Biomathematics 3
A.Y. 2024/2025
Learning objectives
The objective of the course is to provide the student with the ability to model biological phenomena, in particular those that require probabilistic tools (largely already acquired in the basic Probability courses) and Statistical Mechanics in the sense of Mathematical Physics (which will be introduced in the course) . Biological applications will focus on the Theory of Evolution on the one hand, and on complex (biological) systems on the other.
Expected learning outcomes
The student will learn to model biological systems that require a probabilistic or statistical mechanics treatment, and will become familiar with the simplest mathematical models for Evolution and for the study of complex systems.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
The program will roughly speaking subdivided as follows.
The Italian version contains a more detailed list of topics, but this is too much material to be covered, and some choice will be needed, and made depending also on the interests of the students.
· Parte I: Background (3 settimane)
· Parte II: Evoluzione (6 settimane)
· Parte III: Sistemi complessi (3 settimane)
The Italian version contains a more detailed list of topics, but this is too much material to be covered, and some choice will be needed, and made depending also on the interests of the students.
· Parte I: Background (3 settimane)
· Parte II: Evoluzione (6 settimane)
· Parte III: Sistemi complessi (3 settimane)
Prerequisites for admission
It will be assumed that the student is familiari wth the topics covered in the mandatory course of the B.Sc.
Knowing some basics of stochastic methods and stattistrical mechanics will make easier tyo follow the course, and similarly those having taken the Biomathematics 1 course will better appreciate the topics covered. But this background is NOT required to follow the course
Knowing some basics of stochastic methods and stattistrical mechanics will make easier tyo follow the course, and similarly those having taken the Biomathematics 1 course will better appreciate the topics covered. But this background is NOT required to follow the course
Teaching methods
Traditional lectures and self-study. The student may be required to run some numerical simulations.
Teaching Resources
Some lecture notes will be available; bibliographic references will be provided at the lectures
Assessment methods and Criteria
Oral examination
MAT/07 - MATHEMATICAL PHYSICS - University credits: 6
Lessons: 42 hours
Professor:
Gaeta Giuseppe
Shifts:
Turno
Professor:
Gaeta GiuseppeEducational website(s)
Professor(s)