Data in Public and Social Services

Course Syllabus

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L'insegnamento vuole far apprendere a studenti e studentesse come analizzare dati medici (specialmente quelli di cartelle cliniche elettroniche) attraverso tecniche di statistica computazionale e di apprendimento automatico per scoprire nuova conoscenza sulle condizioni dei pazienti.

Dataset search and retrieval
Data preparation and data cleaning
Exploratory data analysis
Unsupervised machine learning
Supervised machine learning
Feature ranking
Result understanding and validation
R and Python programming languages

In corso di definizione

Statistica di base e basi dell'apprendimento automatico
Conoscenza di base di R o Python

Lezioni in presenza ed esercitazioni in presenza

Slides presentate a lezione ed articoli scientifici segnalati a lezione

Secondo semestre

Progetto scientifico personale, consegna di report sul progetto svolto, e presentazione orale del lavoro svolto

Da concordare via email scrivendo a davide.chicco(AT)unimib.it

SALUTE E BENESSERE
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This module aims at teaching students how to analyze medical data (especially, data of electronic health records) through computational statistics and machine learning techniques to infer new knowledge about the conditions of patients.

Dataset search and retrieval
Data preparation and data cleaning
Exploratory data analysis
Unsupervised machine learning
Supervised machine learning
Feature ranking
Result understanding and validation
R and Python programming languages

To be defined

Basic statistics and basic machine learning
Basic knowledge of R o Python

In-person theory classes and practice exercise classes

Classes slides and scientific papers mentioned during classes

Second semester

Personal work on a scientific project, delivery of a report on the work done, and oral presentation of the work done

To define via email by writing to davide.chicco(AT)unimib.it

GOOD HEALTH AND WELL-BEING
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Key information

Field of research
ING-INF/05
ECTS
3
Term
Second semester
Activity type
Mandatory to be chosen
Course Length (Hours)
25
Degree Course Type
2-year Master Degreee
Language
English

Staff

    Teacher

  • Davide Chicco
    Davide Chicco

    • Assistant

  • VC
    Vasco Coelho

Enrolment methods

Manual enrolments
Self enrolment (Student)

Sustainable Development Goals

GOOD HEALTH AND WELL-BEING - Ensure healthy lives and promote well-being for all at all ages