Pio Zingaro

Adjunct Professor University of Bologna

Assistant professor of computer science at the department of computer science at the University of Bologna.
He carries out research and teaching activities in the field of artificial intelligence and machine learning, focusing on the development of predictive models to prevent early school leaving.
He graduated in computer science at Trento University in 2011 and in bioinformatics at Bologna University in 2014.
In 2020, he defended the PhD thesis in computer science at Bologna University on the use of service-oriented programming paradigms for modern large-scale distributed systems.
Author of several international scientific publications in the fields of artificial intelligence and software engineering, and on these topics he participates in numerous national and European projects and organises international schools, seminars and conferences.


The course will give some insights of Decision Support Systems from two orthogonal perspectives: an optimization-based approach, based on symbolic AI (1st part) and a data-driven approach, based on sub-symbolic AI (2nd part).
Upon completing the entire learning process, students should be able to:
• get an overall idea of what DSS are, and how to handle them from different perspectives
• identify decision problems addressable with a data-driven approach
• know the basics of modeling with constraints and MiniZinc

Artificial Intelligence and Innovation Management

This course aims to provide participants with a comprehensive understanding of machine learning methodologies and their applicability in various business sectors. Consisting of three intensive lectures, the course covers fundamental machine learning principles, advanced learning paradigms, different data representations, and essential business analytics tools. The course also includes real-world case studies to ensure practical applicability.

Artificial Intelligence for Business

This course is designed to provide participants with an understanding of how artificial intelligence (AI) can be used to create value in various business contexts. In this course, participants will learn how to identify opportunities to apply AI in different business areas, such as marketing, finance, operations, and customer service.

Hybrid MBA English edition