Ing Ind - Inf (Mag.)(ord. 270) - BV (479) MANAGEMENT ENGINEERING - INGEGNERIA GESTIONALE
097741 - DECISION MODELS
The course wants to build a specific expertise on the tools for the management of the decision processes, both from the point of view of methods and applications. The aim is to provide students with analytical skills to address decision-making problems through the use of models. Some topics and real-life cases will be deepened by teamwork.
The course fits into the overall program curriculum pursuing some of the defined general learning goals. In particular, the course contributes to the development of the following capabilities:
understand context, functions, processes in private and public environment and the impact of those factors on the performances;
design solutions applying a scientific and engineering approach (analysis, learning, reasoning, and modeling capability deriving from a solid and rigorous multidisciplinary background) to face problems and opportunities;
interact in a professional, responsible, effective and constructive way in a working environment, also motivating group members.
Risultati di apprendimento attesi
Understand context. The course distinguishes between the expert in decision systems (the purpose is to build this competence in the students) and the real decision maker. So the first aim is to develop the ability of analyzing decision-making problems - actors, objectives, information, conflicts, available data, negotiation, ... - from the formal point of view, building a suitable model of it.
Design solutions. The course define the most appropriate methodologies to address the (previuosly analyzed) decision-making problems, extracting the most effective techniques from the set of tools presented (and discussed with the students).
Interact in a professional way. The course try to recognize decision-making contexts, in public and private environments, in which it is better to use formal methods rather than qualitative tools to support the decision maker .
Cases will be introduced to define different decision models ...
Deterministic models using a single criterion. Linear programming. Models on networks.