Studying at the University of Verona

A.A. 2015/2016

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
Lezioni 1° semestre Oct 1, 2015 Dec 11, 2015
Lezioni 1°-2° semestre Oct 1, 2015 Jun 3, 2016
Lezioni 2° semestre Feb 22, 2016 Jun 3, 2016
Exam sessions
Session From To
SESSIONE STRAORDINARIA RECUPERO DEBITO DIDATTICO Nov 2, 2015 Nov 30, 2015
SESSIONE INVERNALE A.A 15/16 Dec 14, 2015 Dec 18, 2015
PROSEGUIMENTO SESSIONE INVERNALE A.A 15/16 Jan 7, 2016 Feb 19, 2016
SESSIONE ESTIVA A.A.15/16 Jun 6, 2016 Jul 29, 2016
SESSIONE ESTIVA LAUREANDI A.A. 15/16 Jun 6, 2016 Jul 15, 2016
SESSIONE AUTUNNALE A.A.15/16 Sep 1, 2016 Sep 28, 2016
Degree sessions
Session From To
SESSIONE INVERNALE A.A.14/15 Mar 7, 2016 Mar 18, 2016
SESSIONE ESTIVA A.A.15/16 Jul 20, 2016 Jul 29, 2016
SESSIONE AUTUNNALE A.A.15/16 Oct 13, 2016 Oct 28, 2016
Holidays
Period From To
FESTA DI OGNISSANTI Nov 1, 2015 Nov 1, 2015
FESTA DELL'IMMACOLATA CONCEZIONE Dec 8, 2015 Dec 8, 2015
VACANZE DI NATALE Dec 23, 2015 Jan 6, 2016
VACANZE DI PASQUA Mar 24, 2016 Mar 29, 2016
FESTA DELLA LIBERAZIONE Apr 25, 2016 Apr 25, 2016
FESTA DEI LAVORATORI May 1, 2016 May 1, 2016
FESTA DEL SANTO PATRONO SAN ZENO May 21, 2016 May 21, 2016
FESTA DELLA REPUBBLICA Jun 2, 2016 Jun 2, 2016
Other Periods
Description Period From To
TIROCINIO TIROCINIO Oct 1, 2015 Sep 30, 2016

Exam calendar

Exam dates and rounds are managed by the relevant Medicine 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 F G I L M N P R S T V Z

