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
Ugolini Simone
simone.ugolini@univr.itZoppello Marta
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 |
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Mathematical analysis 1
Computer Architecture
2° Year activated in the A.Y. 2019/2020
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2020/2021
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Mathematical analysis 1
Computer Architecture
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Programming I [Matricole dispari] (2018/2019)
Teaching code
4S02723
Credits
12
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
This course provides students with the basic ability needed to write programs in an imperative lan- guage of procedural nature (e.g., C), with particular emphasis on the relationship between the pro- gramming language and the underlying hardware machine, on the concept of recursion, and on the implementation of simple data structures, both recursive and non-recursive.
At the end of the course, the student will have to demonstrate
to own knowledge and comprehension ability on the concepts at the basis of programming through an imperative language of procedural nature; organization ability, implementation and translation on that language, and analysis through de bugging of algorithms and of the corresponding data structures starting from specifications;
to be able to develop know-how necessary to continue the study autonomously in the field of programming and Software development.
Program
Theory:
------------
• Introduction.
• Fundamental concepts: programming, high-level languages, operating systems, program compiling.
• Compiling and execution of the first program: first program compiling, first program execution, first program description, variable visualization, comments.
• Variables, data types and arithmetic expressions: operating with variables, data types and constants, operating with arithmetic expressions, combining operations with assignment – assignment operators.
• Iteration: for instruction, while instruction, do instruction.
• Taking decisions: if instruction, switch instruction, Boolean variables, conditional statement.
• Statements with arrays: array definition, array initialization, arrays of chars, multidimensional arrays.
• Functions: function definition, arguments and local variables, returning results of a function, functions that call functions that calling functions…, top-down programming, functions and arrays, global variables, automatic and static variables, recursive functions.
• Structures: a structure for data storing, functions and structures, structure initialization, array of structures, structures containing structures, structures containing arrays, variants of structures.
• Strings of chars: arrays of chars, strings of chars of variable length, escape sequences, other information of constant strings, char strings, structures and arrays, operations with chars.
• Pointers: pointer definition, using pointers in expressions, pointers and structures, pointers and functions, pointers and arrays, operations on pointers, pointers and memory addresses.
• The preprocessing: #define directive, #include directive, conditional compiling.
• Input/Output operations: I/O of chars – getchar and putchar, printf and scanf
• Advanced characteristics: comma operator, dynamic memory allocation.
Laboratory:
-----------------
• Introduction, file system, bash, editor.
• Practical programming in lab by applying all the arguments explained in the theory part: examples, exercises.
• Code debugging: gdb, ddd, and CodeBlocks.
Bibliography
Activity | Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|---|
Teoria | Stephen G. Kochan | Programmare in C (Edizione 3) | Pearson | 2011 | 9788871926605 |
Examination Methods
The exam, unified with the Laboratory module, consists in two parts, that will take place around February (first part) and June (second part). The final global mark will be the composition (average) of the marks of the two parts. Students who do not pass these partial exams can try again in the normal 4 examinations scattered around the year, starting from June. Those exams are on the total program of the course.
The exams (partial as well as total) verify the ability in coding simple programs to the computer or a written exam.
To pass the exam, the students have to show:
- they have understood the principles related to the programming in C language
- they are able to develop C code and to analyze its correctness and problems through debugging
- they are able to apply the acquired knowledge to implement algorithms in C code by starting from specifications given as exercises.
The emphasis in the evaluation will be given to the ability to organize algorithms and data structures and to translate them into the C language.
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 also via the Univr app.
Graduation
List of thesis 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 dell'analisi dei dati | Various topics |
Attendance modes and venues
As stated in the Teaching Regulations, attendance at the course of study is not mandatory.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.