Within the Data Science and Automatic Verification Laboratory, we have multiple theses available in the areas 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. Please, have a look at a list of possible topics in the next presentation! For further details or a chat, reach out to myself, Angelo Montanari or Nicola Saccomanno.
Digital Media e Beni Culturali / Laboratorio di Informatica per Umanisti. Bachelor's degree, University of Udine. 40 hours. Material available on the UniUD's e-learning website.
Knowledge Structures and Artificial Intelligence. Bachelor's degree, University of Udine. 80 hours. Material available on the UniUD's e-learning website.
Digital Media e Beni Culturali / Laboratorio di Informatica per Umanisti. Bachelor's degree, University of Udine. 40 hours. Material available on the UniUD's e-learning website.
Databases. Bachelor's degree, University of Udine. 40 hours. Material available on the UniUD's e-learning website.
Interpretability in Practice: A Gentle Introduction and Case Studies. National PhD programme in Artificial Intelligence. 6 hours. The material is available here.
Big Data Management, Analysis and Presentation. Bachelor's degree, University of Nova Gorica (Slovenia). 10 hours. Material available here.
Digital Media e Beni Culturali / Laboratorio di Informatica per Umanisti. Bachelor's degree, University of Udine. 40 hours. Material available on the UniUD's e-learning website.
Databases. Bachelor's degree, University of Udine. 40 hours. Material available on the GitHub page of the course.
Data Management for Big Data. Master programme course, University of Udine. 12 hours. Material available on the GitHub page of the course.
Interpretability in Practice: A Gentle Introduction and Case Studies. National PhD programme in Artificial Intelligence. 6 hours. The material is available here.
Data Modeling: From Relational Databases to Big Data. Summer School on Deep Tech training with Impact on Entrepreneurship and Innovation. Founded by the EU within the REGINNA 4.0 Project. University of Nova Gorica (Slovenia), University of Udine (Italy), University of Leòn (Spain), Vasyl Stefanyk Precarpathian National University (Ukraine). 6 hours.
Data Management for Big Data / Advanced Database Systems for Big Data. Master's degree, University of Udine / University of Trieste. 48 hours. Material available on the GitHub page of the course.
Data Management for Big Data. Master programme course, University of Udine. 12 hours. Material available on the GitHub page of the course.
Tecnologie Digitali per il Cibo e la Ristorazione. Bachelor's degree, University of Udine. 42 hours. Material available on the GitHub page of the course.
Data Management for Big Data. Master programme course, University of Udine. 8 hours. Material available on the GitHub page of the course.