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.

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 in Informatica - 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.

2° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
6
C
ING-INF/04
12
B
ING-INF/05

3° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
12
B
ING-INF/05
Final exam
6
E
-
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
6
C
ING-INF/04
12
B
ING-INF/05
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
12
B
ING-INF/05
Final exam
6
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
Training
6
F
-
Between the years: 2°- 3°

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S00075

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Semester 1  dal Oct 1, 2024 al Jan 31, 2025.

Courses Single

Authorized

Prerequisites and basic notions

Programming, algorithms, logic, probability, at the level offered by the bachelor degree in Computer Science.

Program

i) Problem solving: solving problems by searching; search in complex environments; constraint satisfaction problems;
ii) Knowledge, reasoning and planning: logic-based agents; knowledge representation; automated planning;
iii) Uncertain knowledge and reasoning: quantifying uncertainty; probabilistic reasoning; sequential decision making;
iv) Machine Learning: learning from examples; reinforcement learning.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Classroom lessons and laboratory lessons for assisted code production.

Learning assessment procedures

The exam consists of a project that includes a significant programming part or of a written exame, both modalities will focus on the solution techniques studied during the course

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

To pass the exam, students must demonstrate that they:
- have understood the principles underlying the techniques studied during the course;
- know how to apply the knowledge acquired to solve problems presented in the form of projects.

Criteria for the composition of the final grade

The final grade will be based on the evaluation of the written exam or on the evaluation of the project, the evaluation of the project includes an oral exam in which the project is presented to the teacher.

Exam language

Italiano.