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
I sem. Oct 3, 2016 Jan 31, 2017
II sem. Mar 1, 2017 Jun 9, 2017
Exam sessions
Session From To
Sessione invernale Appelli d'esame Feb 1, 2017 Feb 28, 2017
Sessione estiva Appelli d'esame Jun 12, 2017 Jul 31, 2017
Sessione autunnale Appelli d'esame Sep 1, 2017 Sep 29, 2017
Degree sessions
Session From To
Sessione estiva Appelli di Laurea Jul 20, 2017 Jul 20, 2017
Sessione autunnale Appelli di laurea Nov 23, 2017 Nov 23, 2017
Sessione invernale Appelli di laurea Mar 22, 2018 Mar 22, 2018
Holidays
Period From To
Festa di Ognissanti Nov 1, 2016 Nov 1, 2016
Festa dell'Immacolata Concezione Dec 8, 2016 Dec 8, 2016
Vacanze di Natale Dec 23, 2016 Jan 8, 2017
Vacanze di Pasqua Apr 14, 2017 Apr 18, 2017
Anniversario della Liberazione Apr 25, 2017 Apr 25, 2017
Festa del Lavoro May 1, 2017 May 1, 2017
Festa della Repubblica Jun 2, 2017 Jun 2, 2017
Vacanze estive Aug 8, 2017 Aug 20, 2017

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

A B C D G M O P R S Z

Agostiniani Virginia

symbol email virginia.agostiniani@univr.it symbol phone-number +39 045 802 7979

Albi Giacomo

symbol email giacomo.albi@univr.it symbol phone-number +39 045 802 7913

Angeleri Lidia

symbol email lidia.angeleri@univr.it symbol phone-number 045 802 7911

Baldo Sisto

symbol email sisto.baldo@univr.it symbol phone-number 045 802 7935

Bos Leonard Peter

symbol email leonardpeter.bos@univr.it symbol phone-number +39 045 802 7987

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Busato Federico

symbol email federico.busato@univr.it

Caliari Marco

symbol email marco.caliari@univr.it symbol phone-number +39 045 802 7904

Canevari Giacomo

symbol email giacomo.canevari@univr.it symbol phone-number +39 045 8027979

Chignola Roberto

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

Cordoni Francesco Giuseppe

symbol email francescogiuseppe.cordoni@univr.it

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

Daldosso Nicola

symbol email nicola.daldosso@univr.it symbol phone-number +39 045 8027076 - 7828 (laboratorio)

De Sinopoli Francesco

symbol email francesco.desinopoli@univr.it symbol phone-number 045 842 5450

Di Persio Luca

symbol email luca.dipersio@univr.it symbol phone-number +39 045 802 7968

Gregorio Enrico

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

Magazzini Laura

symbol email laura.magazzini@univr.it symbol phone-number 045 8028525

Malachini Luigi

symbol email luigi.malachini@univr.it symbol phone-number 045 8054933

Mantese Francesca

symbol email francesca.mantese@univr.it symbol phone-number +39 045 802 7978

Mariotto Gino

symbol email gino.mariotto@univr.it symbol phone-number +39 045 8027031

Mariutti Gianpaolo

symbol email gianpaolo.mariutti@univr.it symbol phone-number 045 802 8241

Mazzuoccolo Giuseppe

symbol email giuseppe.mazzuoccolo@univr.it symbol phone-number +39 0458027838

Migliorini Sara

symbol email sara.migliorini@univr.it symbol phone-number +39 045 802 7908

Orlandi Giandomenico

symbol email giandomenico.orlandi at univr.it symbol phone-number 045 802 7986

Piccinelli Fabio

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

Rizzi Romeo

symbol email romeo.rizzi@univr.it symbol phone-number +39 045 8027088

Sansonetto Nicola

symbol email nicola.sansonetto@univr.it symbol phone-number 049-8027932

Schuster Peter Michael

symbol email peter.schuster@univr.it symbol phone-number +39 045 802 7029

Solitro Ugo

symbol email ugo.solitro@univr.it symbol phone-number +39 045 802 7977

Zuccher Simone

symbol email simone.zuccher@univr.it

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.

