- Docente: Matteo Amabili
- Credits: 6
- SSD: STAT-04/A
- Language: English
- Moduli: Matteo Amabili (Modulo 1) Antonio Petruccelli (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Greening Energy Market and Finance (cod. 6693)
Learning outcomes
At the end of the course students will have a good knowledge of machine learning and Artificial Intelligence. They will be able to apply these techniques to problem related to climate change and sustainability.
Syllabus
The syllabus has not been published yet.
Office hours
See the website of Matteo Amabili
See the website of Antonio Petruccelli