Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
Queste informazioni sono destinate esclusivamente agli studenti e alle studentesse già iscritti a questo corso. Se sei un nuovo studente interessato all'immatricolazione, trovi le informazioni sul percorso di studi alla pagina del corso:
Laurea magistrale in Mathematics - Immatricolazione dal 2025/2026.The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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3 course to be chosen among the following
One course to be chosen among the following
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Scientific computing (seminar course) (2016/2017)
Teaching code
4S001115
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
MAT/08 - NUMERICAL ANALYSIS
Period
II sem. dal Mar 1, 2017 al Jun 9, 2017.
Learning outcomes
The purpose of the course is to give the student a solid appreciation of the deep connections between mathematics and other scientific disciplines, both in terms of the mathematical problems that they inspire and the important role that mathematics plays in scientific research. Mathematical software tools, and others, will be used to implement algorithms for the solution of the problems studied during the course. At the end of the course it is expected that the student has the ability to construct and develop mathematical models for scientific problems and to analyze their limits and applicability.
Program
The course will discuss the following topics:
* Advanced methods for the solution of differential equations (ODE and PDE) with applications to the biological and life sciences
Examination Methods
To pass the exam the student must demonstrate the ability to mathematically model problems expressed in terms of other scientific disciplines, using, adapting and developing the models discussed in the lectures. To that end the student will be assigned one or more more projects that are to be presented orally.
Teaching materials e documents
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Circulatory system presentation (pdf, en, 467 KB, 2/22/17)