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Machine Learning and Data Analytics

Curriculum

Computational Science and Engineering

Data Science and Applications

Path

Data Science for Healthcare

Data Science for Life Sciences

Data Science for Social Sciences

Foundations of Data Science

Computational Fluid Dynamics

Computational Physics

Computational Chemistry

Computational Cosmology

Control and Design of Cyber-Physical Systems

Year

SSD

ING-INF/05+SECS-S/01

TAF

B+C

CFU

6+6

SEM

I

Lecturers

Matilde Trevisani

Objective: introducing students to the principles of data analysis, to data mining, and to machine learning (supervised and unsupervised learning).

Detailed description (a.a. 2017/18): See here.