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Mathematical methods of computer data processing

Summary

347/5000
Objective of the course in terms of learning outcomes and competences The course is focused on acquiring a basic set of knowledge about the principles of mathematical methods of computer data processing in the solution of engineering calculations. Emphasis is placed on gaining practical experience with the use of the discussed methods, estimation of the errors of the result and demonstration of their properties in solving engineering problems using the Matlab program.

Literature

MOLER, C. B. Numerical Computing with Matlab. Philadelphia: Society for Industrial and Applied Mathematics, 2004. ISBN: 978-0898715606 
CHAPRA, S. C. Applied Numerical Methods W/MATLAB: for Engineers & Scientists. Columbus: McGraw-Hill Education; 2011. ISBN: 978-0073401102
DASGUPTA, S. , CH. H. PAPADIMITRIOU a U. VAZIRANI. Algorithms. Columbus: McGraw-Hill Education; 2006. ISBN: 978-0073523408
ALFIO, Q. Scientific Computing with MATLAB and Octave. Berlin: Springer, 2014. ISBN: 978-3642124297.
LEADER, J. J. Numerical Analysis and Scientific Computation. London: Pearson. 2004. ISBN: 978-0201734997 .

Advised literature

KIUSALAAS, J. Numerical Methods in Engineering with MATLAB. Cambridge: Cambridge University Press, 2015. ISBN: 9781107120570 .
CHARTIER, T. P. a A. GREENBAUM. Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms. Princeton :Princeton University Press. 2012. ISBN: 978-0691151229 .
WITTEN, I. H., E. FRANK a M. A. HALL. Data Mining: Practical Machine Learning Tools and Techniques: Practical Machine Learning Tools and Techniques. Elsevier, 2011. ISBN 0080890369 .
TAN, P. N. Introduction To Data Mining. Pearson Education, 2007. ISBN 8131714721 .


Language of instruction čeština, čeština
Code 638-3015
Abbreviation MMPZD
Course title Mathematical methods of computer data processing
Coordinating department Department of Automation and Computing in Industry
Course coordinator doc. Ing. Jiří David, Ph.D.