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  1. Courses

500703 - BIOMATHEMATICS

courses
ID:
500703
Duration (hours):
56
CFU:
6
SSD:
ANALISI NUMERICA
Year:
2025
  • Overview
  • Syllabus
  • Degrees
  • People

Overview

Date/time interval

Primo Semestre (29/09/2025 - 16/01/2026)

Syllabus

Course Objectives

The course proposes an introduction to the mathematical modeling and simulation of physiological systems in biological sciences (cellular physiology dynamics of excitable cells) providing the main analytical and numerical methods for the investigation of the mathematical models and the interpretation of the simulated results

Course Prerequisites

Basic mathematical courses of the "laurea triennale" (undergraduate) + the course Dynamical systems: theory and numerical methods

Teaching Methods

Lectures + Matlab laboratory

Assessment Methods

Learning will be assessed by periodic tests during the Matlab labs and by a final written exam consisting in the solution of 4 complex problems in 3 hours, where the students will be allowed to use notes, slides, books, and the codes writtens during the course.

Texts

F. Britton. Essential Mathematical Biology. Springer-Verlag, Heidelberg, 2003.

J.P. Keneer, J. Sneyd. Mathematical Physiology. Springer-Verlag, New York, 1998.

J.P. Keneer, J. Sneyd. Mathematical Physiology I: Cellular Physiology. Springer-Verlag, New York, 2009.

J.P. Keneer, J. Sneyd. Mathematical Physiology II: System Physiology. Springer-Verlag, New York, 2009.

P. Colli Franzone, L. F. Pavarino, S. Scacchi. Mathematical Cardiac Electrophysiology. Springer, 2014

Contents

The course proposes an introduction to the mathematical modeling and simulation of some physiological systems: enzyme kinetics, dynamics of excitable cells, reaction-diffusion systems, bioelectric cardiac processes.
- Models of cellular physiology.
- Mass action law, biochemical and enzymatic reactions, enzyme kinetics and quasi-steady approximation, cooperative and inhibition phenomena.
- Cellular electrophysiology, Nernst potential, electro-diffusion models, approximate current-voltage relationships.
- Ionic currents, ion channels with multiple subunits, voltage-clamping, Hodgkin-Huxley formalism.
- Approximate two variable excitable models, FitzHugh-Nagumo model: threshold effect and limit cycles.
- Hodgkin - Huxley model for the action potential, threshold effects, refractoriness, bifurcation diagrams.
- Introduction to reaction - diffusion models, balance laws, diffusion equation. Reaction and transport terms. Initial and boundary conditions.
- Numerical approximation of evolution problems.
- Introduction to propagation in excitable media.
- Cable equation, bistable equation, traveling waves.
- Computational Electrocardiology. Anisotropic bidomain model, excitation wavefront propagation, reentry phenomena.

Course Language

Italian

Degrees

Degrees (2)

Bioengineering 
Master’s Degree
2 years
COMPUTATIONAL AND MODELLING ENGINEERING FOR MATERIALS, STRUCTURES, AND SUSTAINABLE TECHNOLOGIES 
Master’s Degree
2 years
No Results Found

People

People

PAVARINO LUCA FRANCO
Settore MATH-05/A - Analisi numerica
AREA MIN. 01 - Scienze matematiche e informatiche
Gruppo 01/MATH-05 - ANALISI NUMERICA
Professore Ordinario
No Results Found
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