Gurantor department | Department of Automation and Computing in Industry | Credits | 5 |

Subject guarantor | doc. Ing. Jiří David, Ph.D. | Subject version guarantor | doc. Ing. Jiří David, Ph.D. |

Study level | undergraduate or graduate | Requirement | Compulsory |

Year | 1 | Semester | winter |

Study language | Czech | ||

Year of introduction | 2019/2020 | Year of cancellation | |

Intended for the faculties | FMT | Intended for study types | Follow-up Master |

Instruction secured by | |||
---|---|---|---|

Login | Name | Tuitor | Teacher giving lectures |

DAV47 | doc. Ing. Jiří David, Ph.D. | ||

FRI05 | doc. Ing. Robert Frischer, Ph.D. | ||

GRY0035 | Ing. Ondřej Grycz, Ph.D. |

Extent of instruction for forms of study | ||
---|---|---|

Form of study | Way of compl. | Extent |

Full-time | Credit and Examination | 2+2 |

Part-time | Credit and Examination | 16+0 |

The student will be able to interpret the concepts and principles of mathematical methods and numerical calculations using the Matlab software system in data processing in the field of engineering tasks.
He will have an overview of the methods and tools of computerized data processing in the design of materials and means for the automotive industry.
He will be able to apply selected methods and tools of computer data processing in solving practically oriented problems of practice using the Matlab environment.
It will be able to implement principles and methods in the processes and activities of industrial organizations.

Lectures

Tutorials

Project work

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.

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.

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.

Písemný test a ústní zkoušení.

Active participation in seminars, successful passing the credit test - full-time study form.
Elaboration of the seminar work on the given topic - combined form of study.
Practical solutions to the task of engineering character of numerical methods and using software system Matlab.

Subject has no prerequisities.

Subject has no co-requisities.

1. Engineering tables and calculations
2. Problems errors, compliance and stability calculations.
3. Methods for solving nonlinear equations.
4. Direct methods for solving linear equations. Eigenvalues and vectors, their numerical calculation.
5. Iterative methods for solving linear equations.
6. Approximation of functions, least squares method
7. The interpolation function
8. Increasing the accuracy of calculations extrapolating
9. Complex tasks using analytical tools
10. Numerical calculation of integrals and derivatives
11. Linear Programming
12. Nonlinear Programming
13. The step methods for solving initial value problems for ordinary differential equations. Multistep methods.
14. Ordinary Differential Equations - initial value problems and boundary value problems.
15. The system of differential equations

Task name | Type of task | Max. number of points
(act. for subtasks) | Min. number of points |
---|---|---|---|

Credit and Examination | Credit and Examination | 100 (100) | 51 |

Credit | Credit | 35 | 20 |

Examination | Examination | 65 | 16 |

Show history

Academic year | Programme | Field of study | Spec. | Zaměření | Form | Study language | Tut. centre | Year | W | S | Type of duty | |
---|---|---|---|---|---|---|---|---|---|---|---|---|

2022/2023 | (N0715A270004) Materials and technologies for the automotive industry | P | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2021/2022 | (N0715A270004) Materials and technologies for the automotive industry | P | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2020/2021 | (N0715A270004) Materials and technologies for the automotive industry | P | Czech | Ostrava | 1 | Compulsory | study plan | |||||

2019/2020 | (N0715A270004) Materials and technologies for the automotive industry | P | Czech | Ostrava | 1 | Compulsory | study plan |

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