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## Subject: GEOMETRY AND LINEAR ALGEBRA (A.A. 2018/2019)

### degree course in AUTOMOTIVE ENGINEERING

Course year 1 6 Unit geometria e algebra lineare Mathematics, Information Technology and Statistics (lesson) TAF: Basic compulsory subjects SSD: MAT/03 CFU: 6 Mathematics, Information Technology and Statistics (exercise) TAF: Basic compulsory subjects SSD: MAT/03 CFU: 0 Teachers: Giuliana D'ERCOLE, Fulvia SPAGGIARI OFA - Obblighi formativi aggiuntivi written final vote Italiano

### Overview

To introduce the concepts and the basic structures of linear algebra and of Euclidean geometry of dimension two and three, in relation with their use in other courses.

Is required to pass a test on basic skills in mathematics

### Course contents

Fundamental algebraic structures: groups and fields.
Vector spaces and subspaces. Fundamental models. Intersection of subspaces. Systems of generators. Linear dependence and independence of vectors. Bases and dimension of a vectorial space.
Matrices. Matrix operations. Special matrices. Determinant of a matrix. Properties of the determinant and methods for computing the determinant. The inverse of a matrix.
Linear transformations and their properties. The matrix of a linear transformation. Rank of a matrix. Algorithms for computing the rank of a matrix.
Systems of linear equations. Cramer linear systems. Algorithms for the resolution of linear systems. Similar matrices. Diagonalizable matrices. Eigenvectors, eigenvalues and eigenspaces.
Inner product. The length of a vector. Angle between two vectors. Orthogonal vectors. Orthonormal bases. Gram-Schmidt method. Orthogonal complement of a vectorial Euclidean subspace. Outer product.
The real Euclidean plane. Parametric and cartesian representations of a line of the Euclidean plane. Reciprocal position of lines. Parallelism and orthogonality of lines. Euclidean distance. Angles between lines. Areas.
The real three-dimensional Euclidean space. Parametric and cartesian representations of Lines and planes. Reciprocal positions of lines, planes, line and plane. Parallelism and orthogonality of lines, planes, between line and plane. Distances. Volumes.

### Teaching methods

The teaching is based on lectures supplemented by exercise activities in the classroom. A teaching support after hours of lessons, based on exercises and mainly aimed at preparing for the written test, is proposed

### Assessment methods

The exam consists of a written test and an oral test. The written exam is a multiple choice test of numerical exercises and theory questions. The interview focuses on theoretical arguments of the program and is designed to test the level of knowledge and understanding of the topics of the program, the ability to use mathematical language and to apply correctly the hypothetical deductive method.

### Learning outcomes

Through lectures and individual study, knowledge and understanding of: elementary algebraic structures, vector spaces, matrices and their properties, linear applications and their properties, algorithms for solving linear systems, conditions of diagonalizability of a matrix, scalar and vector product, Euclidean spaces and the notions of parallelism, orthogonality and Euclidean distance between subspaces (with particular reference to the Euclidean plane and the Euclidean space of dimension three).
Through classroom exercises, the support activities and individual work, ability to:
determine basis and dimension of a vector space,
determine kernel and image of a linear transformation, checking injectivity and / or surjectivity
and represent a transformation by a matrix,
calculate the determinant and the rank of a matrix,
discuss and solve linear systems,
calculate the eigenvalues and discuss diagonalizability of a matrix,
construct orthonormal bases in a Euclidean vector space,
determine the orthogonal complement of a Euclidean subspace,
represent by cartesian and parametric equations Euclidean subspaces,
determine the relative position between Euclidean subspaces and calculate the distance,
calculate areas and volumes in the Euclidean space,
solve simple problems of Euclidean geometry.

Attitude towards a methodological approach that leads to verify the claims through rigorous arguments and methods presented.
Ability to self-assessment of their skills and abilities.

Ability to deal with accurately and coherent a dialectic, arguing with precision

Acquisition of mathematical knowledge as its assets, that can use at any time of the cultural path
Attitude towards a methodological approach that leads to an improvement in the method of study and in the learning ability.