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 19, 2017 Jul 19, 2017
Sessione autunnale Appelli di laurea Oct 18, 2017 Oct 18, 2017
Sessione invernale Appelli di laurea Mar 21, 2018 Mar 21, 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 Enrollment FAQs

Academic staff

A B C D F G L M P S

Accordini Simone

symbol email simone.accordini@univr.it symbol phone-number +39 045 8027657

Belussi Alberto

symbol email alberto.belussi@univr.it symbol phone-number +39 045 802 7980

Bicego Manuele

symbol email manuele.bicego@univr.it symbol phone-number +39 045 802 7072

Bombieri Cristina

symbol email cristina.bombieri@univr.it symbol phone-number 045-8027284

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094

Cicalese Ferdinando

symbol email ferdinando.cicalese@univr.it symbol phone-number +39 045 802 7969

Combi Carlo

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

Constantin Gabriela

symbol email gabriela.constantin@univr.it symbol phone-number 045-8027102

Cristani Marco

symbol email marco.cristani@univr.it symbol phone-number +39 045 802 7841

Daducci Alessandro

symbol email alessandro.daducci@univr.it symbol phone-number +39 045 8027025

Delledonne Massimo

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

Franco Giuditta

symbol email giuditta.franco@univr.it symbol phone-number +39 045 802 7045

Giugno Rosalba

symbol email rosalba.giugno@univr.it symbol phone-number 0458027066

Laudanna Carlo

symbol email carlo.laudanna@univr.it symbol phone-number 045-8027689

Liptak Zsuzsanna

symbol email zsuzsanna.liptak@univr.it symbol phone-number +39 045 802 7032

Malerba Giovanni

symbol email giovanni.malerba@univr.it symbol phone-number 045/8027685

Manca Vincenzo

symbol email vincenzo.manca@univr.it symbol phone-number 045 802 7981

Marcon Alessandro

symbol email alessandro.marcon@univr.it symbol phone-number +39 045 802 7668

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024

Perduca Massimiliano

symbol email massimiliano.perduca@univr.it symbol phone-number +39 045 8027984

Sala Pietro

symbol email pietro.sala@univr.it symbol phone-number 0458027850

Salvagno Gian Luca

symbol email gianluca.salvagno@univr.it symbol phone-number 045 8124308-0456449264

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.

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

4S004560

Credits

6

Coordinator

Cristina Bombieri

Language

English en

The teaching is organized as follows:

HUMAN GENETICS en

Credits

3

Period

II sem.

Academic staff

Cristina Bombieri

Learning outcomes

The course aims to provide the basic concepts of human medical and molecular genetics and of advanced technologies and methods used to study and analyse genetic diseases.
At the end of the course, the students will have knowledge and tools necessary for the understanding of principles and mechanisms responsible for the transmission of normal and abnormal characters in humans and the mode of occurrence of hereditary biological variation, as well as of the different techniques and methods for genetic disease analyses.

Program

The teaching consists of two modules: Human Genetics and Fundamental of Medical Genetics. The Human Genetics module is propaedeutic to the Fundamental of Medical Genetics one.

------------------------
MM: HUMAN GENETICS
------------------------
- Cytogenetics and medical cytogenetics.
- Parent-of-origin effects, imprinting and genomic imprinting disorders.
- Fundamentals of classical genetics. Pedigree construction and analysis.
- Molecular genetics in medicine. Mutations; Molecular pathology; Genotype-phenotype correlation.
- Diseases due to expansion of unstable repeat sequences (dynamic mutations).
- Genetic variation in individuals and populations.
- Bases of human genetics. Human genome organization, DNA polymorphisms and genetic markers. Linkage Disequilibrium.
- Application of genetic polymorphism analysis (genetic profiling): paternity testing; bone marrow transplantation, diagnosis by linkage analysis.

------------------------
MM: FUNDAMENTALS OF MEDICAL GENETICS
------------------------
- Mendelian disease gene and mutation identification.
- Medical genetics. Examples of single-gene diseases: Thalassemias; Cystic Fibrosis.
- Modifier genes and complexity in single-gene disorders.
- The inheritance of multifactorial traits. Genetics of common disorders with complex inheritance.
- Pharmacogenetics and precision medicine. Individual variation of drug response.
- Cancer genetics.
- Genetic risks and risk estimation.
- Genome scan analysis.
- Genome sequencing and Genomic, Exomic, and Transcriptomic analysis. Bioinformatics and Genomics.


