Mathematical Tools of Informatics

Mathematical Tools of Informatics
638-3001/02
angličtina Mathematical Tools of Informatics
638-3001/01
čeština Mathematical Tools of Informatics
638-3001/03
čeština

Summary

Subjekt put mind to the questions solution numerical problems. Students do one's homework the to determine a mine of errors and errors type at the numerical computing, to principles the modern optimization methods and determine a procedure solution with utilization the Genetic Algorithms and the Evolutional Algorithms and get an overview of the basic principles of the datamining metods and of the basic acquirements at solution numerical problems with utilization the Matlab and with utilization the Matlab Toolbox Genetic Algorithm.

Literature

WITTEN I. H., E. FRANK and M.A. HALL. Data Mining: Practical Machine Learning Tools and Techniques: Practical Machine Learning Tools and Techniques. Elsevier, 2011. .
KIM, K. et. al. Genetic Algorithms.: Concepts and Designs. London: Springer, 1999. .
TAN P. N.: Introduction To Data Mining. Pearson Education, 2007. .
BACK, T. Evolutionary Algorithms in Theory and Practice : Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford: Oxford University Press, 1995. .

Doporučená literatura

KIUSALAAS, J. Numerical Methods in Engineering with MATLAB. Cambridge: Cambridge University Press, 2015. .
CHARTIER, T. P. and A. GREENBAUM. Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms. Princeton :Princeton University Press. 2012. .
WALTER J. G. and T. L. VINCENT Modern control systems analysis and design. New York : John Wiley & Sons, Inc., 1993. ISBN 0-471-81193-9.

YAO, X. Evolutionary Computation: Theory and Applications. World Scientific, 1999. .

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Language of instruction	angličtina, čeština, čeština
Code	638-3001
Abbreviation	MPI
Course title	Mathematical Tools of Informatics
Coordinating department	Department of Automation and Computing in Industry
Course coordinator	doc. Ing. Jiří David, Ph.D.