Laboratory "football Analytics"

A.Y. 2023/2024
3
Max ECTS
20
Overall hours
SSD
INF/01
Language
English
Learning objectives
This Lab aims to introduce students to football analytics, with the goal that by the end of the course, students will be able to understand the main sources and types of data, the metrics and algorithms most used, as well as what are the main future challenges. The Lab includes a series of lectures, where the theoretical activity will be explained, and a group activity where students will be asked to build a small algorithm by participating in an internal hackathon on current match data.
Expected learning outcomes
- Knowledge of the current status of the football analytics and the kinds of data adopted;
- Knowledge of the main metrics in use, and knowledge of machine-learning algorithms aimed to calculate them.
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
Third trimester
INF/01 - INFORMATICS - University credits: 3
Laboratory activity: 20 hours