Discrete Biological Models (2011/2012)

Course code
Name of lecturer
Giuditta Franco
Giuditta Franco
Number of ECTS credits allocated
Academic sector
Language of instruction
I semestre dal Oct 3, 2011 al Jan 31, 2012.

Lesson timetable

I semestre
Day Time Type Place Note
Tuesday 2:30 PM - 4:30 PM lesson Lecture Hall G  
Thursday 2:30 PM - 4:30 PM lesson Lecture Hall B  
Thursday 4:30 PM - 5:30 PM lesson Lecture Hall B  

Learning outcomes

The course is designed to introduce 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, by means of 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 both traditional mathematical models and computational models of cellular and molecular processes, proposed along with a few case studies.


Part I (traditional mathematical models)
Introduction to different classes of models, and to discrete models
Discrete mathematics fundamentals - induction and recurrence
Fibonacci numbers and golden section in nature
Iterative biological models
Malthusian biological population growth models
Dynamical systems, and logistic map
Lotka-Volterra model and cobweb model of supply/demand interaction
Discrete SIR model of epidemics

Part II (non-conventional bioinformatics models)
Formal languages and biological grammars
Computational models of bio-molecular processes, NP-completeness
Informational structure of DNA molecule, operations, experimental techniques, and bio-algorithms
XPCR for string recombination and concatenation
DNA algorithms solving SAT
Membrane models, and minimal cell
Discrete models of metabolism
Procedures based on bacterial growth, and related experimental techniques

Assessment methods and criteria

Oral exam, or a couple of written midterm exams

Teaching aids


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

Outcomes Exams Outcomes Percentages Average Standard Deviation
Positive 75.0% 25 3
Rejected --
Absent 16.66%
Ritirati 4.16%
Canceled 4.16%
Distribuzione degli esiti positivi
18 19 20 21 22 23 24 25 26 27 28 29 30 30 e Lode
5.5% 0.0% 0.0% 11.1% 11.1% 0.0% 11.1% 16.6% 11.1% 5.5% 11.1% 5.5% 11.1% 0.0%

Data from AA 2011/2012 based on 24 students. I valori in percentuale sono arrotondati al numero intero più vicino.