[1] QUARTERONI, S., et al. Numerical Mathematics. New York: Springer, 2007. ISBN 978-3-540-49809-4 .
[2] SÜLLI, E., et al. An Introduction to Numerical Analysis. Cambridge: Cambridge University Press, 2003. ISBN 0-521-00794.
[3] SCHREIBEROVÁ, P., MORÁVKOVÁ, Z. The Use of GeoGebra in Technical Mathematics, Ostrava, 2023. ISSN 1803-1269 .
Numerical Mathematics and Data Analysis
| Language of instruction | angličtina, čeština |
|---|---|
| Code | 310-3301 |
| Abbreviation | NMAD |
| Course title | Numerical Mathematics and Data Analysis |
| Coordinating department | Department of Mathematics and Descriptive Geometry |
| Course coordinator | prof. RNDr. Radek Kučera, Ph.D. |
Summary
Imagine mathematics as a bridge between theory and practical applications. This course will show you how numbers help solve real-world problems. You will learn to analyze complex systems using numerical methods, solve non-linear equations, accurately compute derivatives and integrals, and extract key insights from data through statistical methods. As a result, you will gain a better understanding of modern software tools and learn how to apply them to engineering tasks. The learning outcome is the ability to independently apply numerical and statistical methods to solve engineering challenges, utilize modern software tools for data analysis, and critically evaluate the obtained results. Mathematics will cease to be just a theory and will become your useful asset on the path to a successful career.
Literature
Advised literature
[1] GOLUB, G., H., VAN LOAN, C., F. Matrix Computations. 4th ed. Baltimore: Johns Hopkins University Press, 2013. ISBN 978-1-4214-0794-4.
[2] ANIRUDDHA, M. Introduction to Numerical Methods: Mathematical Techniques for Students in Engineering. University Readers, 2022. ISBN 9781793559937 .
[2] ANIRUDDHA, M. Introduction to Numerical Methods: Mathematical Techniques for Students in Engineering. University Readers, 2022. ISBN 9781793559937 .