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
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2° Year activated in the A.Y. 2010/2011
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3° Year activated in the A.Y. 2011/2012
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Due insegnamenti a scelta
Un insegnamento a scelta
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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 (2011/2012)
Teaching code
4S01908
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
I semestre dal Oct 3, 2011 al Jan 31, 2012.
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.
Program
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
Examination Methods
Oral exam, or a couple of written midterm exams
Teaching materials e documents
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CorrezioneCompitoFinale (pdf, it, 97 KB, 2/6/12)
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RisultatiPrimaProvaParziale (pdf, it, 20 KB, 2/2/12)
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RisultatiSecondaProvaParziale (pdf, it, 26 KB, 1/31/12)
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VotiCompitoFinale (pdf, it, 26 KB, 2/6/12)
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VotiFinaliEntrambeProveParziali (pdf, it, 27 KB, 2/2/12)