## 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, 2018 | Jan 31, 2019 |

II semestre | Mar 4, 2019 | Jun 14, 2019 |

Session | From | To |
---|---|---|

Sessione invernale d'esame | Feb 1, 2019 | Feb 28, 2019 |

Sessione estiva d'esame | Jun 17, 2019 | Jul 31, 2019 |

Sessione autunnale d'esame | Sep 2, 2019 | Sep 30, 2019 |

Session | From | To |
---|---|---|

Sessione Estiva | Jul 17, 2019 | Jul 17, 2019 |

Sessione Autunnale | Nov 20, 2019 | Nov 20, 2019 |

Sessione Invernale | Mar 17, 2020 | Mar 17, 2020 |

Period | From | To |
---|---|---|

Sospensione dell'attività didattica | Nov 2, 2018 | Nov 3, 2018 |

Vacanze di Natale | Dec 24, 2018 | Jan 6, 2019 |

Vacanze di Pasqua | Apr 19, 2019 | Apr 28, 2019 |

Festa del Santo Patrono | May 21, 2019 | May 21, 2019 |

Vacanze estive | Aug 5, 2019 | Aug 18, 2019 |

## 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.

## Academic staff

Dall'Alba Diego

diego.dallalba@univr.it +39 045 802 7074## 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.

Modules | Credits | TAF | SSD |
---|

Mathematical analysis 1

Computer Architecture

Modules | Credits | TAF | SSD |
---|

Modules | Credits | TAF | SSD |
---|

1° Year

Modules | Credits | TAF | SSD |
---|

Mathematical analysis 1

Computer Architecture

2° Year activated in the A.Y. 2019/2020

Modules | Credits | TAF | SSD |
---|

3° Year activated in the A.Y. 2020/2021

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.

### Mathematical analysis 2 (2019/2020)

Teaching code

4S00031

Teacher

Coordinatore

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/05 - MATHEMATICAL ANALYSIS

Period

I semestre dal Oct 1, 2019 al Jan 31, 2020.

## Learning outcomes

The aim of the course is to provide students with the fundamental notions of differential and integral calculus in many variables, generalizing and mastering the notions learned in the course “Mathematical Analysis I” and employing, if needed, the notions of the other courses attended during the first year of the Bachelor in Computer Science.

At the end of the course the student must prove:

- to know and to be able to understand the tools and the advanced notions of the mathematical analysis and to use such notions for the solution of problems;

- to be able to use the notions learned in the course for the comprehension of the topics of further courses, not necessarily in the mathematical area, where the knowledge of mathematical analysis can be a prerequisite;

- to be able to choose which mathematical tool or theoretical result can be useful for the solution of a problem;

- to be able to appropriately use the language and the formalism of the mathematical analysis;

- to be able to broaden the knowledge in Mathematics, Computer Science or in any scientific area using, when needed, the notions of the course.

## Program

1) Ordinary differential equations (ODE). General integral of an ODE. Cauchy problems. Separable variable differential equations. First and second-order linear differential equations.

2) Differential calculus for functions of many variables. Graphs and level sets. Limits and continuity for functions of many variables. Topology in R^n. Partial derivatives. Unconstrained and constrained optimization.

3) Integral calculus in many variables: line integrals of a scalar field, double and triple integrals. Vector fields. Line integrals of a vector field.

4) Area of a surface and surface integrals.

Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|

M. Bramanti, C. D. Pagani, S. Salsa | Analisi Matematica 2 | Zanichelli | 2009 | 978-88-08-12281-0 |

## Examination Methods

The final exam is written and must be completed in 3 hours. Oral exams will not take place. The exam paper consists of questions and open-ended exercises. The total of the marks of the exam paper is 32. Any topic dealt with during the lectures can be examined. Students are not allowed to use books, notes or electronic devices during the exam. The mark of any exercise will take into consideration not only the correctness of the results, but also the method adopted for the solution and the precise references to theoretical results (e.g. theorems) taught during the lectures. The pass mark for the exam is 18.

A midterm exam will take place during the midterm week, according to the Computer Science Department's calendar. Students who take part to the midterm (whose total of the marks is 16) can decide to solve only the second part of the exam in any exam session till 30 September 2020. The total of the marks of the second part is 16. The final mark is given by the sum of the marks of the midterm and the second part.

**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.

## Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.

## Graduation

## List of theses and work experience proposals

theses proposals | Research area |
---|---|

Analisi e percezione dei segnali biometrici per l'interazione con robot | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |

Integrazione del simulatore del robot Nao con Oculus Rift | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |

Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games |

Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |

BS or MS theses in automated reasoning | Computing Methodologies - ARTIFICIAL INTELLIGENCE |

Domain Adaptation | Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION |

Domain Adaptation | Computing methodologies - Machine learning |

Dati geografici | Information Systems - INFORMATION SYSTEMS APPLICATIONS |

Analisi e percezione dei segnali biometrici per l'interazione con robot | Robotics - Robotics |

Integrazione del simulatore del robot Nao con Oculus Rift | Robotics - Robotics |

BS or MS theses in automated reasoning | Theory of computation - Logic |

BS or MS theses in automated reasoning | Theory of computation - Semantics and reasoning |

Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata | Various topics |

Proposte di Tesi/Stage/Progetto nell'ambito delle basi di dati/sistemi informativi | Various topics |

## 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.