Facoltà di Ingegneria - Guida degli insegnamenti (Syllabus)

Good knowledge of the contents of the program of mathematics of Liceo Scientifico . Complex numbers.

The course aims to provide the student with a clear understanding of the basic ideas of linear algebra and analytic geometry. On completion of the course, the student will be able to apply these tools for solving scientific and technological problems.

As part of the basic training, the course will provide the knowledge and ability to understand the basic mathematical methods (in particular, linear algebra and analytical geometry) which are essential for engineering disciplines, and will act as a hinge between high school and university teachings.

On completion of the course, students will be able to set and solve problems through deductive logic. These skills are fundamental in scientific and technological disciplines. In addition, students will improve their ability to learn and their independence of judgment, as well as their ability to communicate effectively, thanks to the specificity of the language of the basic courses.

The space of the mxn matrices: sum and product by scalars. The transpose. Square, symmetric, skew-symmetric matrices. Product of matrices. Invertible matrices. The determinant and its properties. Laplace's Theorem. Binet's Theorem. The inverse of an invertible matrix. Rank and independence of columns (rows). Gauss elimination. Linear systems. Cramer's Theorem. Rouché-Capelli Theorem. Linear systems with parameters. Ladder reduction. Vector spaces and vector subspaces. Generators of a vector space. Linear independence of vectors. Bases, coordinates, and dimension. Vector subspaces of Rn: bases, dimension, equations. Change of bases and coordinates. Grassmann Formula. Linear maps. Matrices associated with a linear map. Kernel, Image, and their dimensions. Scalar product. Cauchy-Schwarz inequality. Fourier coefficient. Orthogonal and orthonormal bases. Gram-Schmidt process. Change of orthonormal bases. Endomorphism and change of bases: similar matrices. Diagonalizable endomorphisms and diagonalizable matrices. Eigenvectors and eigenvalues. Characteristic polynomial. Algebraic and geometric multiplicity. Criteria for diagonalizability. Symmetric endomorphisms. Spectral theorem. Plane geometry: points, lines, direction vectors. Distance. Circles. Space geometry: points, planes, lines, direction vectors. Distance. Vector product.

There will be two examinations: - a written examination, consisting in solving some exercises, - an oral examination, consisting in the discussion of some of the topics (part of the exposition could be asked to be written down). In order to be admitted to the oral examination, the candidate must obtain a positive mark (18 or higher) in the written examination.

In order to pass the exam, students must show in the examinations that they have adequately understood the topics of the course and are able to apply the acquired knowledge and understanding by using properly the methods of linear algebra and analytic geometry taught during the course.

In the exams, the teacher evaluate how well the students have understood the topics of the course and are able to apply the acquired knowledge and understanding.

After the written examination, the papers are marked (a number between 0 and 30). In order to be admitted to the oral examination, the candidate must obtain a positive mark (18 or higher) in the written examination. The final grade of the exam is given after the oral examination (it takes into account both examinations). Candidates passing the exam have a final grade between 18 and 30 cum laude. A final grade of 30 cum laude is awarded to the candidates that have shown exceptional skill in both examinations.

M. Abate, C. de Fabritiis Geometria analitica con elementi di algebra lineare, II ed., McGraw-Hill. M. Abate, C. de Fabritiis Esercizi di Geometria, McGraw-Hill

- Ingegneria Biomedica (Corso di Laurea Triennale (DM 270/04))

**Università Politecnica delle Marche**

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