Teaching

At the University of Cagliari I teach courses in statistics and statistical learning for Master's, Bachelor's and Ph.D. programs, and I lecture in international summer schools on preference and ordinal data.

Current courses — AY 2025/2026

Master's Degree

Big Data Analysis

Master in Data Science, Business Analytics, and Innovation · 6 ECTS · 36 hours

Statistical Learning

Master in Economics, Finance and Data Analysis (fully in English) · 6 ECTS · 36 hours

International summer schools

Rank aggregation, heuristics & preference learning

PREFSTAT 2026 — Third Summer School on Preference, Ranking & Ordinal Data · Universidad de Valladolid, Spain · June 2026 · 3h (English)

Rank aggregation, heuristics & preference learning

PREFSTAT 2025 — Second Summer School on Preference, Ranking & Ordinal Data · Universitetet i Oslo, Norway · June 2025 · 3h (English)

Basic preference learning: rank aggregation, distance-based models

PREFSTAT 2024 — First Summer School · University of Cagliari · September 2024 · 3h (English)

Ph.D. courses

Quantitative Methods

Ph.D. School, University of Cagliari · Fall 2024 · 8h (English)

An introduction to Statistical Textual Analysis

National Ph.D. course, University of Pavia & University of Cagliari · Summer 2024 · 8h (English)

MOOCs — EDVANCE project, University of Cagliari

Introduction to computational statistics

9 hours of video lectures · AY 2025/2026 · edvance.it

Bivariate analysis and fundamentals of probability theory

9 hours of video lectures · AY 2025/2026

Statistical inference

9 hours of video lectures · AY 2025/2026

Introduction to statistical models

9 hours of video lectures · AY 2025/2026

Past courses (selected)

Master's

Big Data Analysis

Master in Data Science, Business Analytics & Innovation · 6 ECTS · AY 2024/2025, 2023/2024 (co-prof.)

Statistical Learning

Master in Economics, Finance and Data Analysis (English) · 6 ECTS · AY 2024/2025

Statistical Learning Methods for Data Science

Master in Economics, Finance and Public Policies · 6 ECTS · AY 2022/2023

Quantitative Methods for Management

Master in Managerial Economics — International Management · 9 ECTS · AY 2020/2021, 2021/2022

Undergraduate

Probability and Statistical Inference

B.Sc. in Applied Computer Science and Data Analytics · 6 ECTS · AY 2023/2024

Applied Statistics for Natural Sciences

B.Sc. in Environmental and Natural Sciences · 6 ECTS · AY 2021/2022

Thesis supervision

I supervise Master's theses in the programs Data Science, Business Analytics e Innovazione, Economia Manageriale, Economia, Finanza e Politiche Pubbliche, and Innovazione Sociale e Comunicazione. Since 2022 I have supervised or co-examined more than twenty Master's theses on topics including NLP applied to news framing, customer satisfaction analysis, biomedical entity matching, multiclass text classification with green-computing constraints, and topic modeling on tourism data. A complete list is available in my CV.

Currently supervising (selection): F. Tiddia (iTBNB: a modern Naïve Bayes classifier in Python), G. Ibba (Weakly-supervised lens segmentation for cataract detection — Best Paper Award, IEEE BIP 2025), P. Marongiu (Time-tracking analysis framework).

Prospective students. If you are interested in writing a thesis on text analysis, preference learning, or interpretable classification methods, feel free to email me a brief outline of your interests together with a transcript of your exams.