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
Semester 1 Oct 2, 2023 Jan 26, 2024
Semester 2 Mar 4, 2024 Jun 14, 2024
Exam sessions
Session From To
Winter exam session Jan 29, 2024 Mar 1, 2024
Summer exam session Jun 17, 2024 Jul 31, 2024
Autumn exam session Sep 2, 2024 Sep 30, 2024
Degree sessions
Session From To
Summer graduation session Jul 15, 2024 Jul 15, 2024
Autumn graduation session Oct 14, 2024 Oct 14, 2024
December graduation session Dec 9, 2024 Dec 9, 2024
Winter graduation session Mar 17, 2025 Mar 17, 2025
Holidays
Period From To
Festa di Ognissanti Nov 1, 2023 Nov 1, 2023
Festa dell'Immacolata Dec 8, 2023 Dec 8, 2023
Vacanze di Natale Dec 24, 2023 Jan 7, 2024
Festività pasquali Mar 29, 2024 Apr 1, 2024
Ponte della Festa della Liberazione Apr 25, 2024 Apr 26, 2024
Festa del Lavoro May 1, 2024 May 1, 2024
Festività del Santo Patrono: San Zeno May 21, 2024 May 21, 2024
Festa della Repubblica Jun 2, 2024 Jun 2, 2024
Vacanze estive Aug 12, 2024 Aug 17, 2024

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 Enrollment FAQs

Academic staff

A B C D F G L M N P R S T U V Z

Artegiani Elisa

symbol email elisa.artegiani@univr.it

Assfalg Michael

symbol email michael.assfalg@univr.it symbol phone-number +39 045 802 7949

Astegno Alessandra

symbol email alessandra.astegno@univr.it symbol phone-number 045802 7955

Avesani Linda

symbol email linda.avesani@univr.it symbol phone-number +39 045 802 7839

Ballottari Matteo

symbol email matteo.ballottari@univr.it symbol phone-number 045 802 7823

Bassi Roberto

symbol email roberto.bassi@univr.it symbol phone-number 045 8027916

Battista Federico

symbol email federico.battista@univr.it symbol phone-number +390458027917

Bellin Diana

symbol email diana.bellin@univr.it symbol phone-number 045 802 7090

Cazzaniga Stefano

symbol email stefano.cazzaniga@univr.it symbol phone-number +39 045 8027075

Cecconi Daniela

symbol email daniela.cecconi@univr.it symbol phone-number +39 045 802 7056; Lab: +39 045 802 7087

Chignola Roberto

symbol email roberto.chignola@univr.it symbol phone-number 045 802 7953

Chiurco Carlo

symbol email carlo.chiurco@univr.it symbol phone-number +390458028159

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985

Commisso Mauro

symbol email mauro.commisso@univr.it symbol phone-number 0458027030

Crimi Massimo

symbol email massimo.crimi@univr.it symbol phone-number 045 802 7924; Lab: 045 802 7050

Dainese Matteo

symbol email matteo.dainese@univr.it symbol phone-number +39 045 802 7858

Dal Corso Giovanni

symbol email giovanni.dalcorso@univr.it symbol phone-number (0039) 045 802 7867

Dall'Osto Luca

symbol email luca.dallosto@univr.it symbol phone-number +39 045 802 7806

Della Libera Chiara

symbol email chiara.dellalibera@univr.it symbol phone-number +39 0458027219

Delledonne Massimo

symbol email massimo.delledonne@univr.it symbol phone-number 045 802 7962; Lab: 045 802 7058

Dominici Paola

symbol email paola.dominici@univr.it symbol phone-number 045 802 7966; Lab: 045 802 7956-7086

D'Onofrio Mariapina

symbol email mariapina.donofrio@univr.it symbol phone-number 045 802 7801

Favretto Filippo

symbol email filippo.favretto@univr.it symbol phone-number 045 802 7865

Fiammengo Roberto

symbol email roberto.fiammengo@univr.it symbol phone-number 0458027038

Frison Nicola

symbol email nicola.frison@univr.it symbol phone-number 045 802 7857

Furini Antonella

symbol email antonella.furini@univr.it symbol phone-number 045 802 7950; Lab: 045 802 7043

