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.
Type D and Type F activities
Students can choose the type D training activities among a catalogue of courses, while type F activities provide additional knowledge useful for entering the job market (internships, transferable skills, project works, etc.). According to the Degree Programme description and regulation, some activities can be chosen and added autonomously by the students to the academic record, whereas others must be approved by a committee to verify their coherence with the study plan. Type D or F training activities can be covered by the following activities:
1. Courses offered at the University of Verona:
This includes the course listed below and/or in the Course Catalogue (which can be filtered by language using advanced search)
Procedure for adding courses to the academic record: Ig the course is among those listed below or in the Catalogue, the student can add it independently when the study plan is open for modifications; otherwise, the student must request approval from the Student Office by sending the form to carriere.scienze@ateneo.univr.it during the specified periods.
Starting from students enrolled in the Academic Year 2022/2023, courses offered in the 2nd and 3rd years of the study plan can be autonomously added to the academic record.
There is no need to submit the request to add the following courses to the academic record to the “Commissione Pratiche Studenti”: Database and Web (BSc in Bioinformatics); General Biology (BSc in Bionformatics); Molecular Biology (BSc in Bioinformatics); Probaility and Statistics (BSc in Computer Science); Programming and Network Security (BSc in Computer Science).
2. CLA Language Certification or Equivalence
Beside to to those already required by the study plan, the following language certifications can be added as additional training activities for students enrolled in the academic years 2021/2022 and 2022/2023:
English language: 3 CFU will be granted for each level of proficiency above the level required by the study program (if not already granted in the previous degree programme).
Other languages and Italian for foreigners: 3 CFU will be granted for each level of proficiency starting from A2 (if not already granted in the previous degree programme).
These CFU will be granted as type D activities and up to a 3 CFU in total. In case the language certification is dated prior to 27/10/2023 (date of the vote of the Teaching Board of Information Engineering) the maximum CFU to be granted can be extended to 6, as for previous regulation. Additional credits for language knowledge can only be granted if consistent with the student's educational project and adequately justified.
For students enrolled in the academic year 2023/2024, credits for language certifications beyond those specified in the teaching plan will be recorded as extra type D CFU.
Procedure for adding the relevant academic record: Request the certificate or equivalence certificate to the CLA and send it to the Student Administration Office via email (carriere.scienze@ateneo.univr.it) for the exam to be recorded.
3. Transferable Skills
Discover the training paths promoted by TALC – Teaching and Learning Center of the University, intended for students regularly enrolled in the Academic Year offering the modules https://talc.univr.it/en/competenze-trasversali
Procedure for adding the relevant academic record: the modules will not be added to the study plan, but CFU will be granted after obtaining the Open Badge. The procedure may require a certain amount of time to reach a conclusion.
4. Contamination Lab
The Contamination Lab Verona (CLab Verona) is an experiential program with modules dedicated to innovation and corporate culture that offers the opportunity to work in teams with students from all degree programs to solve challenges posed by companies and organizations. The program allows receiving 6 type D or F CFU. Discover the challenges: https://www.univr.it/en/clabverona.
NOTE: To be admitted to any educational activity, including electives, students must be enrolled in the specific Academic Year of the course being offered. Therefore, it is recommended that those who foresee to graduate December and April sessions do NOT undertake extracurricular activities for the new Academic Year in which they are not enrolled, as these graduation sessions are valid for the previous Academic Year. Therefore, modules carried out in an Academic Year when the students is not enrolled with the University of Verona, the relevant CFU will not be recorded.
5. Internship/Stage and other activities
The student must complete a 7 CFU internship and attend a 2 CFU module on “Medical Systems Seminars”.
Annually, the Internship Committee (tirocini-ismp@ateneo.univr.it) proposes a list of internship projects from which students can choose in line with their study plan and interests. The list can be complemented, after the approval of the Internship Committee, with proposals made by students who independently look for internship opportunities within the departments of the universities involved in the Degree programme, or within external organizations/companies. The management of the internship process is detailed in the Vademecum delle Attività di Tirocinio. Here is the relevant information page (with a link to Moodle) and here the general information on how to activate an internship.
Please note that for internships starting from October 1, 2024 with external partners/company, extra hours can lead to extra type D CFU.
years | Modules | TAF | Teacher |
---|---|---|---|
2° 3° | Fundamentals of Movement Analysis | D |
Roberto Di Marco
(Coordinator)
|
2° 3° | Introduction to quantum mechanics for quantum computing | D |
Claudia Daffara
(Coordinator)
|
2° 3° | Python programming language [English edition] | D |
Carlo Combi
(Coordinator)
|
2° 3° | BEYOND ARDUINO: FROM PROTOTYPE TO PRODUCT WITH STM MICROCONTROLLER | D |
Franco Fummi
(Coordinator)
|
2° 3° | APP REACT PLANNING | D |
Graziano Pravadelli
(Coordinator)
|
2° 3° | HW components design on FPGA | D |
Franco Fummi
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
2° 3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
2° 3° | Python programming language [Edizione in italiano] | D |
Carlo Combi
(Coordinator)
|
2° 3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinator)
|
2° 3° | Tools for development of applications of virtual reality and mixed | D |
Andrea Giachetti
(Coordinator)
|
2° 3° | Development and life cycle of software of artificial intelligence software | D |
Marco Cristani
(Coordinator)
|
2° 3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Mila Dalla Preda
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° | Subject requirements: physics | D |
Elisa Artegiani
(Coordinator)
|
1° | Subject requirements: mathematics | D |
Franco Zivcovich
(Coordinator)
|
Introduction to system and signal analysis with laboratory (2024/2025)
Teaching code
4S009872
Academic staff
Coordinator
Credits
9
Language
Italian
Scientific Disciplinary Sector (SSD)
ING-INF/06 - ELECTRONIC AND INFORMATICS BIOENGINEERING
Period
Semester 2 dal Mar 3, 2025 al Jun 13, 2025.
Courses Single
Authorized
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
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Program - THEORY
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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.
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Program - LABORATORY
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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
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.
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