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  1. Courses

50T001 - GEOMETRIA

courses
ID:
50T001
Duration (hours):
48
CFU:
6
SSD:
Geometry
Located in:
REGGIO DI CALABRIA
Url:
Course Details:
Electronic and Biomedical Engineering/COMUNE Year: 1
Year:
2025
  • Overview
  • Syllabus
  • Degrees
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Overview

Date/time interval

Primo Ciclo Semestrale (22/09/2025 - 22/12/2025)

Syllabus

Course Objectives

Knowledge of the basic notions of linear algebra (matrices, determinants, systems of linear equations, vector spaces, linear mappings, eigenvalues and eigenvectors, matrix diagonalization, inner products, orthonormal bases). Knowledge of the tools and techniques specific to Linear Algebra. Ability to communicate the acquired knowledge through appropriate technical and scientific language.




Course Prerequisites

Equations. Inequalities. Literal calculation. Breakdowns. Factorizations of polynomials. Remarkable products. Ruffini rule. Linear systems. Elements of Analytical Geometry: straight lines and conics.



Teaching Methods

Traditional and innovative. Online teaching support platforms. Self-assessment checks.



Assessment Methods

The exam consists of a final written test and a possible oral test which can be accessed if at least a predetermined minimum score is achieved in the final written test. Passing any ongoing written tests exempts the Student from the final written test or part of it.

 

Passing the written test gives the right to take the oral exam only in the session in which the written exam was passed.

The possible topics the written exam will focus on are:

1. Vector spaces and subspaces, the 4 fundamental subspaces

2. Solving linear systems and practical applications

3. Matrix operations, inverse matrix calculation, similar matrices

4. Orthogonality: orthogonality of the four subspaces, projections in the subspaces, least squares approximation, orthogonal matrices and Gram-Schmidt procedure,

5. Linear determinants and applications (properties and applications of determinants)

6. Eigenvalues and eigenvectors (diagonalization, positive definite symmetric matrices, similarity transformations

7. Jordan's canonical form

In the written test, the critical skills achieved by the Student in framing the topics covered by the Course and the methodological rigor of the resolutions proposed in response to the questions formulated are evaluated. This test lasts a maximum of two hours. The oral test consists of an interview on the topics of the written test and

on the theoretical topics that are part of the course program. The student's ability to communicate the knowledge acquired through adequate scientific language and presentation skills is assessed.

The final grade will be attributed according to the following evaluation criterion:

30 - 30 cum laude: excellent knowledge of the topics, excellent language skills, complete and original interpretative ability, strong ability to autonomously apply knowledge to solve the proposed problems;

26 - 29: complete knowledge of the topics, good command of language, complete and effective interpretative ability, able to autonomously apply knowledge to solve the proposed problems;

24 - 25: knowledge of the topics with a good level of learning, fair command of language, correct and confident interpretative ability, ability to correctly apply most of the knowledge to solve the proposed problems;

21 - 23: adequate knowledge of the topics, but lack of mastery of the same, satisfactory language skills, correct interpretative ability, limited ability to autonomously apply knowledge to solve the proposed problems;

18 - 20: basic knowledge of the main topics and technical language, sufficient interpretative ability, ability to apply the knowledge acquired;

Insufficient: does not have acceptable knowledge of the topics covered during the course.

 



Texts

Gilbert Strang, Linear Algebra for Everyone,  Wellesley-Cambridge Press, New Edition 2020



Contents

Course Programme


1. Linear systems and matrices.

The geometry of linear equations.

Gaussian elimination.

Matrices. Matrix operations, inverse matrix calculation. Triangular factorization.

Inverse and transposed. (1 ECTS)

2. Vector spaces

Vector spaces and

subspaces.

Resolution of Ax=0 and

Ax=b.

Linear independence,

bases and dimensions.

The four fundamental

subspaces.

Linear transformations. Kernel and image of a linear transformation. (1 ECTS)

3. Orthogonality

Orthogonal vectors and subspaces.

Projections on lines.

Projections and least squares.

Orthonormal bases and Gram-Schmidt procedure (1 ECTS)

4. Determinants

Properties of the determinant

Formulas for calculating the determinant

Applications of determinants (1 ECTS)

5. Eigenvalues and eigenvectors

Diagonalization of a matrix

Similarity transformations and similar matrices (1 ECTS)

6. Positive definite matrices

Criteria for positive definite matrices

Jordan's canonical form. (1 ECTS)


Expected Learning Outcomes

With reference to the Dublin Descriptors, the student is expected to achieve the following learning outcomes:

Knowledge and understanding: after passing the exam, the student knows the basic notions of linear algebra (matrices, determinants, systems of linear equations, vector spaces, linear mappings, eigenvalues and eigenvectors, matrix diagonalization, inner products) and of analytic geometry in two and three dimensions (equations of lines and planes and the analytic study of their relative positions), and is familiar with the tools and techniques of Linear Algebra for the study of Analytic Geometry.

Applying knowledge and understanding: after passing the exam, the student is able to use the tools of linear algebra in order to formalize and solve problems related to the structural disciplines of the degree programme.

Making judgements:

To pass the exam, the student must be able to recognize the most elementary techniques of linear algebra and identify the situations and problems in which these techniques can be applied.

Communication skills:

To pass the exam, the student must be able to explain, using appropriate scientific language, the theoretical motivations underlying the calculation procedure chosen to solve an exercise, and the logical reasoning underlying the fundamental theorems of Linear Algebra.

Learning skills: after passing the exam, the student is able to independently deepen the acquired knowledge and apply it to the study of new topics in which linear algebra is used.



More information

Office hours in the studio and in the classroom. There is also the possibility of support for carrying out exercises or any explanations via email or online connection.

The MS Teams join code for the class is 9bx9tgde.

The provided teaching materials will support your study.



Degrees

Degrees

Electronic and Biomedical Engineering 
Bachelor's Degrees
3 years
No Results Found

People

People

BONANZINGA Vittoria
Settore MATH-02/B - Geometria
AREA MIN. 01 - Scienze matematiche e informatiche
Gruppo 01/MATH-02 - ALGEBRA E GEOMETRIA
Docenti di ruolo di IIa fascia
No Results Found

Other

Main module

GEOMETRY
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