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
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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1 module between the following1 module between the following 3 modules among the followingLegend | 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.
Data Fitting and Reconstruction (2020/2021)
Teaching code
4S008269
Academic staff
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
MAT/08 - NUMERICAL ANALYSIS
Period
I semestre dal Oct 1, 2020 al Jan 29, 2021.
Learning outcomes
The course will discuss the theory and practice of approximation of functions and data, in both the univariate and multivariate setting, with an emphasis on splines of various types and interpolation, including subdivsion and other methods for surface reconstruction. A part of the course will be held in a Laboratory setting where some of the techniques presented during the lectures will be implemented in Matlab. At the end of the course the student is expected to be able to demonstrate an in-depth knowledge of the techniques of univariate and multivariate approximation.
Program
The entire course will be made available online. Moreover the laboratory part of the course will also be in-class while the theory part will consist of videos made available on the course's Moodle website.
The course will discuss the theory and practice of approximation of functions and data, in both the univariate and multivariate setting, with an emphasis on splines of various types and interpolation. A part of the course will be held in a Laboratory setting where some of the techniques presented during the lectures will be implemented in Matlab. At the end of the course the student is expected to able to demonstrate an in-depth knowledge of the techniques of univariate and multivariate approximation.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| C. de Boor | A Practical Guide to Splines (Edizione 1) | Springer | 1978 | ||
| L. Bos | Course Notes | 2017 |
Examination Methods
The purpose of the exam is to see if the student is able to recall and reproduce the theory and practice of interpolation and approximation, both univariate and multivariate. The exam will be oral.
Due to the present pandemic situation it may be that the exam rules will be adjusted to the situation at hand.
For the academic year 2020/21 students are guaranteed the option of an exam held via internet.
