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

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 Computer Engineering for intelligent Systems - 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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
6
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/04
12
C
ING-INF/06

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

ModulesCreditsTAFSSD
3 modules among the following
6
C
ING-INF/06
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
6
C
ING-INF/04 ,MED/50
24
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
3 modules among the following
6
C
ING-INF/06
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
6
C
ING-INF/04 ,MED/50
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
4 modules among the following:
- 1st year: Advanced visual computing and 3d modeling, Computer vision, Embedded & IoT systems design, Embedded operating systems, Robotics 
- 2nd year: Advanced control systems
6
B
ING-INF/04
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/04
6
B
ING-INF/05
Between the years: 1°- 2°
12
D
-
Between the years: 1°- 2°
Further activities
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

Metodi avanzati per l’elaborazione dei segnali biomedici  (It will be activated in the A.Y. 2025/2026)

Teaching code

4S012366

Credits

6

Scientific Disciplinary Sector (SSD)

ING-INF/06 - BIOINGEGNERIA ELETTRONICA E INFORMATICA

Learning objectives

The aim of this course is to equip students with a fundamental understanding of advanced methods and models used in biomedical signal processing, developing the ability to analyze and solve problems of significant relevance to the biomedical field. At the end of the course, students will be able to: •demonstrate a comprehensive knowledge of the advanced methods for biomedical signals processing; •use the acquired theoretical and practical knowledge to formulate, analyze and solve problems in bioengineering; •assess the traditional methods in the biomedical sciences in order to identify strengths and weaknesses. Overall, this course will equip students with the foundational knowledge and skills needed to effectively process, analyze, and interpret biomedical signals. It will also provide students with the ability to critically evaluate existing approaches and develop novel solutions to address real-world biomedical challenges.