Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Artificial Intelligence - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
12
B
INF/01
2 modules among the following (A.A. 2024/2025 Network Science not activated)
6
C
ING-INF/05
6
C
INF/01
6
C
FIS/02
6
C
INF/01
6
C
MAT/08
6
C
MAT/09
6
C
INF/01 ,ING-INF/05
6
C
INF/01
6
C
FIS/02
6
C
INF/01
6
C
MAT/06
1 module among the following
6
C
SECS-S/06
6
C
IUS/07
6
C
IUS/02
6
C
M-FIL/02
6
C
IUS/08
6
C
IUS/17
6
C
IUS/04
6
C
IUS/01

2° Year  It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
6
C
INF/01
Final exam
18
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
6
C
INF/01
Final exam
18
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
2 modules among the following (1st year: Knowledge representation, Natural language processing, HCI Intelligent interfaces - 2nd year: AI & Cloud - 1st and 2nd year: Computer Vision & Deep learning)
6
B
INF/01
6
B
INF/01
6
B
ING-INF/05
6
B
INF/01
6
B
ING-INF/05
Between the years: 1°- 2°
2 modules among the following (1st year: Knowledge representation, Natural language processing, HCI Intelligent interfaces - 2nd year: AI & Cloud, Visual intelligence, Statistical learning - 1st and 2nd year: Computer Vision & Deep Learning)
6
C
INF/01
6
C
INF/01
6
C
ING-INF/05
6
C
INF/01
6
C
ING-INF/05
6
C
INF/01
6
C
ING-INF/06
Between the years: 1°- 2°
12
D
-
Between the years: 1°- 2°
Further activities: 3 CFU training and 3 CFU further language skill or 6 CFU training. International students (i.e. students who do not have an Italian bachelor’s degree) must compulsorily gain 3 CFU of Italian language skills (at least A2 level) and 3 CFU training.
6
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Explainable AI  (It will be activated in the A.Y. 2025/2026)

Teaching code

4S010683

Credits

6

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICA

Learning objectives

This course delves into artificial intelligence (AI) methods, with the aim of providing the means to understand the "why" and "how" of their results. After introducing the basic concepts of explainable AI, including a taxonomy of existing methods, the main state-of-the-art approaches and algorithms will be explained in detail. Particular emphasis will be given to AI techniques that can be explained or interpreted by construction, i.e., that ensure easy readability by humans, increasing trust in AI. In this context, the focus will be mainly on causal analysis and neurosymbolic approaches. The theoretical part will be complemented by practical sessions in which concepts and algorithms will be implemented and/or applied in specific case studies.

Educational offer 2024/2025

ATTENTION: The details of the course (teacher, program, exam methods, etc.) will be published in the academic year in which it will be activated.
You can see the information sheet of this course delivered in a past academic year by clicking on one of the links below: