Course unit
Decision theory
Last updated: 22/02/2024
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Course Director(s):
BATTON-HUBERT Mireille
General Description:
This module is an introduction to the theory of decision and in particular to associating decision support tools and methods in multi-player frameworks, in uncertain and multi-goal contexts. It serves to familiarise students with the terminology of decision support tools and enables them to acquire the different techniques for a rigorous use of these mathematical tools. The content is presented in the following manner :
- Decision support tools and decision theory : 4 h
- Theory of social choice
- Decision statistics and game theory
- Multi-criteria methods for decision support: 10 h
Key words:
Decision theory
Social choice
Decision statistics
Analysis
Number of teaching hours
15
Fields of study
Economics, Management, Human and Social Sciences
Mathematics
Teaching language
French
Intended learning outcomes
| On completion of the unit, the student will be capable of: |
Classification level |
Priority |
| Acquiring the key words and terminology for decision support tools |
2. Understand |
Essential |
| Identifying and formalising a problem of decision support |
2. Understand |
Important |
| Applying the associated tools and techniques |
3. Apply |
Essential |
| Analysing and succinctly summarising these results |
4. Analyse |
Essential |
| Integrating these approaches into the Operational Research field |
5. Summarise |
Important |
Learning assessment methods
|
Percentage ratio of individual assessment
|
Percentage ratio of group assessment
|
|
Written exam:
|
50
|
%
|
Project submission:
|
0
|
%
|
|
Individual oral exam:
|
0
|
%
|
Group presentation:
|
0
|
%
|
|
Individual presentation:
|
0
|
%
|
Group practical exercise:
|
0
|
%
|
|
Individual practical exercise:
|
0
|
%
|
Group report:
|
50
|
%
|
|
Individual report:
|
0
|
%
|
|
|
|
|
Other(s): 0 %
|
Programme and content
| Type of teaching activity |
Content, sequencing and organisation |
| Course |
Course with interactions through case studies and targeted problems |
| Practical courses |
Study of industrial problems combined with academic sessions |