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
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 2025/2026The 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
Modules | Credits | TAF | SSD |
---|
2° Year activated in the A.Y. 2014/2015
Modules | Credits | TAF | SSD |
---|
3° Year activated in the A.Y. 2015/2016
Modules | Credits | TAF | SSD |
---|
Due insegnamenti a scelta
Un insegnamento a scelta
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
Due insegnamenti a scelta
Un insegnamento a scelta
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.
Discrete Biological Models (2015/2016)
Teaching code
4S01908
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
II semestre dal Mar 1, 2016 al Jun 10, 2016.
Learning outcomes
Acquisition of methods of discrete mathematics in the analysis of biological phenomena, with a major emphasis on the bio-molecular processes of cell.
Program
Basic notation on sequences and strings. The problems of substring and superstring. Lexicographic ordering and suffix arrays. Advanced combinatorial schemata and discrete probability. Random sequences and fundamental probability laws on them (Bernoulli, Poisson, Exponential, Gauss). Information sources and entropy. Conditional entropy, entropic divergences and mutual information. Genomes, genomic indexes, genomic dictionaries, genomic distributions and entropies. Representations and visualizations of genomes. Types of codes and genetic code. Sequence duplications and double sequences. The sequence paradox and other life paradoxes. Cellular dynamics and recurrent equations. Biological networks and their principal aspects.
Examination Methods
Oral exam, with a written midterm exam.