Linear Algebra (2018/2019)

Course code
4S00002
Name of lecturer
Enrico Gregorio
Coordinator
Enrico Gregorio
Number of ECTS credits allocated
6
Academic sector
MAT/02 - ALGEBRA
Language of instruction
Italian
Period
II semestre dal Mar 4, 2019 al Jun 14, 2019.

Lesson timetable

Go to lesson schedule

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 shall prove of being able to:
apply linear algebra techniques to the solution of problems;
to apply linear algebra techniques to solution of problems;
to recognize applicability of linear algebra to various situations even in not strictly mathematical contexts;
to choose among the various techniques the one better suited to the problem at hand;
to describe the solution of a problem employing correct terminology;
to widen their knowledge starting from what they learned.

Syllabus

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

Reference books
Author Title Publisher Year ISBN Note
E. Gregorio, L. Salce Algebra Lineare Libreria Progetto Padova 2005

Assessment methods and criteria

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.

Evaluation criteria:

• Knowledge and understanding: comprehension of the text of the problems and mastering of the theory behind them.

• Applying knowledge and understanding: ability to apply the general techniques to a specific problem

• Making judgements: ability to express the learned theoretical concepts in varied situations

• Communication skills: language clarity and appropriateness

• Learning skills: ability to structure a proof different from those presented during the course

STUDENT MODULE EVALUATION - 2017/2018