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

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
9
A
MAT/03
6
A
MAT/05
12
C
BIO/09 ,BIO/16
9
B
ING-INF/05
6
A
CHIM/07
12
A
INF/01
6
A
FIS/01

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

ModulesCreditsTAFSSD
12
A
MAT/05 ,MAT/07
9
B
ING-IND/13
6
A
FIS/01
12
B
ING-INF/01
9
B
ING-INF/06
6
C
ING-IND/22

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

ModulesCreditsTAFSSD
6
C
M-FIL/03 ,M-PSI/08
6
B
ING-INF/05
6
B
ING-INF/04
6
B
ING-IND/34
6
C
ING-INF/04
1 module among the following
6
C
ING-INF/05
6
C
ING-INF/06
6
C
ING-IND/06
6
C
ING-INF/05
6
C
ING-INF/06
6
C
ING-INF/05
6
C
ING-INF/06
6
C
MED/33 ,M-EDF/02
6
C
BIO/09 ,MED/01
6
C
MED/18 ,MED/37
6
C
ING-INF/05
6
C
ING-INF/05
6
C
ING-INF/05
English B1
3
E
-
Final exam
6
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
12
D
-
Between the years: 1°- 2°- 3°
Altre attività formative: lo studente può scegliere tra le 2 seguenti opzioni:
a) 2 CFU di seminari - di cui 1 CFU al 1 anno e 1 CFU al 2 anno - e 7 CFU di tirocinio al 3 anno; 
b) 9 CFU di tirocinio al 3 anno. Non sono previste ulteriori opzioni.
7
F
-
9
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

Introduction to system and signal analysis with laboratory  (2023/2024)

Teaching code

4S009872

Academic staff

Riccardo Muradore, Ilaria Boscolo Galazzo

Coordinator

Riccardo Muradore

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/06 - ELECTRONIC AND INFORMATICS BIOENGINEERING

Period

Semester 2 dal Mar 4, 2024 al Jun 14, 2024.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

Aim of the course is to give students the mathematical tools required for the analysis and modeling of linear, time-invariant (LTI) systems, and of the input/output signals to an LTI system. The model will allow students to study the main system properties and to address the general concepts of controller and filters to perform simple control actions on the dynamic system and filter operations on the input/output signals. The mathematical tools will be based on analysis methods in the time domain, as well as of the complex variables s, z and the frequency of the input/output signals. Analysis and synthesis will be carried out both for continuous and discrete time systems and signals. The theoretical concepts acquired during the course will be consolidated with exercise sessions addressing the solution of basic problems with analytical approach and with numerical simulations.

Prerequisites and basic notions

The course requires knowledge in Mathematical Analysis I and II, Physics I and II, Linear Algebra and Geometry, Fundamentals of Computer Science. Notions of Programming are also required (e.g., Java, C / C ++, Python).

Program

------------------------------------------
Program - THEORY
------------------------------------------
1. Introduction to the world of systems and signals.
2. Review of complex numbers, functions of complex variables, complex power series, convergence, Euler's formula.
3. Continuous time signals. Time domain: definitions, energy and power, fundamental signals.
4. Continuous-time systems: description using differential equations. Main properties: stability.
5. Linear time-invariant systems: impulse response, frequency response. Convolution. Bode diagrams.
6. The Laplace transform, the transfer function and the analysis of systems in s.
7. Frequency domain: Fourier series, Fourier transform.
8. Sampling theorem.
9. Discrete time signals. Study over time: definitions, fundamental signals.
10. Discrete time systems. Fundamental systems and definitions. Convolution. Filters: impulse response, forced response. ARMA model.
11. Frequency domain: Fourier transform and zeta transform. 12. Generalization to multidimensional signals.

-------------------------------------------
Program - LABORATORY
-------------------------------------------
During the laboratory sessions, some of the methodologies analyzed in the theory part will be deepened and problems will be solved, mainly using MATLAB. The software will be introduced and used to represent/analyze continuous and discrete signals and systems.

Bibliography

Vai alla bibliografia
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

The course will consist of lectures in the classroom, along with shared slides, notes and possible additional material that could be useful to deepen the topics, and practical exercises at the computer in the laboratory.

Learning assessment procedures

The exam consists of two parts, theory and laboratory. The theory (written) part consists of theoretical questions regarding the topics covered during the course together with some exercises, all aimed at evaluating both the level of learning and understanding of the theoretical foundations studied during the course and the ability to critically apply them for solving engineering problems. The laboratory test will be carried out at the computer and will allow to evaluate the ability to use MATLAB in the field of systems and signals, with coding of short scripts for solving specific questions relating to the topics covered.

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

At the end of the course the student will have to demonstrate that:
1. they have fully understood the main topics inherent to systems and signals, both in continuous and discrete context, and of the related terminology;
2. have a critical view of the topics addressed during the course and of the results derived from the application of specific methods;
3. knowing how to apply the knowledge acquired to critically solve given engineering problems with varying degrees of complexity;
4. have achieved a good degree of competence in the use of IT tools for the analysis of systems and signals, especially the MATLAB software.
Both parts (theory and laboratory) will be carefully evaluated, thus giving equal importance to the correctness and effectiveness of the solutions adopted in the phase of solving concrete problems, as well as to the understanding of the theoretical concepts relating to systems and signals.
Concerning the composition of the final grade, this will be given by the sum of the evaluations of the theory part (2/3) and of the laboratory part (1/3). The exam is considered passed if in each of the two parts a score greater than or equal to 18 is achieved. Each evaluation remains valid for the entire current academic year.

Criteria for the composition of the final grade

The final grade will be given by the sum of the evaluations of the theory part (2/3) and the laboratory part (1/3). The exam is considered passed if in each of the two parts a score greater than or equal to 18 is achieved. Each evaluation remains valid for the entire current academic year

Exam language

Italiano / Italian