Simulazione
A.Y. 2020/2021
Learning objectives
Fornire sia conoscenze teoriche che competenze pratiche nel campo
- della modellazione matematica descrittiva, del corrispondente uso dei metodi statistici
- delle metodologie per le simulazioni di tipo system dynamics, discrete events e agent based
- dell'analisi di log di simulazioni
insieme alle abilita` necessarie per l'utilizzo di software professionale per realizzare simulazioni di sistemi reali.
- della modellazione matematica descrittiva, del corrispondente uso dei metodi statistici
- delle metodologie per le simulazioni di tipo system dynamics, discrete events e agent based
- dell'analisi di log di simulazioni
insieme alle abilita` necessarie per l'utilizzo di software professionale per realizzare simulazioni di sistemi reali.
Expected learning outcomes
Undefined
Lesson period: Second 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
Single session
Responsible
Lesson period
Second semester
Lectures are given in synchronous online mode. More details are given on the ARIEL course website.
Course syllabus
Theory lecture topics:
Lecture 1. Introduction to Simulation paradigms.
Part 1. Modeling with Random Variables.
Part 2. Generating Random Numbers and Random Variables
Part 3. Statistical Analysis of Simulation Results.
Modeling and software tool tutorials:
Tutorial 1. Agent Based simulation (Diffusion of Technologies)
Tutorial 2. Discrete Events Based simulation (Supply Chain, Job Shops).
Tutorial 3. System Dynamics Simulation (Diffusion of influence)
Lecture 1. Introduction to Simulation paradigms.
Part 1. Modeling with Random Variables.
Part 2. Generating Random Numbers and Random Variables
Part 3. Statistical Analysis of Simulation Results.
Modeling and software tool tutorials:
Tutorial 1. Agent Based simulation (Diffusion of Technologies)
Tutorial 2. Discrete Events Based simulation (Supply Chain, Job Shops).
Tutorial 3. System Dynamics Simulation (Diffusion of influence)
Prerequisites for admission
Probability Calculus and Statistics. Basic computer programming skills.
Teaching methods
Classroom lectures, software tutorials.
Teaching Resources
S. Ross "Simulation". 5th edition (2014).
Assessment methods and Criteria
Practical project and oral theory exam.
Professor(s)