Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea in Informatica - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2017/2018
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One course to be chosen among the following3° Year activated in the A.Y. 2018/2019
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One course to be chosen among the following| Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Linear Algebra (2016/2017)
Teaching code
4S00002
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/02 - ALGEBRA
Period
II sem. dal Mar 1, 2017 al Jun 9, 2017.
Learning outcomes
The course aims to introduce the basic techniques of linear algebra, which is a fundamental tool in most applications of mathematics: matrices, Gauss elimination, vector spaces, inner products, determinants, eigenvalues and eigenvectors.
At the end of the course, the students will be able to apply linear algebra techniques to the solution of problems about matrix decompositions, analysis of linear maps, orthogonalization and computation of eigenvalues and eigenvectors.
Knowledge and understanding: students will be able to apply linear algebra techniques to solution of problems.
Applying knowledge and understanding: students will be able to recognize applicability of linear algebra to various situations.
Making judgements: the students will be able to choose among the various techniques the one better suited to the problem at hand.
Communication skills: the students will be able to describe the solution of a problem employing correct terminology.
Learning skills: the students will be able to widen their knowledge starting from what they learned.
Program
Linear systems and matrices
Inverse matrices
Gauss elimination and LU decomposition
Vector spaces and linear maps
Bases and matrix representation of linear maps
Inner products and Gram-Schmidt algorithm
Determinants
Eigenvalues and eigenvectors, diagonalization of matrices
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| E. Gregorio, L. Salce | Algebra Lineare | Libreria Progetto Padova | 2005 |
Examination Methods
The written exam consists in discussing a topic from a theoretical point of view and in solving some exercises on the topics of the course.
The complete solution of the exercises leads to a grade not higher than 21/30.
