Teaching

Teaching at Doctoral Level

Techniques for Big Data and Social Network Analysis

• XXXIX cycle, A.Y. 2024, second-year course, PhD Program in Big Data and Artificial Intelligence, Universitas Mercatorum, Rome, Italy

• XL cycle, A.Y. 2025, second-year course, PhD Program in Big Data and Artificial Intelligence, Universitas Mercatorum, Rome, Italy

Elements of Computer Science and Data Analysis

• XL cycle, A.Y. 2025, first-year course, PhD Program in Sustainability and ESG Agenda, Universitas Mercatorum, Rome, Italy

Quantitative Research Methodology

• XXXIX cycle, A.Y. 2024, first-year course, PhD Program in Sustainability and ESG Agenda, Universitas Mercatorum, Rome, Italy

• XL cycle, A.Y. 2025, first-year course, PhD Program in Sustainability and ESG Agenda, Universitas Mercatorum, Rome, Italy

Advanced Statistical Models and Data Management

• XXXVIII cycle, A.Y. 2023, first-year course, PhD Program in Big Data and Artificial Intelligence, Universitas Mercatorum, Rome, Italy

• XXXIX cycle, A.Y. 2024, first-year course, PhD Program in Big Data and Artificial Intelligence, Universitas Mercatorum, Rome, Italy

• XL cycle, A.Y. 2025, first-year course, PhD Program in Big Data and Artificial Intelligence, Universitas Mercatorum, Rome, Italy

Research Project Setup

• XXXIX cycle, A.Y. 2024, first-year course, PhD Program in Sustainability and ESG Agenda, Universitas Mercatorum, Rome, Italy

Postgraduate / Executive Education Teaching

Experimental Design for Policy and Economics (SECS-S/01)

• A.Y. 2025–2026, Master in Economic Policy and Governance for Development and Resilience, United Nations University – CRIS, Brussels, in collaboration with Universitas Mercatorum

• Duration: 24 hours per year, taught in English

Master’s Degree Teaching

Biostatistics (SECS-S/01)

• A.Y. 2022–2023, Master’s Degree in Data Science, University of Campania Luigi Vanvitelli, Caserta, Italy

• Duration: 48 hours, taught in English

Bachelor’s Degree Teaching

Introduction to Statistics (SECS-S/01)

• A.Y. 2023–2024, Bachelor’s Degree in Statistics and Big Data, Universitas Mercatorum, Rome, Italy, 54 hours

• A.Y. 2024–2025, Bachelor’s Degree in Statistics and Big Data, Universitas Mercatorum, Rome, Italy, 54 hours

• A.Y. 2025–2026, Bachelor’s Degree in Statistics and Big Data, Universitas Mercatorum, Rome, Italy, 54 hours

Statistics (SECS-S/01)

• A.Y. 2023–2024, Bachelor’s Degree in Business Management, Universitas Mercatorum, Rome, Italy, 48 hours

• A.Y. 2024–2025, Bachelor’s Degree in Business Management, Universitas Mercatorum, Rome, Italy, 48 hours

• A.Y. 2025–2026, Bachelor’s Degree in Business Management, Universitas Mercatorum, Rome, Italy, 48 hours

Statistical Learning (SECS-S/01)

• A.Y. 2019–2020, Bachelor’s Degree in Data Analytics, University of Campania Luigi Vanvitelli, Caserta, Italy, 56 hours, taught in English

• A.Y. 2020–2021, Bachelor’s Degree in Data Analytics, University of Campania Luigi Vanvitelli, Caserta, Italy, 56 hours, taught in English

• A.Y. 2021–2022, Bachelor’s Degree in Data Analytics, University of Campania Luigi Vanvitelli, Caserta, Italy, 56 hours, taught in English

• A.Y. 2022–2023, Bachelor’s Degree in Data Analytics, University of Campania Luigi Vanvitelli, Caserta, Italy, 56 hours, taught in English

Experimental Research Designs (SECS-S/02)

• A.Y. 2020–2021, Bachelor’s Degree in Data Analytics, University of Campania Luigi Vanvitelli, Caserta, Italy, 56 hours, taught in English

• A.Y. 2021–2022, Bachelor’s Degree in Data Analytics, University of Campania Luigi Vanvitelli, Caserta, Italy, 56 hours, taught in English

• A.Y. 2022–2023, Bachelor’s Degree in Data Analytics, University of Campania Luigi Vanvitelli, Caserta, Italy, 56 hours, taught in English

Bioinformatics (INF-01)

• A.Y. 2019–2020, Bachelor’s Degree in Data Analytics, University of Campania Luigi Vanvitelli, Caserta, Italy, 48 hours, taught in English

Mathematical Methods for Design (SECS-S/02)

• A.Y. 2022–2023, Bachelor’s Degree in Design and Communication, University of Campania Luigi Vanvitelli, Aversa, Italy, 48 hours

Computer Science (INF-01)

• A.Y. 2013–2014, Department of Architecture, University of Chieti-Pescara, Italy

• Topics included Statistics and Mathematics with Excel, R software, hardware, networks, and Photoshop

Teaching Support Activities at University Level

Teaching Assistant and Examination Committee Member
G. d’Annunzio University of Chieti-Pescara, Italy, 2011–2018

Activities carried out in the following courses:

• Probability and Statistics, Degree Course in Techniques for Environment and Territory

• Analysis and Evaluation of Educational Processes, Degree Course in Education and Training Sciences

• Integrated Course in Mathematics and Computer Science, Degree Course in Architecture

• Assessment Methods and Techniques, Master’s Degree Course in Pedagogical Sciences

• Statistical Models and Business Decisions, Service Assessment Methods, Statistics for Economic Decisions, Assessment of Public Services, Data Analysis for Strategic Choices, and Statistics for Management II, Degree Course in Economics and Management

• Geostatistics, Master’s Degree Course in Management and Socio-Economic Development

• Introduction to Statistics, Degree Course in Economics, Markets and Development

• Statistics for Enterprises, Degree Course in Economics and Management

• Statistics for Management, Degree Course in Economics and Management

Non-University Teaching

Training Activities within the IFTS Emilia-Romagna Programme

• 2025, Higher Technical Education and Training programme for “Technician for the economic and financial administration of sustainable enterprises”

• Emilia-Romagna Region, Ref. PA 2024-22106/RER, DGR 1746/2024, co-funded by ESF+ 2021–2027

• Teaching module: Mathematical and Statistical Tools for Business Management, 20 hours

Statistics and Didactic Innovation

• 2015, teacher training course, Abruzzo Region

• Duration: 10 hours

Computer Science (ECDL)

• 2002

• Topics: hardware, software, Office, Windows

• Certification: ECDL