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
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Mathematics - Enrollment from 2025/2026The 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 |
|---|
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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3 modules to be chosen among the followingTo be chosen betweenLegend | 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) (2018/2019)
Teaching code
4S001115
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
MAT/08 - NUMERICAL ANALYSIS
Period
II semestre dal Mar 4, 2019 al Jun 14, 2019.
Learning outcomes
The purpose of the course is to give the student a solid appreciation of the most common mathematical methods and implementation algorithms for the solution on a computer of scientific and engineering problems. Mathematical software tools and high-level scientific environments 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 easily use software and computational tools, such as high-level scientific environments, to implement the analyzed algorithms. Given the heterogeneity of the analyzed methods, the student will learn to talk clearly and profitably with experts from other sectors, recognizing the possibility of mathematically formalizing problems in applied sciences, industry or finance.
Program
The course will discuss the following topics:
* Advanced methods for the solution of algebraic and differential equations, with applications to life sciences.
Part of the course will be given by Dr. Simona Schiavi.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Rubin H. Landau, Manuel José Pàez, Cristian C. Bordeianu | A survey of computational physics | 2008 | |||
| Yousef Saad | Iterative Methods for Sparse Linear systems | SIAM | 2013 |
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 projects that are to be presented orally.
