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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
I semestre | Oct 1, 2019 | Jan 31, 2020 |
II semestre | Mar 2, 2020 | Jun 12, 2020 |
Session | From | To |
---|---|---|
Sessione invernale d'esame | Feb 3, 2020 | Feb 28, 2020 |
Sessione estiva d'esame | Jun 15, 2020 | Jul 31, 2020 |
Sessione autunnale d'esame | Sep 1, 2020 | Sep 30, 2020 |
Session | From | To |
---|---|---|
Sessione Estiva | Jul 15, 2020 | Jul 15, 2020 |
Sessione Autunnale | Oct 16, 2020 | Oct 16, 2020 |
Sessione Autunnale Dicembre | Dec 11, 2020 | Dec 11, 2020 |
Sessione Invernale | Mar 17, 2021 | Mar 17, 2021 |
Period | From | To |
---|---|---|
Festa di Ognissanti | Nov 1, 2019 | Nov 1, 2019 |
Festa dell'Immacolata | Dec 8, 2019 | Dec 8, 2019 |
Vacanze di Natale | Dec 23, 2019 | Jan 6, 2020 |
Vacanze di Pasqua | Apr 10, 2020 | Apr 14, 2020 |
Festa della Liberazione | Apr 25, 2020 | Apr 25, 2020 |
Festa del Lavoro | May 1, 2020 | May 1, 2020 |
Festa del Santo Patrono | May 21, 2020 | May 21, 2020 |
Festa della Repubblica | Jun 2, 2020 | Jun 2, 2020 |
Vacanze estive | Aug 10, 2020 | Aug 23, 2020 |
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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
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
Modules | Credits | TAF | SSD |
---|
2° Year activated in the A.Y. 2020/2021
Modules | Credits | TAF | SSD |
---|
3° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
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.
Algorithms (2020/2021)
The teaching is organized as follows:
LABORATORIO DI PROGRAMMAZIONE II
Credits
6
Period
See the unit page
Academic staff
See the unit page
Learning outcomes
The course aims at providing the fundamental methodological tools for the design and analysis of al-gorithms with emphasis on their employment in the solution of simple bioinformatics problems. The students will learn to implement basic algorithmic solution and fundamental data structures for solving problems in bioinformatics by employing object oriented programming. The course is structured on two modules: Algoritmi per Bioinformatica and Laboratorio di Programmazione II, which are detaled below. Module 1: The students will learn foundations of algorithm design and analysis. They will be able to model simple (real world) problems in terms of computational problems; to quantify the computational resources necessary to execute an algorithm, hence to compare different algorithmic solutions in terms of their computational cost. In particular, a student who has profitably attended the course, will be able to evaluate the applicability and effectiveness of basic algorithmic design techniques to simple computational problems. Module 2: The aim of this module is to provide the basic knowledge to implement fundamental algorithms using object oriented programming. The reference programming language is Java. The teaching methodology includes assisted software development and the implementation of specific projects focussed on applications that are relevant to bioinformatics. At the end of the course the student will be able to use the main data structures available in Java and develop new data structures for the implementation of specific software modules.
Program
------------------------
MM: ALGORITMI PER BIOINFORMATICA
------------------------
Basic definitions: Computational Problems and Algorithms Analysis of algorithms: worst case and average case analysis; Algorithmic complexity: asymptotic notations; basic tools for the analysis of algorithms; solution of recurrences; Algorithms for searching sorting and selection. Data Structure for the implementing a dictionary: queues, heaps, binary search trees, hash tables; Design techniques: divide and conquer; greedy; dynamic programming; Graphs and Graph algorithms: graph traversals, basic connectivity problems, topological sorting
------------------------
MM: LABORATORIO DI PROGRAMMAZIONE II
------------------------
Object-oriented programming and the Java language. Implementation of simple programs in Java (primitive types and control structures). Definition of classes and methods. Exception management in Java. Recursion. Interfaces and packages. Implementation of sorting algorithms, search (greedy and exhaustive), and main algorithms on graphs.
Bibliography
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
Docente del corso | Dispense del docente | 2020 | |||
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein | Introduzione agli algoritmi e strutture dati (Edizione 3) | McGrawHill | 2010 | 978-88-386-6515-8 |
Examination Methods
There is only one assessment for both modules.
The exam verifies that the students have acquired sufficient confidence and skill in: the use of basic algorithmic design, algorithmic analysis tools, and Java implementation of algorithms. The exam consists of a written test with multiple-choices and open questions. The multiple-choices exercises are meant to evaluate the student's knowledge of classical algorithms, analysis tools, and the basic knowledge of Java. Open exercises test are meant to evaluate the ability of students to model "new" toy problems, design and analyse algorithmic solutions for it, and implement the algorithm solution in Java.
Type D and Type F activities
years | Modules | TAF | Teacher |
---|---|---|---|
3° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
3° | Python programming language | D |
Maurizio Boscaini
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
3° | CyberPhysical Laboratory | D |
Andrea Calanca
(Coordinator)
|
3° | C++ Programming Language | D |
Federico Busato
(Coordinator)
|
3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
3° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
3° | Corso Europrogettazione | D | Not yet assigned |
3° | The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. | D |
Matteo Cristani
|
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
List of theses and work experience proposals
Stage | Research area |
---|---|
Correlated mutations | Various topics |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.