- Docente: Giuseppe Magro
- Crediti formativi: 6
- SSD: ING-INF/05
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Food Animal Metabolism and Management in the Circular Economy (cod. 5814)
Conoscenze e abilità da conseguire
At the end of the course the student is in possession of the basic knowledge of cutting-edge models and applications of artificial intelligence, with particular attention to machine learning. In particular, they are able to have a practical vision to select the appropriate methods to solve concrete problems
Contenuti
1 Decision Support Systems
- The concept of dynamic system and sustainability
- The structure of the decision-making process
- Classic and new generation decision support systems
- Operational techniques for implementing evidence based decision support systems
2 The Mathematical Models for Data Science
- Methods for developing mathematical models for business
- Classification and clustering regression algorithms
- Data Mining and automatic learning methods
- Operational data exploration tools for Business
3 Machine Learning
- Methodological and functional framework of learning systems
- Machine learning operational tools
- Analytical Platforms for Data Science from an ESG perspective
4 Applications of Machine Learning to concrete business cases
- Operational tools of E-governance for the Business
- Practical applications of ML for supervised learning predictions and recommendations
- Exercises of co-design of monitoring systems of ESG Business performances
Orario di ricevimento
Consulta il sito web di Giuseppe Magro