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Stochastic Modelling and Simulation

Curriculum 
Artificial Intelligence and Machine Learning
Computational Science and Engineering
Data Science and Applications
Path 
AI for Cyber-Physical Systems
Computational Chemistry
Computational Cosmology
Computational Fluid Dynamics
Computational Physics
Control and Design of Cyber-Physical Systems
Data Science for Digital Transportation
Data Science for Life Sciences
Foundations of AI and ML
Quantum Computing
Year 
1st year
SSD 
INF/01
TAF 
B
CFU 
6
SEM 
II
Lecturers 
Alberto D’Onofrio
Detailed Description 
Esse3 Course Page

Objective: introducing students to the fundamentals and practice of stochastic modeling, simulation of stochastic models and inference of parameters starting from observations, with a focus on scalability for large models.