| CODE | 66454 |
|---|---|
| ACADEMIC YEAR | 2021/2022 |
| CREDITS |
|
| SCIENTIFIC DISCIPLINARY SECTOR | MAT/08 |
| LANGUAGE | Italian |
| TEACHING LOCATION |
|
| SEMESTER | 2° Semester |
| TEACHING MATERIALS | AULAWEB |
The course deals with basic topics of Numerical Analysis, with particular attention to the study of error, linear algebra and the solution of ordinary differential equations. The theoretical topics are completed by laboratory experiences, using MatLab software. Using the "peer evaluation" technique (through workshops on Aulaweb) students evaluate some works produced during the laboratory experiences. The lessons are held in Italian.
Language: Italian.
The course aims to offer the mathematical and methodological notions that are the basis of the techniques of scientific calculus. An integral part of the course is to consider the laboratory exercises where the student experiences and verifies the theory presented in the theoretical part.
The learning outcomes consist in creating a more applicative mathematical point of view, aimed at solving problems deriving from the observation of the real world, with particular attention to the problems related to the treatment of data disturbed by error and to the analysis of methods for computing the solutions.
At the end of the course, the student should be able to deal with experimental data affected by error and to interpret the elaborations of a computer starting from such data. Moreover the student should know the tools that allow to evaluate the efficiency and stability of the numerical methods for solving some mathematical problems, such as the solution of linear systems, the computation of the eigenvalues of a matrix and the solutions of ordinary differential equations.
Knowledge of basic concepts of analysis, such as continuity and derivability of the functions, Taylor development, ordinary differential equations, and linear algebra, such as matrices, vectors, linear systems.
Furthermore, knowledge of the MatLab software is required
Theoretical lessons: 6 CFU (48 hours, II semester). In presence in the classroom. However, should the health emergency continue, to safeguard everyone's health and safety, the theoretical lessons will be delivered online on the Teams platform. In this case, the lessons, delivered synchronously (live), are also recorded in such a way that each student can relate to the lessons, whenever he deems it appropriate. The slides used are published, at the end of each lesson, on Aulaweb.
In any case, innovative teaching methods are used such as:
quiz on aulaweb
glossary on aulaweb
which allow a better understanding of the course.
Laboratory exercises. 2 CFU (24 hours), the attendance of which is compulsory for 80% of the lessons (apart from exceptional cases of working students). In presence in the PC laboratory. However, if the health emergency continues, to safeguard everyone's health and safety, the lessons will be delivered online on the Teams platform.
The exercices produced during these exercises will be subjected to "peer evaluation".
Error theory. Solution of linear systems: conditioning, Gauss' method and pivoting, matrix factorization: LU and Cholsky; applications. Eigenvalues: power method and extensions, similarity transformations, Householder transformation; QR factorization; QR method. Approximation of functions: discrete least-squares: solution by means of normal equations. Singular Value Decomposition and application to the least-squaresproblem. Numerical solution of differential equations by means one step and multistep methods.
Laboratory: some exercises are proposed on topics addressed by the teacher in class to be carried out to groups of students, using the Matlab software. For each sheet, the writing of a report is required, corrected through the Peer review.
Lecture notes, written by Fassino and Piana, available on AulaWeb.
Book: Bini, Capovani, Menchi: “Metodi Numerici per l’Algebra Lineare". Ed. Zanichelli
Office hours: By appointment by sending an email to fassino at dima.unige.it
CLAUDIA FASSINO (President)
FABIO DI BENEDETTO
MICHELE PIANA (President Substitute)
The class will start according to the academic calendar.
Laboratory: The laboratory part is evaluated on the basis of the "peer evaluation" of the works and of the final reports. Quizzes: Solution of quizzes on Aulaweb. This test provides the suitability to take the oral exam. Oral exam: consisting in the discussion of the theoretical results presented in class.
The final grade consists in the grade of the oral exam plus a bonus due to the laboratory part.
The discussion of the laboratory exercises allows to evaluate the students' ability to work in groups, to implement the methods presented during the theoretical lessons and to interpret the results provided by the computer. The oral exam will allow to verify the understanding of the theoretical concepts of applied mathematics, through questions aimed to analyze the ability to manage the various topics.
| Date | Time | Location | Type | Notes |
|---|---|---|---|---|
| 24/01/2022 | 09:00 | GENOVA | Scritto | Appello riservato agli studenti che hanno frequentato l'insegnamento nell'a.a.2020/21 o a.a. precedenti |
| 17/02/2022 | 09:00 | GENOVA | Scritto | Appello riservato agli studenti che hanno frequentato l'insegnamento nell'a.a.2020/21 o a.a. precedenti |
| 15/06/2022 | 09:00 | GENOVA | Scritto | |
| 15/07/2022 | 09:00 | GENOVA | Scritto | |
| 15/09/2022 | 09:00 | GENOVA | Scritto | ATTENZIONE: per impegni lavorativi precedentemente fissati da un membro della commissione, l'appello viene posticipato al 19 settembre 2022, ore 9. Se qualche studente intende sostenere un esame del II anno fissato in tale data, mi contatti via email. |
Prerequisites: Notions of Analysis (functions, derivatives and hints on differential equations) and of Linear Algebra (matrices, vectors, linear systems). The use of the MatLab software. Lesson attendance: recommended for the theoretical lessons in the classroom and mandatory for laboratory lessons (unless documentation proving the impossibility to attend) Registration for the exams: online