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. 2026/2027 A.A. 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
A
INF/01
6
A
MAT/02
12
A
MAT/05
12
B
ING-INF/05
6
C
MAT/06
6
C
MAT/01
English B2
6
E
-

2° Year  It will be activated in the A.Y. 2026/2027

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

3° Year  It will be activated in the A.Y. 2027/2028

ModulesCreditsTAFSSD
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
C
INF/01
One module to be chosen among the following
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
FIS/01
6
C
INF/01
6
C
INF/01
Final exam
6
E
-
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
12
A
INF/01
6
A
FIS/01
12
B
INF/01
6
B
INF/01
6
B
INF/01
12
B
ING-INF/05
6
C
MAT/01
It will be activated in the A.Y. 2027/2028
ModulesCreditsTAFSSD
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
C
INF/01
One module to be chosen among the following
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
FIS/01
6
C
INF/01
6
C
INF/01
Final exam
6
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
Training
6
F
-
Between the years: 2°- 3°
12
D
-

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

Algorithms  (2026/2027)

Teaching code

4S02709

Teacher

Roberto Segala

Coordinator

Roberto Segala

Credits

12

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

II semestre, I semestre

Courses Single

Authorized

Lessons timetable Seminars 0

Learning objectives

The course objective is to provide the foundamental tools to design algorithmic solutions for concrete programs. The algorithms are evaluated and compared based required amount of resources. At the end of the course the student will have to demonstrate knowledge and understanding of the main algorithms for the problems of sorting, selection, priority queues, visit of graphs, shortest paths, minimum spanning trees, maximum flow; have ability to apply acquired knowledge and understanding skills to compare algorithms on the basis of their complexity; know how to choose the right algorithm for a specific situation; know how to develop the skills necessary to expand the knowledge learned in order to understand algorithmic solutions to new problems.