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Numerical Mathematics and Data Analysis

Numerical Mathematics and Data Analysis
310-3301/01
čeština Numerical Mathematics and Data Analysis
310-3301/02
angličtina

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

[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.

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 .


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Language of instruction čeština, angličtina
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.