CURRICULUM TIPO:
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
6
B
MAT/06
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
6
C
SECS-P/05

2° Year activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
6
B
MAT/06

3° Year activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
6
C
SECS-P/05
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Between the years: 1°- 2°- 3°
Altre attività formative
6
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.




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

Teaching code

4S004794

Credits

6

Coordinatore

Giacomo Albi

Language

Italian

Scientific Disciplinary Sector (SSD)

BIO/13 - EXPERIMENTAL BIOLOGY

The teaching is organized as follows:

Parte 2

Credits

3

Period

I semestre

Academic staff

Roberto Chignola

Parte 1

Credits

3

Period

I semestre

Academic staff

Giacomo Albi

Learning outcomes

The course is an introduction to the basic and most known mathematical models developed to solve biological and medical problems.
We will discuss deterministic as well as probabilistic models, together with the statistical tools used to quantify the uncertainties characterizing complex biological systems.
At the end of the course the students should be able to :
- understand and discuss the main models of biological systems, with particular attention to the validity of the assumptions, and the definition of different parameters;
- develop and analyze simple models;
- understand the impact of the parameter, also with respect to their measure uncertainty;
- compare the predictions of the models with the experimental data;
- communicate the results in an interdisciplinary environment.

Program

Part I (Albi)

A) Discrete, and continuous model of single population:
* Growth models
* Time delay models
* Biological systems with feedback
B) Discrete, and continuous model of interacting populations
* Linear and non-linear models: Predator-Prey models; SIS, SIR models, tumor growth.
* Single perturbed systems & oscillators: Enzyme Kinetics, Fitzhugh–Nagumo Model for neuronal membrane,
synchronization models.
C) Discrete and continuous probabilistic models:
* Stochastic growth models, and stochastic predator-prey models, oscillators with random noise.
* Reaction-Diffusion processes, Chemotaxis.
* Monte-Carlo methods
D) Parameter identification and data analysis
* Statistical inference, theory of the estimators, maximum likelihood, test of hypothesis.
* Data fitting, Linear and non-linear regression, Kalmann filter, sensitivity analysis.

Part II (Chignola)
- probabilistic models for biomedicine
- the Luria and Delbrück experiment
- growth models for population biology
- allometry and scaling laws
- phenomenological models for tumor growth
- models for cell physiology
- multi-scale models in oncology



Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Parte 1 J. Murray Mathematical Biology Springer 2002 0-387-95223-3
Parte 1 J. D. Logan, W. R. Wolesensky Mathematical Methods in Biology 2009 9780470525876
Parte 1 Brian Ingalls Mathematical Modelling in Systems Biology: An Introduction  
Parte 1 V. Comincioli METODI NUMERICI E STATISTICI PER LE SCIENZE APPLICATE Universitá degli Studi di Pavia 2004

Examination Methods

Part A: written exam with the help of computer, solution of exercises on the basis of the one solved during the course. Students will be required to modify the numerical codes seen in Matlab/Octave. Possibility of midterm examination.

Part B: Oral evaluation. The students will have to prepare and critically discuss a short essay.

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Type D and Type F activities

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

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

Attachments

Title Info File
Doc_Univr_pdf 1. Come scrivere una tesi 31 KB, 29/07/21 
Doc_Univr_pdf 2. How to write a thesis 31 KB, 29/07/21 
Doc_Univr_pdf 5. Regolamento tesi (valido da luglio 2022) 171 KB, 17/02/22 

List of theses and work experience proposals

theses proposals Research area
Formule di rappresentazione per gradienti generalizzati Mathematics - Analysis
Formule di rappresentazione per gradienti generalizzati Mathematics - Mathematics
Proposte Tesi A. Gnoatto Various topics
Mathematics Bachelor and Master thesis titles Various topics
Stage Research area
Internship proposals for students in mathematics Various topics

Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, except for specific practical or lab activities, attendance is not mandatory. Regarding these activities, please see the web page of each module for information on the number of hours that must be attended on-site.
Please refer to the Crisis Unit's latest updates for the mode of teaching.


Career management


Student login and resources