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 Bioinformatica - 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. 2022/2023

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module among the following
6
C
FIS/07

3° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
Final exam
3
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module among the following
6
C
FIS/07
Modules Credits TAF SSD
Between the years: 2°- 3°
Between the years: 2°- 3°
Further activities
3
F
-

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

4S02709

Credits

12

Coordinator

Roberto Posenato

Language

Italian

The teaching is organized as follows:

ALGORITMI PER BIOINFORMATICA

Credits

6

Period

Semester 2

Academic staff

Roberto Posenato

LABORATORIO DI PROGRAMMAZIONE II

Credits

6

Period

See the unit page

Academic staff

See the unit page

Learning objectives

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.

Prerequisites and basic notions

Knowledge of the fundamental concepts of discrete mathematics, probability calculus and graph theory. Sequences and series.
Resolution of the most important series. Concept of probability, space of events, random variables, probability distribution functions. Mean, variance. Independent random variables. Fundamental probability functions: uniform, geometric, Bernoulli, binomial and normal (Gaussian). Equations of recurrence. Graph, Directed graph, Degree of node and graph, Path, Weighted path, Cycle. Tree, rooted tree, binary tree.

Knowledge of the fundamental concepts of programming:
Basic scalar types: integer, decimal (scientific notation), character, boolean
Concept of variable and parameter. Array.
Instructions: assignment, IF, FOR and WHILE loops.
Procedures, Functions, Procedure Call, Parameter Passing by Value and by reference.
Recursive procedures.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Criteria for the composition of the final grade

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.