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CODE 56716
ACADEMIC YEAR 2024/2025
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR MAT/03
LANGUAGE Italian
TEACHING LOCATION
  • GENOVA
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

The course is aimed at providing the basic concepts and tools of linear algebra and analytic geometry. It is a first semester course of the first year which introduces concepts that will be used in many subsequent courses.

AIMS AND CONTENT

LEARNING OUTCOMES

The teaching unit is aimed at providing the basic concepts and tools of linear algebra and analytic geometry. It is a first semester course of the first year which introduces concepts that will be used in many subsequent courses.

AIMS AND LEARNING OUTCOMES

The main goal of the course is to provide basic concepts of linear algebra and geometry, aiming at the development of a scientific approach to these topics and of the necessary tools to solve problems. Students are expected to gain the skills of understanding the text of a problem, look for solutions by means of the appropriate tools among the ones introduced in the course, solve the problem using appropriate arguments and express the results and conclusion in a clear and precise way.

PREREQUISITES

Basic knowledge of arithmetics, algebra, analysis, trigonometry and set theory.

TEACHING METHODS

Lectures will be devoted to developing the theoretic part of the course, as well as to solving problems aimed to a better understanding of the theory. There will be additional hours  devoted to discussion of exercises suggested by the lecturer.

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the professor of the course and with Professor Federico Scarpa (federico.scarpa@unige.it), the Polytechnic School's disability liaison.

SYLLABUS/CONTENT

Basics on sets and functions. Complex numbers and polynomials. Systems of linear equations and Gauss' algorithm. Matrices, determinant and rank. Cartesian system of coordinates, points, lines and planes: cartesian and parametric equations, angles, distance, orthogonal projections. Free and applied vectors, their geometrical representation, scalar/cross product, their basic geometric properties and their significance. Vector spaces, subspaces, basis and dimension. Linear operators and the associated matrices (translations and rotations along the axis), base change (orthonormal). Eigenvalues, eigenvectors and diagonalization of matrices (symmetric and orthogonal) and their geometric significance. Quadratic forms, circles, spheres and conics.

RECOMMENDED READING/BIBLIOGRAPHY

  • A. Bernardi, A. Gimigliano: Algebra Lineare e Geometria Analitica, Città Studi Edizioni
  • E. Sernesi: Geometria vol. 1, Bollati-Boringhieri
  • D. Gallarati: Appunti di Geometria, Di Stefano Editore-Genova
  • M.R. Casali, C. Gagliardi, L. Grasselli: Geometria, Società Editrice Esculapio
  • F. Odetti, M. Raimondo: Elementi di Algebra Lineare e Geometria Analitica, ECIG Universitas
  • M. Abate: Algebra Lineare, McGraw-Hill
  • L. Robbiano: Algebra lineare per tutti, Springer
  • F. Bottacin: Esercizi di algebra lineare e geometria, Società Editrice Esculapio
  • V. Bertella, A. Damiano: Esercizi su spazi vettoriali e applicazioni lineari, Società Editrice Esculapio
  • L. Mauri, E. Schlesinger: Esercizi di algebra lineare e geometria, Zanichelli

Material provided by the lecturer, available on the AulaWeb webpage of the course.

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

In accordance with the manifesto. All class schedules are posted on the EasyAcademy portal.

 

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Written test consisting of some exercises to be solved of the type seen during the course and possible oral test. Details will be communicated on Aulaweb.

ASSESSMENT METHODS

The written exam is intended to verify the student's capacity to solve problems, apply the main algorithms in the course, and show a good understanding of the main theoretical concepts developed during the semester, such as main theorems and definitions. The oral exam aims to verify the student's understanding of the basic concepts, definitions, and properties, seen during the course.