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. 2014/2015

ModulesCreditsTAFSSD
12
B
INF/01
12
C
BIO/10
6
C
BIO/18
activated in the A.Y. 2014/2015
ModulesCreditsTAFSSD
12
B
INF/01
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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S02709

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

I sem. dal Oct 1, 2014 al Jan 30, 2015.

To show the organization of the course that includes this module, follow this link:  Course organization

Learning outcomes

Objective of the course is to provide the basic knowledge to develop algorithms and use applications relevant to bioinformatics.

Program

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. Development of algorithms for sorting, search (greedy and exhaustive) and main algorithms on graphs, applied to problems that are relevant to bioinformatics. Basic functionalities of numerical tools (MATLAB) and spreadsheets for data visualization and statistical analysis. All the teaching material for this course is available on the course web page hosted on the teachers' web site.

Examination Methods

The grade in "Algorithms" is given by 50% AB + 50% LPII, where AB is the grade in "Algorithms for Bioinformatics" and LPII is the grade in "Programming Laboratory II".
LPII = 50% P + 50% L, where P is a project in the lab and L is a lab test. The grade thus generated is registered at the first exam session in February.
Alternatively, LPII = 100% EL, where EL is a lab test, hard enough to match the difficulty of P + L, respectively.
All tests and projects are individual work. Cheating is strictly forbidden and will determine lowering of grades for all students involved.

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