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Numerical Analysis

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

Data Management and Engineering

Data Processing and Visualization

Data Science for Digital Transportation

Data Science for Healthcare

Data Science for Life Sciences

Data Science for Social Sciences

Data Science in Geodata Science

Foundations of AI and ML

Quantum Computing

Year

SSD

MAT/08

TAF

B

CFU

6

SEM

I

Lecturers

Gianluigi Rozza

Detailed Description

Esse3 Course Page

Objective: providing numerical analysis tools for scientific computing, with particular attention to linear algebra, polynomial approximation, numerical integration, numerical solution of ordinary differential equations and partial differential equations, approximation of eigenvalues and eigenvectors.