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.

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
Primo semestre Oct 3, 2022 Jan 27, 2023
Secondo semestre Mar 6, 2023 Jun 16, 2023

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

B C E F G M P Q R S V

Belussi Alberto

alberto.belussi@univr.it +39 045 802 7980

Bombieri Nicola

nicola.bombieri@univr.it +39 045 802 7094

Calanca Andrea

andrea.calanca@univr.it +39 045 802 7847

Castellani Umberto

umberto.castellani@univr.it +39 045 802 7988

Ceccato Mariano

mariano.ceccato@univr.it

Cristani Marco

marco.cristani@univr.it +39 045 802 7841

Cubico Serena

serena.cubico@univr.it 045 802 8132

Enrichi Francesco

francesco.enrichi@univr.it +390458027051

Farinelli Alessandro

alessandro.farinelli@univr.it +39 045 802 7842

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

Fummi Franco

franco.fummi@univr.it 045 802 7994

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Meli Daniele

daniele.meli@univr.it

Menegaz Gloria

gloria.menegaz@univr.it +39 045 802 7024

Muradore Riccardo

riccardo.muradore@univr.it +39 045 802 7835

Murino Vittorio

vittorio.murino@univr.it 045 802 7996

Muscolo Giovanni Gerardo

giovannigerardo.muscolo@univr.it

Pianezzi Daniela

daniela.pianezzi@univr.it

Pravadelli Graziano

graziano.pravadelli@univr.it +39 045 802 7081

Quaglia Davide

davide.quaglia@univr.it +39 045 802 7811

Quintarelli Elisa

elisa.quintarelli@univr.it +39 045 802 7852

Romeo Alessandro

alessandro.romeo@univr.it +39 045 802 7974-7936; Lab: +39 045 802 7808

Setti Francesco

francesco.setti@univr.it +39 045 802 7804

Villa Tiziano

tiziano.villa@univr.it +39 045 802 7034

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 enrolment year.

ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Smart Systems & Data Analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
INF/01
6
B/C
ING-INF/05
ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05

1° Year

ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Smart Systems & Data Analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
INF/01
6
B/C
ING-INF/05

2° Year

ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Between the years: 1°- 2°
Further activities
3
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S009021

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

ING-INF/01 - ELECTRONIC ENGINEERING

The teaching is organized as follows:

Teoria

Credits

4

Period

Primo semestre

Academic staff

Alessandro Romeo

Laboratorio

Credits

2

Period

Primo semestre

Academic staff

Francesco Enrichi

Learning objectives

The course aims to educate students on advanced theoretical and technological aspects of integrated electronic devices and sensors of signals and data. The main objective of the course is therefore to provide the principles of physics of integrated devices, knowledge of the technology of optical, thermoelectric, magnetic and gas sensors, their interface with advanced software applications as well as the methods of use of the same in the environment robotic and manufacturing. Upon completion of the course, the student would demonstrate the acquisition of the fundamental knowledge of the technology, functioning and applications of integrated electronic devices and sensors. This knowledge will allow the student to: i) understand the behavior of integrated electronic devices; ii) select and apply sensors for the acquisition of signals and data in a robotic and manufacturing environment; iii) interface sensors to signal and data processing applications. After this course, the student will have acquired the ability to independently assess the advantages and disadvantages of different technological and design solutions in the field of integrated electronic devices and signal and data acquisition sensors. In addition, he will be able to: i) carry out a group laboratory project and present its results by motivating the choices made with language appropriateness: ii) autonomously continue the study and research in the field of integrated electronic devices and acquisition of signals and data, addressing advanced issues both in the industrial and scientific fields.

Prerequisites and basic notions

In order to properly follow the lectures it is strongly recommended to have already acquired knowledge on classical physics (laws of motion, work, energy, electric field, electric potential).

Program

In order to properly follow the lectures it is strongly recommended to have already acquired knowledge on classical physics (laws of motion, work, energy, electric field, electric potential).

The course consists of theoretical section and two different experimental sections in the lab (simulation and hardware).

