The Master's degree course in Quantitative biology (QB) prepares graduates in biological and biotechnological disciplines to operate at the intersection between biology and physics. The quantitative approach requires a physical understanding of biological phenomena and the development of mathematical and computational tools for the analysis, understanding, and redesign of biological systems. The aim is to train a new generation of experts with integrated skills in biology, chemistry, physics, mathematics and computer science, able to perform accurate experimental measurements and apply predictive theoretical models, to explain biological complexity. Quantitative biology uses emerging technological and computational capabilities to model biological processes for biotechnological applications such as protein and metabolic engineering, drug discovery and synthetic biology. It is therefore proposed a path that includes training activities aimed at acquiring in-depth knowledge of:
- (a) biochemical and biophysical aspects of cellular processes and molecular interactions;
- (b) experimental methodologies for the study and measurement of these processes;
- (c) analytical techniques and protocols used in structural biology and molecular and cellular biophysics studies;
- (d) technical bases of modelling in systems biology for the study of interactions in complex biological systems;
- (e) linear algebra, matrix calculus and its use in the description of dynamic biological phenomena and to
- understand the basis of artificial intelligence (machine learning);
- (f) Python programming language and its use for statistical data analysis;
- (g) formal logic elements
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