Artificial Intelligence Systems — Università degli Studi di Trento, Trento

Il piano degli esami

Curricula: Methodologies and Applications, AI and Innovation, Systems, Neurocognitive Architectures. Qui sotto: Methodologies and Applications.

1° anno

• Deep Learning Lab — 6 CFU
• Foundations of Artificial Intelligence — 12 CFU
• Machine Learning — 12 CFU
• Natural Language Understanding — 6 CFU
• Scegliere un corso tra i seguenti (1 attività didattica) (scegli 1 esame): Law and Ethics in Artificial Intelligence 6 CFU; Markov Decision Processes and Reinforcement Learning 6 CFU; Signal, Image and Video 6 CFU
• Artificial and biological neural systems — 6 CFU
• Automated Reasoning — 6 CFU
• Introduction to Robotics — 6 CFU
• Path Computer Vision: insegnamenti obbligatori (6 CFU) (scegli 6 CFU): Computer vision 6 CFU

2° anno

• Internship — 6 CFU
• Thesis — 24 CFU
• Scelta vincolata: scegli 18 crediti pescando tra gli insegnamenti elencati qui sotto e quelli disponibili al 1° anno (18 CFU) (scegli 18 CFU): Automated Planning: Theory and Practice 6 CFU; Autonomous Software Agents 6 CFU; Bio-Inspired Artificial Intelligence 6 CFU; Human-Machine Dialogue 6 CFU
• Advanced Computer Vision — 6 CFU
• Trends and Applications of Computer Vision — 6 CFU
• Path Methodologies: i seguenti insegnamenti più 6 crediti da Advanced Computer Vision o dai corsi a scelta vincolata (18 CFU) (scegli 6 CFU): Advanced Topics in Machine Learning and Optimization 6 CFU; Foundation Models 6 CFU
• Distributed Robot Perception — 6 CFU
• Optimisation and Learning for Robot Control — 6 CFU
• Robot Planning and its application — 6 CFU
• Foundation Models — 6 CFU
• Knowledge Graphs — 6 CFU
• Path Humans and AI: scegli un corso tra i seguenti (6 CFU) (scegli 6 CFU): Advanced HCI 6 CFU; Artificial General Intelligence 6 CFU; Studies on human behaviour 6 CFU
• Scegliere 12 crediti liberi fra gli insegnamenti sotto e quelli attivati dal Corso di Laurea Magistrale in Artificial Intelligence Systems (12 CFU) (scegli 12 CFU): Causality 6 CFU