90905 - Workshop 1 (WS6)

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

Data Science: Introduction, examples, process analysis.

- Machine Learning: classification, examples, tools and techniques of ML

- Algorithms of ML: Support Vector Machines (SVM) and Neural Networks

-Introduction to programming in Python

Teaching methods

Lectures and Laboratory lessons

Assessment methods

Evaluation of the Laboratory exercises and of a final written report.

Teaching tools

slides of the teacher

Office hours

See the website of Elena Loli Piccolomini