Gurantor department | Department of Quality Management | Credits | 6 |

Subject guarantor | prof. RNDr. Josef Tošenovský, CSc. | Subject version guarantor | prof. RNDr. Josef Tošenovský, CSc. |

Study level | undergraduate or graduate | Requirement | Compulsory |

Year | 2 | Semester | winter |

Study language | Czech | ||

Year of introduction | 1999/2000 | Year of cancellation | 2010/2011 |

Intended for the faculties | FMT | Intended for study types | Bachelor |

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

Login | Name | Tuitor | Teacher giving lectures |

HAL37 | Ing. Mgr. Petra Halfarová, Ph.D. | ||

TOS40 | prof. RNDr. Josef Tošenovský, CSc. |

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

Form of study | Way of compl. | Extent |

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

Combined | Credit and Examination | 18+0 |

1) Knowledge of elementary terms of the probability theory: random variable, random vector, random variable function
2) Understanding of properties of elementary terms and their relations
3) Creating theoretical foundation for subsequent school subjects

Lectures

Seminars

Tutorials

Project work

The explanation of basic terms and methods needed when analysing experimental
data and consequential subjects (mathematical statistics, econometrics, time
series, design of experiments) and some other special methods of quality
control.
The main chapters are: random variable, random vector and function of
random variable.
The explanation is aimed at the description and qualities of
basic terms and the possibilities of their application.

1. PARZEN,E.: Modern Probability Theory and Its Applications. NY, J.Wiley, 1960.

1. Montgomery, D. C.: Applied Statistics and Probability for Engineers. NY, Wiley, 2010. ISBN: 978-0-470-50578-6
2. Schwarzlander, H., Probability Concepts and Theory for Engineers. NY, Wiley, 2010. ISBN: 978-0-470-74855-8

Test
Essay

www of FMMI

None

Subject has no prerequisities.

Subject has no co-requisities.

1. Conditional event algebra
2. Probability
3. Discrete and Continuous Random Variables
4. Cumulative Distribution Function
5. Discrete and Continuous Uniform Distribution
6. Binomial Distribution
7. Normal Distribution
8. Multiple Disrete and Continuous Random Variable
9. Bivariate Normal Distribution
10. Functions of Random Variables
11. Mean and Variance of Continuous and Discrete Random Variable

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

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

Exercises evaluation | Credit | 40 (40) | 20 |

Project | Project | 40 | 20 |

Examination | Examination | 60 (60) | 31 |

Written examination | Written examination | 60 | 31 |

Show history

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

2005/2006 | (B3922) Economics and Management of Industrial Systems | (3902R041) Quality Management | P | Czech | Ostrava | 2 | Compulsory | study plan | |||

2005/2006 | (B3922) Economics and Management of Industrial Systems | (3902R041) Quality Management | K | Czech | Ostrava | 2 | Compulsory | study plan | |||

2005/2006 | (B3922) Economics and Management of Industrial Systems | (3902R041) Quality Management | K | Czech | Třinec | 2 | Compulsory | study plan |

Block name | Academic year | Form of study | Study language | Year | W | S | Type of block | Block owner |
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