Giorgetti Alejandro

symbol email alejandro.giorgetti@univr.it symbol phone-number 045 802 7982

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937

Guardavaccaro Daniele

symbol email daniele.guardavaccaro@univr.it symbol phone-number +39 045 802 7903

Guzzo Flavia

symbol email flavia.guzzo@univr.it symbol phone-number 045 802 7923

Lampis Silvia

symbol email silvia.lampis@univr.it symbol phone-number 045 802 7095

Milan Emil

symbol email emil.milan@univr.it

Molesini Barbara

symbol email barbara.molesini@univr.it symbol phone-number 045 802 7550

Munari Francesca

symbol email francesca.munari@univr.it symbol phone-number +39 045 802 7920

Nardon Chiara

symbol email chiara.nardon@univr.it

Pandolfini Tiziana

symbol email tiziana.pandolfini@univr.it symbol phone-number 045 802 7918

Piccinelli Fabio

symbol email fabio.piccinelli@univr.it symbol phone-number +39 045 802 7097

Polverari Annalisa

symbol email annalisa.polverari@univr.it symbol phone-number 045 8425629

Romeo Alessandro

symbol email alessandro.romeo@univr.it symbol phone-number +39 045 802 7936; Lab: +39 045 802 7808

Speghini Adolfo

symbol email adolfo.speghini@univr.it symbol phone-number +39 045 8027900

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it

Torriani Sandra

symbol email sandra.torriani@univr.it symbol phone-number 045 802 7921

Ugel Stefano

symbol email stefano.ugel@univr.it symbol phone-number 045-8126451

Vettori Andrea

symbol email andrea.vettori@univr.it symbol phone-number 045 802 7861/7862

Vitulo Nicola

symbol email nicola.vitulo@univr.it symbol phone-number 0458027982

Zaccone Claudio

symbol email claudio.zaccone@univr.it symbol phone-number +39 045 8027864

Zapparoli Giacomo

symbol email giacomo.zapparoli@univr.it symbol phone-number +390458027047

Zenoni Sara

symbol email sara.zenoni@univr.it symbol phone-number 045 802 7941

Zipeto Donato

symbol email donato.zipeto@univr.it symbol phone-number +39 045 802 7204

Zivcovich Franco

symbol email franco.zivcovich@univr.it

Zoccatelli Gianni

symbol email gianni.zoccatelli@univr.it symbol phone-number +39 045 802 7952

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.

1° Year

ModulesCreditsTAFSSD
12
B
BIO/04
6
A
FIS/07
English B2
6
E
-

2° Year  It will be activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
6
B
BIO/18
1 module between the following
1 module between the following
6
C
FIS/07

3° Year  It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
1 module among the following
1 module among the following
6
B
ING-IND/25
1 module between the following
6
B
BIO/07
Training
9
F
-
Final exam
3
E
-
It will be activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
6
B
BIO/18
1 module between the following
1 module between the following
6
C
FIS/07
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
1 module among the following
1 module among the following
6
B
ING-IND/25
1 module between the following
6
B
BIO/07
Training
9
F
-
Final exam
3
E
-

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S02690

Credits

12

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/05 - MATHEMATICAL ANALYSIS

Period

Semester 1 dal Oct 2, 2023 al Jan 26, 2024.

Courses Single

Authorized with reserve

Learning objectives

Mathematics: This course aims at providing the students with the mathematical tools (set-theoretic and algebraic structures, differential and integral calculus in one or several real variables, ordinary differential equations) whose knowledge is indispensable for the achievement of the degree. A particular attention is paid to the concrete application of the learned notions. At the end of the course students should be able to use appropriately the mathematical language and the notions of the syllabus and furnish valid arguments in support of the solution of the proposed problems. Statistics: The aim of the course is to make the students acquainted with basic statistical ideas and mathematical methods and their applications in the correct planning of experiments, data sampling, analysis, and presentation. The course conjugates concepts of basic statistics and probability theory as well as applied mathematics with real situations as they emerge in a standard biotechnology laboratory. The students acquire appropriate skills to understand how biological systems work and more generally to cope with real-life problems in different applied scientific fields. At the end of the course the students are able to: - analyse experimental observations and prepare professional reports - appropriately plan experiments - autonomously acquire new skills in specific fields of applied statistics and mathematics.

