TeachingÂ
Thesis proposals
Within the data science and automatic verification laboratory, we have multiple theses available in the area of AI, machine learning, deep learning, databases, and formal methods applied to the contexts of mobile and positioning systems, healthcare, digital humanities, predictive maintenance and industrial applications. A more detailed presentation with projects for bachelor students is here reported. Master's dissertations may involve more complex topics closer to the actual research of the lab's members. For any other detail or a chat, reach out to Angelo Montanari, Andrea Brunello or myself.
Courses
AY 2023-24
Database systems. Master degree in Management Engineering, University of Udine.
48 hours; lead professor. Material available on Uniud's Microsoft Teams.
AY 2022-23
Database systems. Bachelor degrees in Internet of things, Big Data, Machine Learning, & Computer Science, University of Udine.
12 hours; main professor Angelo Montanari. Covered topics: SQL (DDL and DML) DBMSs, and concurrency. Material available on Uniud's Microsoft Teams.
AY 2021-22
Database systems. Bachelor degrees in Internet of things, Big Data, Machine Learning, & Computer Science, University of Udine.
24 hours; main professor Angelo Montanari. Covered topics: SQL (DDL and DML) DBMSs, and concurrency. Material available on Uniud's Microsoft Teams.Machine and Deep Learning course. National PhD in Artificial Intelligence program.
Invited Lecture (with Andrea Brunello). Interpretability in practice: a gentle introduction and case studies. Slides.
AY 2020-21
Foundation of data science. Bachelor degree in Internet of things, Big Data, Machine Learning, University of Udine.
24 hours; main professor Massimo Franceschet. Covered topics: Big data, text mining. Material available on Uniud's Microsoft Teams and here.