Albanese Massimo

massimo.albanese@univr.it +39 045 812 4251/4024

Bellavite Paolo

paolo.bellavite@univr.it 0458027554

Bertini Giuseppe

giuseppe.bertini@univr.it 045-802-7682

Bertossi Dario

dario.bertossi@univr.it +39 045 812 4096

Busetto Giuseppe

giuseppe.busetto@univr.it +39 0458027290

Chiamulera Cristiano

cristiano.chiamulera@univr.it +39 045 8027277

D'Agostino Antonio

antonio.dagostino@univr.it +39 045 812 4023

De Franceschi Lucia

lucia.defranceschi@univr.it 0458124918

De Leo Domenico

domenico.deleo@univr.it +39 045 812 4942

De Santis Daniele

daniele.desantis@univr.it +39 045 812 4251 - 4097

Fabene Paolo

paolo.fabene@univr.it 0458027267

Fabrizi Gian Maria

gianmaria.fabrizi@univr.it +39 0458124461

Faccioni Fiorenzo

fiorenzo.faccioni@ospedaleuniverona.it +39 045 812 4251 - 4868

Gerosa Roberto

roberto.gerosa@univr.it 0458124863

Girelli Massimo

massimo.girelli@univr.it +39 0458027106

Girolomoni Giampiero

giampiero.girolomoni@univr.it +39 045 812 2547

Gisondi Paolo

paolo.gisondi@univr.it +39 045 812 2547

Iacono Calogero

calogero.iacono@univr.it +39 045 812 4412

Lleo'Fernandez Maria Del Mar

maria.lleo@univr.it 045 8027194

Lombardo Giorgio

giorgio.lombardo@univr.it +39 045 812 4867

Maffeis Claudio

claudio.maffeis@univr.it +39 045 812 7664

Majori Silvia

silvia.majori@univr.it +39 045 8027653

Malchiodi Luciano

luciano.malchiodi@univr.it +39 045 812 4855

Manfredi Riccardo

riccardo.manfredi@univr.it +39 045 802 74 89

Marchini Giorgio

giorgio.marchini@univr.it +39 045 812 6140

Marchioni Daniele

daniele.marchioni@univr.it +39 045 812 7669

Martignoni Guido

guido.martignoni@univr.it

Menegazzi Marta

marta.menegazzi@univr.it +39 045 802 7168

Mottes Monica

monica.mottes@univr.it +39 045 8027 184

Nicoli Aldini Nicolo

nicolo.nicolialdini@gmail.com 338 7363781

Nocini Pier Francesco

pierfrancesco.nocini@univr.it + 39 045 812 4251

Polati Enrico

enrico.polati@univr.it +39 045 812 7430 - 4311

Romanelli Maria

mariagrazia.romanelli@univr.it +39 045 802 7182

Ruggeri Mirella

mirella.ruggeri@univr.it 0458124953

Salvagno Gian Luca

gianluca.salvagno@univr.it 045 8124308-0456449264

Sartoris Silvia

silvia.sartoris@univr.it 045 8126451

Schweiger Vittorio

vittorio.schweiger@univr.it +39 045 812 4311

Tinazzi Michele

michele.tinazzi@univr.it +39 045 8122601

Trevisiol Lorenzo

lorenzo.trevisiol@univr.it +39 045 812 4023

Verlato Giuseppe

giuseppe.verlato@univr.it 045 8027628

Zanolin Maria Elisabetta

elisabetta.zanolin@univr.it +39 045 802 7654

Zerman Nicoletta

nicoletta.zerman@univr.it + 39 045 812 4251 - 4857

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
10
A
(BIO/16)
8
A
(BIO/13)
7
A
(BIO/10)
6
A
(FIS/07)
7
B
(L-LIN/12)
7
A
(BIO/17)
13
A/B/C
(INF/01 ,MED/01 ,MED/02 ,M-PED/03 ,M-PSI/01)
ModulesCreditsTAFSSD
7
A
(BIO/10)
9
A
(BIO/09)
13
B
(MED/04 ,MED/07 ,MED/42)
20
B/C/F
(- ,INF/01 ,MED/28 ,MED/43 ,MED/50)
ModulesCreditsTAFSSD
5
B/F
(- ,MED/28)
3
B/F
(- ,MED/28)
4
B
(MED/43)
4
B/F
(- ,MED/25 ,MED/26)
13
B/F
(- ,MED/18 ,MED/35 ,MED/41)
ModulesCreditsTAFSSD
12
B/F
(- ,MED/28)
7
B/F
(- ,MED/28 ,MED/38)
12
B/F
(- ,MED/28)
8
B/F
(- ,MED/28)
6
B/F
(- ,MED/28)
10
B/C/F
(- ,MED/28 ,MED/29 ,MED/31)
5
B/F
(- ,MED/28)

1° Year

ModulesCreditsTAFSSD
10
A
(BIO/16)
8
A
(BIO/13)
7
A
(BIO/10)
6
A
(FIS/07)
7
B
(L-LIN/12)
7
A
(BIO/17)
13
A/B/C
(INF/01 ,MED/01 ,MED/02 ,M-PED/03 ,M-PSI/01)

2° Year

ModulesCreditsTAFSSD
7
A
(BIO/10)
9
A
(BIO/09)
13
B
(MED/04 ,MED/07 ,MED/42)
20
B/C/F
(- ,INF/01 ,MED/28 ,MED/43 ,MED/50)

