Academic Year 2021/2022
- Docente: Elena Morotti
- Credits: 4
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
International Relations (cod. 9084)
Also valid for Second cycle degree programme (LM) in International Relations (cod. 9084)
Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
Learning outcomes
Workshops are designed to provide students with transversal skills that can prove useful in their future careers. The objective of the workshop is to help students to practice skills through application of information technology, data analysis, decision-making techniques (e.g. simulation) in complex organizations.
Course contents
WS4: BIG DATA TECHNIQUES WITH R - part I
This workshop presents the Data Mining workflow and it focuses on the machine learning techniques for classification, that is a widely used tool exploited in many applications (such as Text Mining).
Topics will be introduced theoretically but also verified in R-based softwares during the laboratory hours.
More in details, the course contents are:
- Introduction to Data Mining;
- Introduction to programming in R;
- Presentation of classification techniques for Big Data;
- Implementation of R scripts to classify input data;
- Presentation of some case studies and applications.
Part II is in WS7 (not mandatory).
Readings/Bibliography
Slides by the teacher
ROBERT, I., et al. "R in action: data analysis and graphics with R". 2011.
Teaching methods
Lectures and Laboratory lessons (in presence, hopefully)
Assessment methods
Evaluation of a final written report.
Teaching tools
Slides and script files by the teacher
Office hours
See the website of Elena Morotti