Topics:

Elements of Classical Physics and Atomic Physics: work and energy, electric field and potential, electric current, Ohm's law, linear circuits resistivity and temperature dependence in metals and semiconductors, the Bohr model, the periodic table of the elements

Crystal structure and electrical properties of metals, semiconductors and doped semiconductors: gas model of electrons in metals as a link model in semiconductors, concept of gap, doped semiconductors, nods to the band theory, conduction current and dissemination

P-n junction: non-polarized and polarized junction, ddp contact, voltage-current characteristic in forward and reverse bias, junction diode, Zener diode, OR / AND gates to diodes, switching times

Bipolar junction transistor BJT, input curves and in common emitter configuration output, common base, inverter, transfer rates characteristic and noise margins, switching times

Transitor in the field of JFET and MOSFET effect, manufacturing techniques, output and transfer curves, MOSFET and CMOS inverters, transfer characteristics, noise margins, switching times

Elementary digital circuits in MOS technology, CMOS, bipolar, ECL: NOR and NAND MOSFET and CMOS, NAND DTL, HTL, TTL, OR / NOR ECL

Comparison of logic families: propagation delay, power dissipation, fan-out, noise margins

-Laboratory (software) with circuit simulation with Micro Cap (12 hours).
-Laboratory (hardware) with circuit fabrication on pre-prepared electronic cards (12 hours).

The complete teaching material is available on the e-learning portal.

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

The lectures explain the theory with reference of practical applications.

Learning assessment procedures

The final test will be an oral exams on the topics covered in the lectures.
Specifically a small report (thesis) on a specific topic developed in the course, for example a particular device and/or sensor. The student will present his work by an oral presentation (for example in power point) where questions on the basic physics principles of semiconductors and of electronic devices might arise.

Evaluation criteria

Knowledge of semiconductor theory will be evaluated, and above all technical and scientific applications such as the manufacture of sensors, devices, automatic machines.

Criteria for the composition of the final grade

Evaluation of the proposed thesis and of the basic knowledge of the course program.

Exam language

English

Type D and Type F activities

The educational activities of type D are chosen by the student, those of type F are further knowledge useful for entering the world of work (internships, soft skills, project works, etc.). According to the Didactic Regulations of the Course, some activities can be chosen and included autonomously in the booklet, others must be approved by a special committee to verify their consistency with the study plan. Type D or F educational activities can be covered by the following activities.

1. Teachings taught at the University of Verona.

Include the teachings listed below and/or in the Course Catalogue (which can also be filtered by language of delivery via Advanced Search).

Booklet entry mode: if the teaching is included among those listed below, the student can include it autonomously during the period in which the study plan is open; otherwise, the student must submit a request to the Secretariat, sending the form to carriere.scienze@ateneo.univr.it during the period indicated.

2. CLA certificate or language equivalency.

In addition to those required by the curriculum, the following are recognized for those matriculated from A.Y. 2021/2022:

  • English language: 3 CFUs are recognized for each level of proficiency above the one required by the course of study (if not already recognized in the previous course of study).
  • Other languages and Italian for foreigners: 3 cfu are recognized for each proficiency level starting from A2 (if not already recognized in the previous study cycle).

These cfu will be recognized, up to a maximum of 6 cfu in total, as type F if the teaching plan allows, or as type D. Additional elective credits for language knowledge may be recognized only if consistent with the student's educational project and if adequately justified.

Those enrolled until A.Y. 2020/2021 should consult the information found here.

Booklet entry mode: request the certificate or equivalency to the CLA and send it to the Student Secretariat - Careers for career entry of the exam, via email: carriere.scienze@ateneo.univr.it

3. Soft skills

Discover the training paths promoted by the University's TALC - Teaching and learning center, intended for students regularly enrolled in the academic year of course delivery https://talc.univr.it/it/competenze-trasversali

Booklet entry mode: the teaching is not expected to be included in the curriculum. Only after obtaining the Open Badge, the CFUs in the booklet will be automatically validated. The registration of CFUs in career is not instantaneous, but there will be some technical time to wait.  

4. Stage/internship period

In addition to the CFUs required by the curriculum (check carefully what is indicated on the Didactic Regulations): here information on how to activate the internship. 

Check in the regulations which activities can be Type D and which can be Type F.

Teachings and other activities that can be entered autonomously in the booklet

Modules not yet included

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.

Graduation

List of theses and work experience proposals

theses proposals Research area
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Domain Adaptation Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION
Domain Adaptation Computing methodologies - Machine learning

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Career management


Area riservata studenti