ITA | ENG
B003273 - LINEAR ALGEBRA AND GEOMETRY
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Academic Year 2018-19
Coorte 2018 - 3-years First Cycle Degree (DM 270/04) in Electronics and Telecommunications Engineering
Course year
First year - First Semester
Belonging Department
Information Engineering (DINFO)
Modulo di sola Frequenza of
Scientific Area
MAT/03 - GEOMETRY
Credits
6
Teaching Hours
54
Teaching Term
17/09/2018 ⇒ 21/12/2018
Attendance required
No
Type of Evaluation
Giudizio Finale
Course Content
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Course program
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Lectureship
Teaching Language
Italian
Course Content
Linear algebra: vectors, matrices, vector spaces, linear maps, linear systems, eigenvalues and eigenvectors, scalar products, spectral theory in Hermitian and euclidean spaces.
Analytic gometry of the plane and of the space: Lines and planes, Conics and quadrics.
Analytic gometry of the plane and of the space: Lines and planes, Conics and quadrics.
Suggested readings (Search our library's catalogue)
-Enrico Schlesinger "Algebra Lineare e Geometria" Zanichelli
-A. Nannicini Esercizi svolti di algebra lineare vol. 1 e 2 Pitagora
-A. Nannicini L. Verdi Note ed esercizi svolti di geometria analitica Pitagora
-A. Nannicini Esercizi svolti di algebra lineare vol. 1 e 2 Pitagora
-A. Nannicini L. Verdi Note ed esercizi svolti di geometria analitica Pitagora
Learning Objectives
We aim at providing basic knowledge of linear algebra and geometry, which can be used in engineering and scientific fields.
Prerequisites
Basic concepts from secondary schools (italian system)
Teaching Methods
Lessons and exercise hours
Further information
Students are strongly advised to use the platform
e-learning moodle (unifi).
e-learning moodle (unifi).
Type of Assessment
Written and oral exams. The aim is to assess the knowledge of the basic notions as well as the ability of the student in applying these to the resolution of simple geometric problems.
Course program
Linear algebra: vectors, matrices, vector spaces, linear maps, linear systems, eigenvalues and eigenvectors, spectral theory in Hermitian and euclidean spaces.
Analytic gometry of the plane and of the space: Lines and planes, Conics and quadrics.
Analytic gometry of the plane and of the space: Lines and planes, Conics and quadrics.