Modeling and Simulation
A.Y. 2022/2023
Learning objectives
The course aims to provide an overview of modeling, through the basic concepts of systems analysis, especially linear ones. It will provide the elements needed to understand how the models can be used in simulation, forecasting, planning and management, and how they can be integrated to support decision-making. During the course examples and case studies will be analyzed and the analysis will be extended to non-linear models. Computer laboratory sessions, using generic and specific software, will be provided.
Expected learning outcomes
At the end of the course the student will be able to understand/have acquired:
- Role of information and models in decision-making.
- General knowledge on descriptive modeling.
- Problems and techniques for model simulation.
- Parametric identification of linear models.
- General knowledge on modeling decision-making.
- Some troubleshooting techniques for mathematical programming problems, also with many objectives and in uncertain context.
- Role of information and models in decision-making.
- General knowledge on descriptive modeling.
- Problems and techniques for model simulation.
- Parametric identification of linear models.
- General knowledge on modeling decision-making.
- Some troubleshooting techniques for mathematical programming problems, also with many objectives and in uncertain context.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization