Welcome! This is the home page of the "Artificial Intelligence and Machine Learning - Unit I" course, taking place in the summer semester of the 2026/2027 academic year.
The course is part of the Bachelor's Degree in Applied Computer Science and Artificial Intelligence (ACSAI) -- Sapienza University of Rome -- organized by the department of Computer Science (DI).
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Classes start on February TBD 2026 (in agreement with the ACSAI class schedule).
The course takes place in Aula TBD on:
(TBD)
(TBD)
Prof. Fabio Galasso, web-page, email: galasso remove_this @di DOT uniroma1 DOT it
Main topics of the course:Â
Introduction to Artificial Intelligence (AI), history and areas of AI
Agents, rationality, task environments
Non-informed search strategies: breadth-first, min-cost, depth-first, bounded depth, iterative deepening
Informed search strategies: best-first greedy, A*, heuristics: admissibility and consistency
Constraint Satisfaction Problems: definition, variants, constraint propagation (node-, (generalised-)arc-, path-, K-consistency), backtracking, backjumping, local search
Knowledge and reasoning, logic-based agents, propositional logic, SAT
Markov Decision Process, Value iteration, Policy Iteration
Passive Reinforcement learning (model-based e model-free), Active Reinforcement Learning (Q-learning)