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.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010 A.A. 2005/2006

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.

1° Year

ModulesCreditsTAFSSD
6
A
MAT/02
6
A
MAT/05
6
A
FIS/01
6
A
INF/01
12
A
INF/01
6
C
BIO/13
6
C
CHIM/03
6
C
CHIM/06
6
E
-

2° Year  activated in the A.Y. 2010/2011

ModulesCreditsTAFSSD
6
A
MAT/06
12
B
INF/01
12
B
INF/01
12
B
ING-INF/05
12
C
BIO/10
6
C
BIO/18

3° Year  activated in the A.Y. 2011/2012

ModulesCreditsTAFSSD
12
B
INF/01
Due insegnamenti a scelta
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
ING-INF/05
6
B
INF/01
12
C
BIO/10 ,BIO/11
Un insegnamento a scelta
6
C
BIO/04
6
C
BIO/11
6
C
FIS/07
6
C
MAT/05
6
C
BIO/09
6
C
ING-IND/25
6
C
BIO/19
6
C
BIO/10
6
C
BIO/11
6
C
MAT/08
6
C
CHIM/02
12
D
-
Altre attivita' formative
3
F
-
Prova finale
3
E
-
activated in the A.Y. 2010/2011
ModulesCreditsTAFSSD
6
A
MAT/06
12
B
INF/01
12
B
INF/01
12
B
ING-INF/05
12
C
BIO/10
6
C
BIO/18

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Algorithms (2010/2011)

Teaching code

4S02709

Credits

12

Coordinator

Maria Paola Bonacina

Language

Italian

Seminars 0

The teaching is organized as follows:

ALGORITMI PER BIOINFORMATICA

Credits

6

Period

I semestre

Academic staff

Maria Paola Bonacina

LABORATORIO DI PROGRAMMAZIONE II

Credits

6

Period

I semestre

Academic staff

Alessandro Farinelli

Learning outcomes

Module: LABORATORIO DI PROGRAMMAZIONE II
-------
Objective of the course is to provide the basic knowledge to develop algorithms and use applications relevant to bioinformatics.


Module: ALGORITMI PER BIOINFORMATICA
-------
Objective of the course is to teach the basics in design and analysis of algorithms with emphasis on problems of interests for bioinformatics.

Program

Module: LABORATORIO DI PROGRAMMAZIONE II
-------
Java implementation of dynamic data structures and relevant algorithms. Recursion. Interfaces and packages. The student will acquire the necessary knowledge through assisted software development and realizing specific projects. Basic and advanced functionalities of spreadsheets targeted towards data visualization and statistical analysis. Basic functionalities for numerical data processing and statistics (MATLAB, R). Basic aspects to bioinformatic scripting languages.


Module: ALGORITMI PER BIOINFORMATICA
-------
Algorithms and complexity: big-O notation. Iterative vs. recursive algorithms. Sorting algorithms. Data structures. Exhaustive search. Greedy algorithms. Dynamic programming algorithms. Divide-and-conquer algorithms. Graph algorithms.
Introduction to NP-completeness.

Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
Neil C. Jones, Pavel A. Pevzner An introduction to bioinformatics algorithms (Edizione 1) MIT Press 2004 0-262-10106-8
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein Introduction to Algorithms (Edizione 3) MIT Press 2009 978-0-262-53305-8

Examination Methods

Module: LABORATORIO DI PROGRAMMAZIONE II
-------
The grade in Programming Lab II (PB) is worth 50% of the grade in the Algorithms class.

PB via Partial tests mode: it applies only to the exam sessions of February 2011. The exam consists of two partial tests P and L, where P is a programming project and L is a programming test that takes place in the Laboratory. The final grade is given by 50% P + 50% L.

PB via Single-test mode: the exam consists of a single programming test that takes place in the laboratory, whose difficulty is equivalent to that of the two partial tests, and whose grade determines alone the final grade for PB. This mode applies to all sessions.


Module: ALGORITMI PER BIOINFORMATICA
-------
The grade in Algorithms for Bioinformatics (AB) is worth 50% of the grade in the Algorithms class.

AB via multiple tests (only for the exams at the end of the course (February)): AB = 35% C1 + 40% C2 + 25% CC, where C1 and C2 are written tests in class and CC are the homeworks.

AB via single test: AB = 100% E, where E is a written test, whose difficulty equals that of C1 + C2 + CC.

If a student hands in E, the vote determined by C1 + C2 is cancelled. There is no choosing of grades.

In order to withdraw it is sufficient not to hand-in the test.

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