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 magistrale in Ingegneria e scienze informatiche - 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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05

2° Year   activated in the A.Y. 2011/2012

ModulesCreditsTAFSSD
6
B
INF/01
Altre attivita' formative
4
F
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
activated in the A.Y. 2011/2012
ModulesCreditsTAFSSD
6
B
INF/01
Altre attivita' formative
4
F
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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

4S02794

Credits

6

Coordinator

Not yet assigned

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Laboratorio
The activity is given by Models of Natural Computing - Laboratorio of the course: Master's degree in Bioinformatics and Medical Biotechnology

Credits

3

Period

I semestre

Academic staff

Vincenzo Manca

Teoria
The activity is given by Models of Natural Computing - Teoria of the course: Master's degree in Bioinformatics and Medical Biotechnology

Credits

3

Period

I semestre

Academic staff

Vincenzo Manca

Learning outcomes

The course presents some bioinspired models of computation (DAN and Membrane computing), by developing the aapect of interaction between these models and the computational analysis of biological systems.It is strongly recommended to follow at least 60 % of the hours of the course.

Program

Reviews of computations, grammars, languages, automata. Bioinspired computations, types and fundamental paradigms. DNA structure and transcription/translation computations. DNA notations and operations. Geometrical model of bilinear molecular structures. DNA test tube operations. Adleman-Lipton model and algorithmic analysis of DNA protocols. PCR. XPCR. Membrane and membrane computations. MP systems. Biological models based on MP grammars. Models of biological dynamics. Problems of computational synthetic biology.

Examination Methods

Oral examination, possibly with the discussion of a previously defined project.

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