470-2203 – Linear Algebra with Matlab (LAM)

Gurantor department	Department of Applied Mathematics
Subject guarantor	doc. Ing. Dalibor Lukáš, Ph.D.
Study level	undergraduate or graduate

Subject version
Version code	Year of introduction	Year of cancellation	Credits
470-2203/01	2010/2011	2021/2022	6
470-2203/02	2015/2016	2020/2021	6

Subject aims expressed by acquired skills and competences

To expand the knowledge of the students using Matlab by concepts that are important in understanding of modern methods used in informatics and numerical solution of engineering problems.

Teaching methods

Lectures
Tutorials
Project work

Summary

Advanced concepts of linear algenra are key ingredients in solving of many engineering problems such as signal analysis, implemetation of search engins, optimal control or numerical solution of differential equations. In this course, the students can expand their knowledge of linear algebra using Matlab by working knowledge of concepts that are important in understanding of modern methods used in informatics and numerical solution of engineering problems with a special stress on matrix decompositions and the spectral theory.

Compulsory literature:

G. Strang, Linear Algebra and its Application, Academic Press, New York 1980. G. H. Golub, and C. van Loan, Matrix Computations, The John Hopkins University Press, London 1989. L. N. Trefethen and D. Bau, Numerical Linear Algebra, SIAM Philadelphia 1997. ISBN 0-89871-361-7.

Recommended literature:

L. N. Trefethen and D. Bau, Numerical Linear Algebra, SIAM Philadelphia 1997. ISBN 0-89871-361-7.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.