Prerequisites and basic notions

Basic mathematical skills (high school level)

Program

MATHEMATICS
- review of some fundamental notions of arithmetics and their application to a biological problem
- introduction to sets, basic set operations
- introduction to logic
- modeling the Lac operons with Boolean logic
- definition of function, graph of a function, examples
- classes of relevant functions for the life sciences: exponential, logarithmic, polynomial, trigonometric functions
- limits: definition, properties, left and right continuity, asymptotes
- derivative of a function, rules of derivation.
- definite integrals
- indefinite integrals
- integrations by parts
- integration by numerical methods: an elementary introduction and application in the life sciences
- differential equations in chemistry, biology and medicine
- first and second order differential equations
STATISTICS
- brief introduction on the scientific method: the philosophical approach of Popper, Khun, and Lakatos and the concept of validation/falsification of hypotheses
- variables and measurements, frequency distribution of data sampled from discrete and continuous variables, displaying data
- elements of probability theory: definition, a brief history of probability, the different approaches to probability, the rules for adding and multiplying probabilities, Bayes' theorem
- discrete probability distributions: the Binomial and the Poisson distributions and the limiting dilution assay with animal cells
- continuous probability distributions: the concept of probability density, the Normal distribution and the Z statistics
- statistical inference: the problem of deducing the properties of an underlying distribution by data analysis; populations vs. samples. The central limit theorem
- the Student distribution and the t statistics. Confidence intervals for the mean. Comparing sample means of two related or independent samples
- mathematical properties of the variance and error propagation theory
- planning experiments and the power of a statistical test
- the χ2 distribution and confidence intervals of the variance
- goodness-of-fit test and χ2 test for contingency tables
- problems of data dredging and the ANOVA test
- correlation and linear regression

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

Classroom-taught lessons. One written test, approximately at the end of the course, will allow the students to self-evaluate their knowledge. The results of these tests will have no impact on the final exam.

Learning assessment procedures

Written test. Students will have to solve 6 problems (within a maximum time of 3 hours, and they will be allowed to consult the reference textbook and other didactic material (e.g. slides). Personal computers or other electronic devices used to access the internet are not allowed.
The problems will concern mathematics applied to the life sciences and the analysis of data from real biological and biomedical experiments.
The assessment methods could change according to the academic rules.

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

Five points are assigned to the solution of each exercise and all points are then summed up. To pass their test students must reach a minimum score of 18 points. To those test that will reach a score of 30 a "laude" might be further assigned. To this end the clarity of presentation of all solutions will be evaluated.

Criteria for the composition of the final grade

Not applicable

Exam language

Italiano

Type D and Type F activities

Le attività formative di tipologia D sono a scelta dello studente, quelle di tipologia F sono ulteriori conoscenze utili all’inserimento nel mondo del lavoro (tirocini, competenze trasversali, project works, ecc.). In base al Regolamento Didattico del Corso, alcune attività possono essere scelte e inserite autonomamente a libretto, altre devono essere approvate da apposita commissione per verificarne la coerenza con il piano di studio. Le attività formative di tipologia D o F possono essere ricoperte dalle seguenti attività.

1. Insegnamenti impartiti presso l'Università di Verona

Comprendono gli insegnamenti sotto riportati e/o nel Catalogo degli insegnamenti (che può essere filtrato anche per lingua di erogazione tramite la Ricerca avanzata).

Modalità di inserimento a libretto: se l'insegnamento è compreso tra quelli sottoelencati, lo studente può inserirlo autonomamente durante il periodo in cui il piano di studi è aperto; in caso contrario, lo studente deve fare richiesta alla Segreteria, inviando a carriere.scienze@ateneo.univr.it il modulo nel periodo indicato.

