Laboratory "football Analytics"
A.Y. 2023/2024
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.
- Knowledge of the main metrics in use, and knowledge of machine-learning algorithms aimed to calculate them.
Lesson period: Third trimester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
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