Rehabilitation sciences and techniquesModule Bioengineering
Academic Year 2022/2023 - Teacher: CHIARA BIANCA MARIA PLATANIAExpected Learning Outcomes
The student will be introduced to the main approaches and methodologies used within bioengineering. Some mathematical and computational models for the analysis of biological systems will be introduced. The student will learn some mathematical and computational tools for the treatment of these models.
Course Structure
The module includes lectures and tutorials.
Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus
Required Prerequisites
math and physics
Detailed Course Content
Introduction to Bioengineering.
Complex Networks.
Complex Networks for Biological Circuits.
Analysis of Genetic, Protein and Metabolic Networks.
Examples of Artificial Intelligence and Bioengineering.
Sensors
Biomedical data analysis
Textbook Information
Luigi Landini, Nicola Vanello, Analisi e Modelli di Segnali Biomedici, Pisa University Press, 2016
Silvio Cavalcanti (A cura di), Biologia Sintetica, Gruppo Nazionale di Bioingegneria, N. 29, Pàtron Editore.
Luigi Landini, Nicola Vanello, Analisi e Modelli di Segnali Biomedici, Pisa University Press, 2016
Learning Assessment
Learning Assessment Procedures
written and verbal test
VERSIONE IN ITALIANO