Numerical Methods in Engineering Sciences
Contact and Kiro
← email to schedule a meeting
- firstname.lastname@example.org ← email to schedule a meeting
- refreshing course:available on Kiro.
- recorder lectures from a.y. 20-21: available on Kiro.
- 3 oct 2022 - Aula B2
Numerical linear algebra, part I, introduction
- 4 oct 2022 - Aula B2
- 10 oct 2022 - Aula B2
matrices, LU factorization
- 11 oct 2022 - CANCELLED (Inaugurazione anno accademico)
- 17 oct 2022 - Aula B2
exercises on GEM
- 18 oct 2022 - Aula B2
- 24 oct 2022 - Aula B2
Numerical linear algebra, part II on iterative solvers
- 25 oct 2022 - Aula B2
Numerical linear algebra, part II,
continuation on iterative solvers
- 7 nov 2022 - Aula B2, ← by Alen Kushova
on iterative solvers
- 8 nov 2022 - Aula B2, ← by Alen Kushova
review of all Matlab codes, until now
- 14 nov 2022 - Aula B2,
Numerical linear algebra part III on eigenproblems.
- 15 nov 2022 - Aula B2,
- 21 nov 2022 - Aula B2,
- 22 nov 2022 - Aula B2,
The pagerank algorithm
- 28 nov 2022 - Aula B2,
Implementing the pagerank
algorithm and experimenting pagerank on examples
from https://snap.stanford.edu/data. The file pagerank.zip
contains two adjacency
matrices, one small and one large, to try it. The goal of this lab
is to make pagerank computationally efficient.
Here are the exercises. A
possible Matlab code: pagerank.m.
- 29 nov 2022 - Aula B2,
squares approximation. Exercises
on least-squares approximation. To solve the 2nd execise, use least_squares_data.mat
- 5 dic 2022 - Aula B2,
- 6 dic 2022 - Aula B2,
more on nonlinear equation'
solvers and related exercises;
- 12 dec 2022 - Aula B2,
Interpolation (the plot of the Runge
function is done by interpolation.m)
- 13 dec 2022 - Aula B2,
- 19 dec 2022 - NO LESSON (graduation day)
- 20 dec 2021 - Aula B2,
- 9 jan 2023 - Aula B2,
Differential Equations, part I
- 10 jan 2023 - Aula B2,
Differential Equations, part II
- 16 jan 2023 - Aula B2,
on Ordinary Differential Equations solvers
- 17 jan 2023 - Aula B2,
review of the MATLAB codes
- The exams are conducted according to UNIPV rules for the COVID-19 emergency. For exams conducted remotely see
the following guidelines.
- The exam will be written. Each student will be offered a couple of questions on subjects developed in the classes and has one hour to answer.
- There are two typologies of exam:
- Basic exam: it consists in a two questions and/or
exercises (one easy and one medium difficulty), intended to verify
the knowledge of numerical algorithms and the capability of applying them, without the need for a deep
understanding. The maximum grade is 24/30.
- Advanced exam:
it consists in a couple questions (one medium difficulty and one
theoretical-oriented), intended to verify comprehension of the
subjects and not just a mere application of ready-to-use
formulas. The answers must be articulated with a certain
mathematical precision. The maximum grade is 30/30 cum laude.
- Here are example of exams exercises: I II.
- Oral exam is not compulsory. However, students who got a positive
grade in the written part (i.e., at least 18/30) might choose to take
an oral exam. The oral exam covers the topics presented during the
lessons and the MATLAB codes developed during the lab sessions.
The oral exam can change the grade in any direction: a
poor oral part might end up in a failed exam. For students that chose
the basic written exam, the maximum grade obtainable can never exceed
- some previous written exams.