The teaching will be delivered through frontal sessions covering the whole exam program: 12 lessons of Human Genetics followed by 12 lessons of Fundamental of Medical Genetics. The course will be held in english.
To successfully address the course, rudimentary knowledge of biology and formal genetics fundamentals may be helpful. To this purpose the first lessons of human genetics module will be dedicated to briefly recap this basic concepts.
Oral explanations will be coadiuvated by PowerPoint presentations. Summaries of these presentations, other additional didactic materials and possible updatings and communications, from both modules, will be made available to students, in pdf format for download, through a dedicated homepage on the University e-learning platform, troughout the course. Additional didactic supports, can be provided to the students missing some or all the basic knowledge.
During the whole Academic Year, students may request personal reception to the teachers, by e mail.



Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
Strachan, Goodship, Chinnery Genetics and Genomics in Medicine (Edizione 1) Garland Science - Taylor and Francis Group 2014
Bradley Schaefer G., Thompson J.N. jr. Medical Genetics – An integrated approach (Edizione 1) McGraw-Hill 2014
Nussbaum, McInnes, Willard Thompson & Thompson Genetics in Medicine (Edizione 8) Elsevier 2016

Examination Methods

The exam consists in a single oral discussion on the topics listed in the syllabus of both the modules, and can be taken in one of the four available sessions, scheduled as follow: 2 in the Summer Session at the end of the teaching, 1 in Autumn Session, 1 in Extraordinary Session in Winter.
The student will have to demonstrate to possess an advanced comprehension of the teaching contents allowing the critic analysis and reprocessing of the studied notions and to know how to apply the acquired knowledge to interpret pedigree and genetic data and to determine the recurrence genetic risk, solving proposed eercises, exposing their arguments accurately, with clarity and using the appropriate scientific language.
At the end of the interview, a global evaluation will be made considering the student's overall preparation. The final mark will be a score out of 30,
Content of the exams will be the same for attending and non-attending students. All students will be tested for the same skills.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

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: 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

Deadlines and administrative fulfilments

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

Need to activate a thesis internship

For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.

Final examination regulations

Upon completion of the Master’s degree dissertation, students are awarded 24 CFU, which equates to no more than 4-5 months of full-time work. The dissertation may be written and presented in English or Italian, also using multimedia tools such as presentations and videos.

Goals
The primary goal of a dissertation is to develop an original study that may include an application project or a theoretical topic related to specific design issues, or a critical review of the most recent developments in a given field of study. During the preparation of the dissertation, under the guidance of the Supervisor and co-supervisors (if any), the student is expected to conduct an in-depth study of the chosen topic, while gaining the ability to summarise and creatively apply the knowledge acquired. The dissertation should focus on topics of bioinformatics and medical informatics, or closely related areas of study. The work shall consist in the written presentation of activities that may be structured as follows:

  • design and development of applications or systems;
  • critical analysis of contributions from the scientific literature;
  • original research contributions.

The dissertation may be written either in English or in Italian, and can be presented either in English or in Italian, also relying on multimedia tools such as presentations and videos. Should the dissertation be written in Italian, the work will need to include an abstract in English.

Assessment methods and examination procedures
The final examination consists in writing a Master’s degree dissertation, which will engage the student in a work of research, formalisation, design or development, thus contributing to complete their technical and scientific training. Each dissertation can be either internal or external, depending on whether it is carried out at the University of Verona or in collaboration with another institution. For each dissertation a Supervisor, one or more co-supervisors (optional) and an Examiner will be appointed. The Examiner is appointed by the Computer Science Teaching Committee at least 20 days before the presentation of the dissertation, once the student's eligibility to take the Master's degree examination has been verified. With regard to the legal aspects related to the dissertation and its scientific outcomes (e.g. intellectual property of research outcomes), please refer to the relevant legislation and the University Regulations.

Evaluation of the dissertation
The Supervisor, the co-supervisor/s (if any) and the Examiner will evaluate the dissertation based on the following criteria:

  1. level of in-depth analysis carried out, in relation to the most recent developments in the areas related to information technology, with a focus on medical and biological applications;
  2. scientific and/or technological outcomes of the dissertation;
  3. student’s critical thinking;
  4. student’s experimental and/or formal development;
  5. student’s ability to carry out independent work (this point will not be assessed by the Examiner);
  6. value of the methodologies used;
  7. accuracy in planning and writing the dissertation.

