Methods and Languages for Data Management
A.Y. 2019/2020
Learning objectives
By partecipating fully to the F8x-160 course students should be able to explain what research data is and perform canonical statistical (performed using the R language), plan and realize a data acquisition project based on remote data access (PERL programming language) and make inference on the acquired data (PYTHON programming language) using machine learning techniques.
Expected learning outcomes
- Ability to perform statistical analyses using the R language for statistical computing
- Ability to write personalized script/programs in R
- Ability to write personalized script/programs in PERL
- Ability to write PERL programs for remote database access and manipulation.
- Ability to write a personalized program/script in PYTHON
- Ability to perform machine learning experiments using PYTHON
- Ability to write personalized script/programs in R
- Ability to write personalized script/programs in PERL
- Ability to write PERL programs for remote database access and manipulation.
- Ability to write a personalized program/script in PYTHON
- Ability to perform machine learning experiments using PYTHON
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
METHODS AND LANGUAGES FOR DATA MANAGEMENT
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Re' Matteo
Shifts:
-
Professor:
Re' MatteoProfessor(s)