Discrete Biological Models (2009/2010)

Course code
Name of lecturer
Giuditta Franco
Giuditta Franco
Number of ECTS credits allocated
Other available courses
Academic sector
Language of instruction
2nd Semester dal Mar 1, 2010 al Jun 15, 2010.

Lesson timetable

2nd Semester
Day Time Type Place Note
Thursday 2:30 PM - 4:30 PM lesson Lecture Hall F  
Friday 2:30 PM - 4:30 PM lesson Lecture Hall F  

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.


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

Assessment methods and criteria

Oral exam

Statistics about transparency requirements (Attuazione Art. 2 del D.M. 31/10/2007, n. 544)

Outcomes Exams Outcomes Percentages Average Standard Deviation
Positive 58.82% 25 3
Rejected --
Absent 11.76%
Ritirati 29.41%
Canceled --
Distribuzione degli esiti positivi
18 19 20 21 22 23 24 25 26 27 28 29 30 30 e Lode
0.0% 10.0% 10.0% 0.0% 0.0% 10.0% 0.0% 20.0% 0.0% 0.0% 40.0% 0.0% 10.0% 0.0%

Data from AA 2009/2010 based on 17 students. I valori in percentuale sono arrotondati al numero intero più vicino.