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.
Type D and Type F activities
years | Modules | TAF | Teacher |
---|---|---|---|
3° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
3° | Python programming language | D |
Maurizio Boscaini
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
3° | CyberPhysical Laboratory | D |
Andrea Calanca
(Coordinator)
|
3° | C++ Programming Language | D |
Federico Busato
(Coordinator)
|
3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
3° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
3° | Corso Europrogettazione | D | Not yet assigned |
3° | The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. | D |
Matteo Cristani
|
Discrete Biological Models (2019/2020)
Teaching code
4S01908
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
II semestre dal Mar 2, 2020 al Jun 12, 2020.
Learning outcomes
Acquisition of methods of discrete mathematics in the analysis of biological phenomena, with a major emphasis on the computational analysis of genomes. In particular discrete probability and information theory are revisited in the perspective of genome analysis.
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.
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
T. M. Cover, J. A. Thomas | Elements of Information Theory (Edizione 1) | John Wiley & Sons, Inc. | 1991 | 0471062596 | |
Vincenzo Manca | Infobiotics | Springer | 2013 | ||
Sebastian Bassi | Python for Bioinformatics (Edizione 2) | Routledge | 2017 | 1138035262 |
Examination Methods
The exam consists of an oral examination plus the development of a project.
The oral exam covers the entire course program and the assessment is expressed with a vote from 0 to 30.
The project is agreed upon with the student starting from a list of projects proposed by the teacher. The evaluation of the project is expressed by a vote from 0 to 30.
The final grade is the average of the two assessments, oral exam and project.