4° Year

ModulesCreditsTAFSSD
5
B/F
(- ,MED/28)
3
B/F
(- ,MED/28)
4
B
(MED/43)
4
B/F
(- ,MED/25 ,MED/26)
13
B/F
(- ,MED/18 ,MED/35 ,MED/41)

5° Year

ModulesCreditsTAFSSD
12
B/F
(- ,MED/28)
7
B/F
(- ,MED/28 ,MED/38)
12
B/F
(- ,MED/28)
8
B/F
(- ,MED/28)
6
B/F
(- ,MED/28)
10
B/C/F
(- ,MED/28 ,MED/29 ,MED/31)
5
B/F
(- ,MED/28)

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

4S02633

Credits

13

The teaching is organized as follows:

Didattica e pedagogia speciale

Credits

1

Period

Lezioni 1° semestre

Academic staff

Giancarlo Gola

Statistica medica

Credits

4

Period

Lezioni 1° semestre

Psicologia generale

Credits

2

Period

Lezioni 1° semestre

Academic staff

Massimo Girelli

Informatica

Credits

4

Period

Lezioni 1° semestre

Academic staff

Alberto Fenzi

Storia della medicina

Credits

2

Period

Lezioni 1° semestre

Academic staff

Nicolo Nicoli Aldini

Learning outcomes

------------------------
MM: DIDATTICA E PEDAGOGIA SPECIALE
------------------------
The course explores the meanings of pedagogical issues and educational, related to persons with special needs, to identify the most appropriate modalities of professional approach in action. It also intends to focus on the practitioner's ability to deal with new conceptual models and processes to achieve cultural integration and inclusion. After completing the course, the student will be able to: - know the educaton elements of Special Needs; - Explore dimensions and innovative visions to foster integration and inclusion, in the different professional context and particularly about health of special neds; - Explore strategies and methods of education about with Special Needs patients in Special Care Dentistry
------------------------
MM: STATISTICA MEDICA
------------------------
The course aims to introduce the basic theoretical tools of Quantitative Medicine. The course points to prepare students to: - describe, interpret and communicate appropriately the information gathered on a collective of patients (or other experimental units); - assess the reliability of the measurements in the biomedical field, in terms of sensitivity, specificity, accuracy and precision; - generalize the observations collected on a limited number of subjects to the population of origin using elementary inferential techniques - read critically the articles of the biomedical area Program in summary form: - Introduction: The purpose of the statistics in medicine. - Descriptive statistics: the frequency distributions, the measures of position and dispersion - Probability: definition, sum and product of probability. Theoretical distributions of probability - Statistical inference: confidence intervals and hypothesis testing
------------------------
MM: PSICOLOGIA GENERALE
------------------------

------------------------
MM: INFORMATICA
------------------------
The course includes extensive use of the computer lab provides the foundation of Information Technology, as well as practical skills for using software used in the office and in the computerized management of the surgery.
------------------------
MM: STORIA DELLA MEDICINA
------------------------
To obtain a critical knowledge of the historical evolution of medical and biological sciences from the antiquity until the current time, with special attention to the principles of the scientific method. The course encompass also a section about the history of dentistry and related disciplines.

