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.

The Study plan 2007/2008 will be available by May 2nd. While waiting for it to be published, consult the Study plan for the current academic year at the following link.

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

4S01908

Coordinator

Giuditta Franco

Credits

6

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

2nd Semester dal Mar 1, 2010 al Jun 15, 2010.

Learning outcomes

The course exhibits several methodologies to model phenomena occurring in nature by means of discrete mathematical tools and computational systems. The goal is to develop the ability of the student to master different approaches of discrete biological modeling, along the presentation of the state of the art and of the most recent problematics. Basic concepts (of mathematics, computer science, biology) are recalled, to better understand some traditional mathematical models, algorithms of natural computing, and biological networks, proposed along with a few case studies.

Program

Introduction to different classes of models, and to discrete models
Fibonacci numbers and golden section in nature
Differential biological models, and recurrence equations
Malthusian biological population growth models
Dynamical systems, and logistic map
Discrete SIR model of epidemics
Formal languages and biological grammars
Analysis of DNA bio-molecular processes related to PCR
String operations and molecular biology experimental techniques
XPCR for string recombination and concatenation
DNA computing
Trees and membrane models
Discrete models of metabolism
Graphs and biological networks
Models of population evolution
Operations on micro-organisms and experimental techniques

Examination Methods

Oral exam

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