| | | |  corso | | | |
Model-driven decision making methods
| Codice: | 666AA | Crediti: | 6 | Semestre: | 2 | Sigla: | MAK | |
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| Settore disciplinare: | MAT/09 - Ricerca Operativa |
Docente
Antonio Frangioni
Tel. 0502212789Ultima versione disponibile: programma da confermare per l’a.a. 2017/2018
Obiettivi di apprendimento
Thecoursewillenablethestudenttoproduceand/orappropriatelyusesoftwaretools for the support to complex decisions (mainly at the corporate/industrial level) based onmathematicaloptimizationtechniques. Thecourseisfocussedonpracticalaspects of these tools. The main aim is to familiarize the students with the speci?c computer scienceaspectsoftheseactivities,suchasdatapreparationandvalidation,thedevelopmentofcomplexmathematicalmodels,theknowledgeableuseofthecorresponding solution algorithms, the impact on this process of data uncertainty and the available methodologies to tackle this problem.
Programma
- Decision theory, decision processes.
- Architecture of decision support systems.
- Reminds to the theory of Linear Programming and Integer Linear Programming problems.
- Solvers of Linear Programming and Integer Linear Programming problems.
- Methodologies for improving performances of the algorithms.
- Data uncertainty issues within optimization methods.