Graduation mark
The graduation mark (based on a 110-point scale) is a whole value between 66/110 and 110/110 and is calculated by adding together the following elements (then rounding the result to the nearest whole number, e.g. 93.50 => 94; 86.49 => 86):

  • 1) the average of the marks gained in the modules, weighted according to CFU, converted to a 110-point scale;
  • 2) evaluation of the dissertation and the oral presentation during the final examination, based on the following methods:
    • a) each of the points 1-7 listed above will be assigned a coefficient between 0 and 1 (fractional coefficient with one decimal place);
    • b) the quality of the presentation will be assessed by awarding a coefficient between 0 and 1 (fractional coefficient with one decimal place);
    • c) the sum of the points resulting from (a) and (b).

The Graduation Committee may award one extra point in the following cases: cum laude honours obtained in the exams taken during the degree programme; participation in internships officially recognised by the Computer Science Teaching Committee; taking extra modules; and the achievement of the degree in a time that is shorter than the normal duration of the degree programme. If the final score is 110/110, the Graduation Committee may award cum laude honours by unanimous decision.

External dissertations
An external dissertation is a work carried out in collaboration with an institution/body other than the University of Verona. In this case, the topic of the dissertation must be agreed in advance with a Supervisor from the University of Verona. In addition, the student must indicate at least one co- supervisor belonging to the external institution/body, who will support the student during the work on the dissertation. The Supervisor and the co- supervisors must be indicated in the online graduation application. The insurance aspects relating to the student's stay at the external institution are regulated by the regulations in force at the University of Verona. If the dissertation involves a period of training at the external institution/body, then it is necessary that the University of Verona enters into a specific agreement with such institution/body. The scientific outcomes of the dissertation will be available to all parties involved. In particular, the contents and results of the dissertation are to be considered public. For all matters not strictly scientific (e.g. agreements, insurance) the resolution of the Academic Senate of 12 January 1999 shall be taken as a reference.

Supervisor, co-supervisors, examiners
The dissertation presentation is introduced by the Supervisor. Professors belonging to the Master’s degree programme in Medical Bioinformatics, the Department of Computer Science, and any associated departments may be appointed as Supervisors, as well as any lecturers from the University of Verona whose area of interest is included in the Scientific-disciplinary Sectors (SSD) ING/INF/05 and INF/01. In addition to those who have the above requirements to be appointed as Supervisor, the following individuals may be appointed as co-supervisors: researchers working in external research institutes, research grant holders, post-doctoral fellowship holders, PhD students, technical staff of the Department, external experts appointed by an Italian University, corporate officers who have a remarkable experience in the field relevant to the topic of the dissertation. Examiners may be appointed among professors of the University of Verona, working in the Scientific- disciplinary Sectors (SSD) included in the educational offer of the Master’s degree programme in Medical Bioinformatics, and experts in the specific field of the dissertation topic.

Procedures and deadlines
The student who is about to complete their studies must identify a dissertation topic, proposed or approved by a Supervisor or co-supervisor/s (if any). When the work is nearing completion, the student must submit to the Teaching and Student Services Unit the graduation application, which must contain the title of the dissertation (even provisional), the name of the Supervisor, co-supervisor/s (only for external dissertations) and Examiner. Subsequently, on dates established by the Teaching and Student Services Unit, and in any case no later than 20 days before the graduation, the student must submit the graduation application form with the final title of the dissertation, which must be signed by the Supervisor. These documents must be delivered in accordance with the terms established by the Teaching and Student Services Unit.

The student will need to:

  • i) upload a copy of their dissertation on ESSE3;
  • ii) send a copy of their dissertation in PDF format to their Examiner.

In order to be admitted to the final examination, the student must have acquired the CFU in the SSD (Scientific-Disciplinary Sectors) set out in the Master’s degree regulations and teaching plan, and be up to date with the payment of their tuition fees. The Teaching and Student Services Unit of the Master's degree programme will invite all the Supervisors and co-supervisors involved, providing them with information about the date and time of the final examination.

Graduation Committee
The Graduation Committee shall include five members, of which at least four are professors in the Master's degree programme in Medical Bioinformatics. Based on the number of graduates, the Computer Science Teaching Committee will identify the most appropriate organisational methods for administering the examination, and it shall make available the calendar of tests at least one week before the examination itself. The procedures and deadlines for the submission of the graduation application are established by the Computer Science Teaching Committee and by the relevant offices.


Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.


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