2. Attestato o equipollenza linguistica CLA

Oltre a quelle richieste dal piano di studi, per gli immatricolati dall'A.A. 2021/2022 vengono riconosciute:

  • Lingua inglese: vengono riconosciuti 3 CFU per ogni livello di competenza superiore a quello richiesto dal corso di studio (se non già riconosciuto nel ciclo di studi precedente).
  • Altre lingue e italiano per stranieri: vengono riconosciuti 3 CFU per ogni livello di competenza a partire da A2 (se non già riconosciuto nel ciclo di studi precedente).

Tali cfu saranno riconosciuti, fino ad un massimo di 6 cfu complessivi, di tipologia F se il piano didattico lo consente, oppure di tipologia D. Ulteriori crediti a scelta per conoscenze linguistiche potranno essere riconosciuti solo se coerenti con il progetto formativo dello studente e se adeguatamente motivati.

Gli immatricolati fino all'A.A. 2020/2021 devono consultare le informazioni che si trovano qui.

Modalità di inserimento a librettorichiedere l’attestato o l'equipollenza al CLA e inviarlo alla Segreteria Studenti - Carriere per l’inserimento dell’esame in carriera, tramite mail: carriere.scienze@ateneo.univr.it

3. Competenze trasversali

Scopri i percorsi formativi promossi dal TALC - Teaching and learning center dell'Ateneo, destinati agli studenti regolarmente iscritti all'anno accademico di erogazione del corso https://talc.univr.it/it/competenze-trasversali

Modalità di inserimento a libretto: non è previsto l'inserimento dell'insegnamento nel piano di studi. Solo in seguito all'ottenimento dell'Open Badge verranno automaticamente convalidati i CFU a libretto. La registrazione dei CFU in carriera non è istantanea, ma ci saranno da attendere dei tempi tecnici. 

4. CONTAMINATION LAB

Il Contamination Lab Verona (CLab Verona) è un percorso esperienziale con moduli dedicati all'innovazione e alla cultura d'impresa che offre la possibilità di lavorare in team con studenti e studentesse di tutti i corsi di studio per risolvere sfide lanciate da aziende ed enti. Il percorso permette di ricevere 6 CFU in ambito D o F. Scopri le sfide: https://www.univr.it/clabverona

ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.

5. Periodo di stage/tirocinio

Oltre ai CFU previsti dal piano di studi (verificare attentamente quanto indicato sul Regolamento Didattico): qui informazioni su come attivare lo stage. 

Verificare nel regolamento quali attività possono essere di tipologia D e quali di tipologia F.

Insegnamenti e altre attività che si possono inserire autonomamente a libretto

Semester 2 From 3/4/24 To 6/14/24
years Modules TAF Teacher
LaTeX Language D Enrico Gregorio (Coordinator)
Python programming language D Carlo Combi (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Subject requirements: basic mathematics and physics D Franco Zivcovich (Coordinator)

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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.

Graduation

For schedules, administrative requirements and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.

List of theses and work experience proposals

theses proposals Research area
Studio delle proprietà di luminescenza di lantanidi in matrici proteiche Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - Colloid chemistry
Multifunctional organic-inorganic hybrid nanomaterials for applications in Biotechnology and Green Chemistry Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - New materials: oxides, alloys, composite, organic-inorganic hybrid, nanoparticles
Dinamiche della metilazione del DNA e loro contributo durante il processo di maturazione della bacca di vite. Various topics
Risposte trascrittomiche a sollecitazioni ambientali in vite Various topics
Studio delle basi genomico-funzionali del processo di embriogenesi somatica in vite Various topics

Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance is not mandatory. However, professors may require students to attend lectures for a minimum of hours in order to be able to take the module exam, in which case the methods that will be used to check attendance will be explained at the beginning of the module. 
 


Career management


Student login and resources


Erasmus+ and other experiences abroad