NETB133 Самостоятелна работа: Линейна алгебра

Анотация:

The aim is to provide the students with materials for self-standing work in the field of Linear Algebra.

Assignments are regularly given to the students so that they can train and master the skills necessary to solve problems from Linear Algebra

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Мрежови технологии (на английски език)

Преподавател(и):

проф. Иван Ланджев  д.н.

Описание на курса:

Компетенции:

Students will learn:

How to apply Gaussian elimination for solving homogeneous and non-homogeneous linear systems of equations;

How to present in different forms the general solution of a system of linear equations;

To give geometrical interpretation of the set of all solutions to a system of equations;

To work with matrices, to represent a matrix as a product of a lower-triangular and upper-triangular matrix;

To calculate the inverse of a given matrix;

To find the Rank of a matrix, the dimension of a given vector space and to provide a basis for it;

To calculate determinants;

To find Eigen-Values and Eigen-Vectors of square matrices.


Предварителни изисквания:

Elementary mathematics (school level);

Desire for self-standing work on Home-works and Assignments given during classes.



Форми на провеждане:
Редовен

Учебни форми:
Самостоятелна работа

Език, на който се води курса:
Английски

Теми, които се разглеждат в курса:

The assignments given to students cover (and are related to) the topics considered in NETB103 Linear Algebra:

Solving systems of linear equations (homogeneous and non-homogeneous) by Gaussian Elimination;

Representing in different forms the general solution of a system of linear equations;

Vectors and matrices; Product of matrix and a vector, product of two matrices; Representation of Gaussian elimination steps as a sequence of multiplication of a matrix by elementary matrices; Permutations of matrix rows as multiplication of matrices; Representation of a matrix as a product of two matrices: a lower-triangular one and an upper-triangular one;

Methods for calculation of Inverse matrices;

Rang of a matrix; Dimension and basis of a vector space;

Vector spaces generated by a matrix;

Scalar (inner) product of two vectors;

Orthogonality of vectors and subspaces;

Determinants and their applications;

Eigen-Values and Eigen-Vectors of square matrices.

Литература по темите:

Any of the numerous text-books on Linear Algebra and its applications could be of help.

Preferred book:

Gilbert Strang, "Linear Algebra and itsw Applications",

Brooks/Cole, Third Edition,

ISBN 0-15-551005-3

Средства за оценяване:

The final mark (from 2 to 6) takes into account:

The quality and the number of solved Assignments as well as

the regularity of their presentation to the teacher;

The marks from the two written Control works during the term;

The mark from the written Final Exam at the end of the term