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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
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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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
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.
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1° Year
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2° Year
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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.
Electronic devices and sensors (2022/2023)
Teaching code
4S009021
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
ING-INF/01 - ELECTRONIC ENGINEERING
The teaching is organized as follows:
Teoria
Laboratorio
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
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.
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.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Graduation
List of theses and work experience proposals
theses proposals | Research area |
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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.