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.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Matematica applicata - Enrollment from 2025/2026

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.

2° Year  activated in the A.Y. 2013/2014

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
B
MAT/06
One course chosen from the following two
6
C
SECS-P/01
6
C
FIS/01
One course chosen from the following two
6
C
SECS-P/01

3° Year  activated in the A.Y. 2014/2015

ModulesCreditsTAFSSD
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
6
C
MAT/06 ,SECS-P/05
Prova finale
6
E
-
activated in the A.Y. 2013/2014
ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
B
MAT/06
One course chosen from the following two
6
C
SECS-P/01
6
C
FIS/01
One course chosen from the following two
6
C
SECS-P/01
activated in the A.Y. 2014/2015
ModulesCreditsTAFSSD
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
6
C
MAT/06 ,SECS-P/05
Prova finale
6
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Other activities
6
F
-
Between the years: 1°- 2°- 3°

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

4S02751

Credits

12

Coordinator

Ugo Solitro

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria

Credits

8

Period

I semestre, II semestre

Academic staff

Ugo Solitro

Laboratorio

Credits

4

Period

I semestre, II semestre

Academic staff

Maurizio Boscaini

Learning outcomes

Module: theory.
-------
Introduction to informatics.
Study the principles of programming
Basic techniques for the analysis and solution of the problems
Introduction to the methods for the evaluation of correctness and efficiency of algorithms.

Module: laboratory.
-------
Knowledge of a programming language
Developing of projects of small or medium size.
Application of the techniques of algorithms evaluation.

Program

Module: theory.
-------

Introduction to Computing Science.

Part I - problems, algorithms and programs.

- Basics: problem, specifics, algorithm; abstract machine, compiler and interpreter; programming languages.
- Introduction to the programming language.
- Elementary programming: basic instructions and development of simple programs.
- Data types. The general concept of data type: characterization and data representation. Variables, expressions and assignment. Abstract Data Types.
- Primitive data types: characterization, usage and related problems.
- Program structure. Fundamental instructions.
- Sub-programs: structure, parameters and visibility.
- Structured data types. Arrays, pointers, strings and other data structures.
- Basics of objects.
- Dynamic data structures.
- Introduction to graphs and other subjects.

Part II - Analysis of Algorithms

- Correctness: termination, logic properties; methods for the correctness verification.
- Introduction to the complexity. Performance of algorithms. Evaluation of efficiency. Computational costs.
- Asymptotic estimation of the complexity in time and space. The worst and medium case.
- Amortized analysis.
- Static sequences: implementation and algorithms.
- Matrices and Vectors: implementation, operations and algorithms.
- Dynamic sequences: abstract definition and implementation; basic operations.
- Trees. Abstract definition and implementation. Basic operation. Binary research trees.
- Introduction to graphs.

The styles of programming.
Imperative Programming and basics of Object Oriented Programming
-------------------

Module: laboratory.
-------

In the laboratory we familiarize with the programming language developing projects based on the ideas presented in the lessons.
We study the fundamental elements of the language and we deal with the problems that arise in the development of the solution; in particular we acquire skill in editing, compiling, debugging and basic project management.

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria Bertossi, Alan e Montresor, Alberto Algoritmi e strutture di dati (Edizione 3) Città Studi Edizioni, De Agostini Scuola 2014 978-8-825-17395-6
Teoria Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein Introduction to Algorithms (Edizione 3) MIT Press 2009 978-0-262-53305-8 Testo di riferimento e consultazione
Teoria Savitch, Walter e Carrano, Frank M. Programmazione con Java (Edizione 1) Pearson Prentice Hall Italia 2010 9-788871-926148

Examination Methods

The exam is unique and consists in two parts:
- a first written test concerning the topics of the course and the laboratory activity.
- the final part (the admission is subject to the approval of the first one) consisting in general questions, exercises and a discussion on the examination paper, the lab activity.
The final written exam can be replaced by tests that take place during the teaching periods.

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