processes
- Linear programming in whole numbers for modelling combinatory problems
- Markovian decision processes
They will understand the application fields of these different formalisms and their principle mathematical properties.
Key words:
Operational research
Markov chains
linear programming in whole numbers
Number of teaching hours
15
Fields of study
Mathematics
Teaching language
French
Intended learning outcomes
| On completion of the unit, the student will be capable of: |
Classification level |
Priority |
| Formalising most discrete event systems |
null |
null |
Learning assessment methods
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Percentage ratio of individual assessment
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Percentage ratio of group assessment
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Written exam:
|
100
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%
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Project submission:
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0
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%
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|
Individual oral exam:
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0
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%
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Group presentation:
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0
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%
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Individual presentation:
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0
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%
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Group practical exercise:
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0
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%
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|
Individual practical exercise:
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0
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%
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Group report:
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0
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%
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Individual report:
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0
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%
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Other(s): 0 %
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Programme and content
| Type of teaching activity |
Content, sequencing and organisation |
| Course |
Lecture courses (6h) |
| Supervised studies |
Modelling exercises (7.5h) |