Terminated in academic year 2020/2021

Mathematical Tools of Informatics

Type of study	Follow-up Master
Language of instruction	Czech
Code	638-0804/01
Abbreviation	MPI
Course title	Mathematical Tools of Informatics
Credits	7
Coordinating department	Department of Automation and Computing in Industry
Course coordinator	doc. Ing. Jiří David, Ph.D.

Subject syllabus

1. Errors, sources and types errors. Rounding error. Errors of method.
2. Incomplete numbers and number representation in computer. Correctitude, conditionality and stability numerical problems.
3. Optimalization problems. Classification of optimization methods.
4. Principles of basic of optimization methods. Evolutional methods.
5. Principle of genetic algorithm.
6. Fitness value. Code of strings.
7. Termination of genetic algorithm. Stagnation of genetic algorithm.
8. Selection of strings. Principles of particular method of selection.
9. Crossing. Mutation. Types of mutation
10. Variants of genetic algoritm.
11. Principle of evolutional strategy. Principle of differential evolution. Principle of SOMA. Principle of UIS.
12. Data warehouse.
13. Data mining. Data mining problems.
14. Principle of methodology CRISP- DM.
15. Data miningu methods . Principle of decision - making trees.

Literature

KIM K., MAN F., TANG K. S., KWONG S.: Genetic Algorithms.: Concepts and Designs. Springer, 1999. .
BACK T.: Evolutionary Algorithms in Theory and Practice : Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press, 1995. .
WALTER J. GRANTHAM, THOMAS L. VINCENT Modern control systems analysis and design. New York : John Wiley & Sons, Inc., 1993. ISBN 0-471-81193-9

Advised literature

YAO X.: Evolutionary Computation: Theory and Applications. World Scientific, 1999. .
WITTEN I. H., FRANK E., HALL M. A.: Data Mining: Practical Machine Learning Tools and Techniques: Practical Machine Learning Tools and Techniques. Elsevier, 2011. .
TAN P. N.: Introduction To Data Mining. Pearson Education, 2007. .

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