[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 use numerical methods to analyse complex systems, solve non-linear equations, calculate derivatives and integrals accurately and extract important information from data using statistical methods. You will gain a better understanding of modern software tools and learn how to use them to solve engineering problems. Mathematics will cease to be just theory and become a useful tool to help you on your way to a successful career.
Literature
Advised literature
[1] VAN LOAN, C., F. Introduction to Scientific Computing: A Matrix-vector Approach Using MATLAB. New Jersey: Prentice Hall, 2000. ISBN 0-13-949157-0.
[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 .