Mathematical Modeling in Evolutionary and Environmental Biology
A.Y. 2025/2026
Learning objectives
The goal of the course is to help students of Evolutionary Biology to understand how mathematical models in population dynamics are built and then studied. Special attention will be paid to biological assumptions and to the corresponding mathematical translation. Coherently with classical undergraduate courses given in foreign Universities, the student will be introduced to discrete and continuous dynamical systems, with focus on equilibria and their (linear) stability: applications to prey-predators, parassitoidism, competition and cooperation will be presented. Moreover, a small part of the course will present the mathematical treatment of fitness. In general, the overall idea is to educate students to parts of Mathematics which are internationally used for modeling biology.
Expected learning outcomes
At the end of the course the student will have:
* knowledge of simple mathematical models, in order to understand both at a qualitative and quantitative level biological phenomena.
* ability to interpret classical mathematical models in population dynamics (Ecology and Epidemiology)
* basic knowledge of a quantitative formulation of the Theory of Evolution.
* increased background in mathematical tools widespread in any field of Science, mainly Dynamical Systems, both in discrete and continuous time (ODE).
* knowledge of simple mathematical models, in order to understand both at a qualitative and quantitative level biological phenomena.
* ability to interpret classical mathematical models in population dynamics (Ecology and Epidemiology)
* basic knowledge of a quantitative formulation of the Theory of Evolution.
* increased background in mathematical tools widespread in any field of Science, mainly Dynamical Systems, both in discrete and continuous time (ODE).
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Professor(s)
Reception:
to be fixed by email
office num. 1039, first floor, Dep. Mathematics, via Saldini 50