Simulation

To build an overall view of both theoretical and practical topics in
descriptive mathematical modeling, stochastic simulation paradigms, and
analysis of numerical results produced by simulation tools.

Knowledges:
- mathematical methods for the descriptive modeling of both
deterministic and stochastic systems
- simulation paradigms (discrete events, agent based, system dynamics)
- statistical techniques for building, validating and improving
simulation schemes
- main internal implementation techniques of simulation software tools

Competences:
- to analyze and provide descriptive modeling of complex systems
- to choose suitable simulation paradigms
- to validate and critically analyzing numerical results

Skills:
- to build and formalize a descriptive mathematical model
- to use professional software tools to implement simulation models
- to use professional software tools to analyze the results produced by
simulation tools, and to extract knowledge from them
- to write scientific texts for presenting models, experiments and
results