Study of mathematical models and methods (from both the theoretical and the numerical point of view) with applications to econophysics, biomedicine, statistics, data science and image processing. At the end of the course it is expected that the student has the ability to construct, develop and implement mathematical models for the applied sciences and to analyze their limits and applicability.
The entire course will be available online. In addition, a number of the lessons/all the lessons (see the course
schedule) will be held in-class.
Mathematical models and methods in biology, medicine and econophysics.
Variational methods for material science and image processing: theory and applications.
Optimization and learning methods in data analysis, applications to statistics and biomedicine.
|DISPENSE||Dispense fornite dal docente||2015|
|J. Murray||Mathematical Biology||Springer||2002||0-387-95223-3|
In order to successfully pass the exam the student is expected to be able to mathematically describe a problem arising in different scientific disciplines, using, adapting and developing models and methods studied during the course.
The exam will consist in an in-depth study of some of the course topics, with the implementation of a numerical project (in MATLAB) and a final expository talk
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