90909 - Workshop 2 (WS A)

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

This workshop presents students a wide overview of the Data Science discipline. It focuses on processing techniques for structured data and on a deep understanding of classification routines.

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.

Topics will be introduced theoretically but also verified in R-based softwares during the laboratory hours.

ATTENTION:

1. the class attendance is mandatory;
2. attending this module allows you to attend "B0267 - WORKSHOP ON SKILLS DEVELOPMENT - DATA SCIENCE (ADVANCED) (A)" if you desire to learn more about Data Science. 

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.

It is necessary to previously attend the online courses on health and safety for students of University of Bologna, "module 1" and "module 2", available at https://elearning-sicurezza.unibo.it/?lang=en

Assessment methods

Evaluation of a final project.

Teaching tools

Slides by the teacher

Office hours

See the website of Elena Morotti