FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE
FONDAMENTI DI INTELLIGENZA ARTIFICIALE
| A.Y. | Credits |
|---|---|
| 2022/2023 | 6 |
| Lecturer | Office hours for students | |
|---|---|---|
| Sara Montagna | By appointment |
| Teaching in foreign languages |
|---|
|
Course with optional materials in a foreign language
English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language. |
Assigned to the Degree Course
| Date | Time | Classroom / Location |
|---|
| Date | Time | Classroom / Location |
|---|
Learning Objectives
Introduction to main principles and methods in Artificial Intelligence. The role of Intelligent Agents, planning and acting in the real world.
Program
01. Introduction to AI
01.01 History and foundations
01.02 Overview of the problems tackled in AI
01.03 Main research areas and application fields
02. Intelligent Agents
02.01 Principal architectures
03 Problem solving
03.01 State space and related problem solving methods
03.02 Non-informed and informed search methods
03.03 Adversarial search: games
04 Logic and reasoning
04.01 First-order logic
04.02 Rule-based systems
04.03 Knowledge-based systems
04.04 Knowledge representation and ontologies
05 Uncertainty in knowledge representation and reasoning
05.01 Probabilistic Reasoning
05.02 Bayesian Network
05.03 Markov Decision Process
05.04 Reinforcement Learning
06 Languages for Artificial Intelligence.
06.01 Prolog: from logic to logic programming,
06.02 Prolog programs as solvers
06.03 Design and development of simple Prolog programs for inference and Java for agent reasoning cycle
Bridging Courses
There are no mandatory prerequisites.
Teaching Material
The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it
Teaching, Attendance, Course Books and Assessment
- Teaching
Theory lectures and laboratory exercises.
- Attendance
Although strongly recommended, course attendance is not mandatory.
- Course books
S. J. Russel, P. Norvig: "Artificail Intelligence: A modern approach", Prentice Hall, Last or previous edition.
- Assessment
The final exam consists of a written test, of duration of two hours, organized as a set of exercises and open questions choose by all the topics presented in the course. The total marks for the test sum up to 32 points, with a minimum threshold of 18/32 points; below the threshold the test is considered as "failed".
- Disabilità e DSA
Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.
A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.
| « back | Last update: 26/04/2023 |