Program

------------------------
MM: DIDATTICA E PEDAGOGIA SPECIALE
------------------------
Presentation of teaching course Reasoned of the textbooks's and reference of course teaching and directions for the study of texts. Introduction to Education and Special Education Introduction to the concepts of integration and Inclusive Education Special needs education and rehabilitation sciences, The educational special Deficit, disability, International Classification of Special Needs; ICF Classification The problems of special education: analysis of deficits in educational perspective Comparison and discussion with the international literature Methodology of Education in Special Needs Dentistry;
------------------------
MM: STATISTICA MEDICA
------------------------
Introduction: The purpose of the statistics in medicine. Descriptive statistics 1) The measurement process and the different types of measurement scales 2) The statistical variables and their representation by means of frequency distributions: tables with one or two variables. 3) Graphical representation of a frequency distribution 4) Measures of position (mean, median, mode, percentiles, weighted average) 5) Measures of dispersion (range, interquartile deviation, deviation, variance, standard deviation, coefficient of variation) Probability 1) Definitions of probability: classical, frequentist, subjectivist 2) The rules of calculation of probability: addition and product rule 3) Independent and conditional probability 4) The sensitivity and specificity of a diagnostic tool 5) ROC curves 6) Bayes theorem and its applications to differential diagnosis 7) Random variables 8) Normal Distribution 9) Population and sample. Introduction to the sampling theory 10) The sampling distribution of an estimator (sample mean) Inferential Statistics 1) Point and interval estimates: confidence interval 2) The logic of hypothesis testing: the null and the alternative hypothesis; first and second type error; the power of a test 3) Comparison of a sample mean with a population mean: z-test and t-test 4) Comparison of two sample means: t-test for unpaired data and for paired data 5) Chi-square test 6) Correlation and regression
------------------------
MM: PSICOLOGIA GENERALE
------------------------

------------------------
MM: INFORMATICA
------------------------
Basic concepts of ICT. Using Word, Excel, Power Point, Photoshop (if any)
------------------------
MM: STORIA DELLA MEDICINA
------------------------
General section: Epochs, events and figures in the history of medicine Special section: History of dentistry

Examination Methods

------------------------ MM: DIDATTICA E PEDAGOGIA SPECIALE ------------------------ The assessment of the course will be on written test type (review of a textbook)and on oral examination. The criteria are as follows: - written test - Review or synthesis of one textbook among the recommended (up to 6 p.out of 30); - oral examination - presentation of the course's topics (up to 24 p. out of 30); Recommended textbooks reading and study: Gola G. (2012), Con la sguardo di chi insegna. La visione dell’insegnante sulle pratiche didattiche, F. Angeli, Milano. Lascioli A. (2011), Educazione Speciale. Dalla teoria all’azione, F. Angeli, Milano. Lai I. (2013), Pedagogia e Odontoiatria Speciale, Il mio Libro. Lai I. (2015), Curare con cura, University Press. Mortari L., Saiani L. (2013) Gesti e pensieri di cura, Mc-Graw Hill, Milano. ------------------------ MM: STATISTICA MEDICA ------------------------ The exam is written and consists of multiple choice tests and exercises. The answers provided in the examination will be discussed with the student. Reference book : - Triola MM, Triola MF. Statistica per le discipline biosanitarie (2009). Pearson Paravia Bruno Mondadori S.p.A, Milano, - Glantz SA (2007) Statistica per discipline bio-mediche (Sesta Edizione). Edizioni McGraw-Hill - Norman G, Streiner D. (2015) Biostatistica: quello che avreste voluto sapere… (seconda Edizione). Casa Editrice Ambrosiana, Milano. - Swinscow TDV, Campbell MJ (2004). Le basi della Statistica per scienze bio-mediche. Edizioni Minerva Medica S.p.A., Torino. - Villani S, Borrelli P.(2013) Excel & Statistica Medica. Ed. Medea s.r.l. Pavia. - Verlato G, Zanolin ME (2000) Esercizi di Statistica Medica, Informatica ed Epidemiologia. Editrice Libreria Cortina Verona. ------------------------ MM: PSICOLOGIA GENERALE ------------------------ ------------------------ MM: INFORMATICA ------------------------ It is to produce a paper in a computer room including the use of Word, Excel, Power Point, Internet or answer some questions. Alternatively, students must pass exams related modules ECDL_Core. ------------------------ MM: STORIA DELLA MEDICINA ------------------------ Multiple choice test / Oral examination

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Daniel WW, Cross CL Biostatistica (Edizione 3) Edises 2019
Norman G, Streiner D Biostatistica: quello che avreste voluto sapere... (Edizione 2) Ambrosiana 2015

Free choice courses

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


Gestione carriere


Further services

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