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Percorso della pagina
  1. Economics
  2. Master Degree
  3. Scienze Statistiche ed Economiche [F8206B - F8204B]
  4. Courses
  5. A.A. 2023-2024
  6. 2nd year
  1. Data Science M
  2. Summary
Insegnamento con unità didattiche Course full name
Data Science M
Course ID number
2324-2-F8204B018
Course summary SYLLABUS

Blocks

Skip Teaching units

Teaching units

Course full name Statistical Learning Course ID number 2324-2-F8204B018-F8204B033M
Course summary SYLLABUS
Course full name Data Mining Course ID number 2324-2-F8204B018-F8204B034M
Course summary

Course Syllabus

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  • English ‎(en)‎
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Obiettivi formativi

Data Science M è composto da due moduli:

Data Mining M
Il corso si pone come obiettivo l'approfondimento di tecniche per l'analisi dei dati e di data mining e il perfezionamento delle abilità di modellizzazione con finalità previsiva, con relative implementazioni nell’ambiente di programmazione R.
Per maggiorni informazioni: https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
Il corso si pone come obiettivo l'acquisizione delle principali tecniche di statistical learning (SL) e la loro implementazione nell’ambiente di programmazione R. Durante il corso verrà data particolare enfasi alla algorithmic modeling culture, prestando anche attenzione alla stima dell'incertezza nelle previsioni.
Per maggiori informazioni : https://elearning.unimib.it/course/info.php?id=51210

Contenuti sintetici

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Programma esteso

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Prerequisiti

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Metodi didattici

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Modalità di verifica dell'apprendimento

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Testi di riferimento

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Periodo di erogazione dell'insegnamento

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Lingua di insegnamento

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Sustainable Development Goals

ISTRUZIONE DI QUALITÁ
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Learning objectives

Data Science M is composed by two modules

Data Mining M
The course aims to provide data analysis and data mining tecniques and to improve predictive modelling skills by using the R software environment for statistical computing.
For more details, please see: https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
The course aims to acquire the main techniques of statistical learning (SL) and their implementation in the R programming environment. During the course, emphasis will be placed on the algorithmic modelling culture, while also paying attention to the estimation of uncertainty in predictions.
For more details, please see : https://elearning.unimib.it/course/info.php?id=51210

Contents

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Detailed program

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Prerequisites

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Teaching methods

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Assessment methods

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Textbooks and Reading Materials

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Semester

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Teaching language

Data Mining M
https://elearning.unimib.it/course/info.php?id=51202

Statistical Learning M
https://elearning.unimib.it/course/info.php?id=51210

Sustainable Development Goals

QUALITY EDUCATION
Enter

Key information

ECTS
12
Term
First semester
Activity type
Mandatory to be chosen
Course Length (Hours)
84
Degree Course Type
2-year Master Degreee
Language
Italian

Students' opinion

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Bibliography

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Enrolment methods

Manual enrolments
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Sustainable Development Goals

QUALITY EDUCATION - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
QUALITY EDUCATION

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