Gurantor department | Department of Geological Engineering | Credits | 4 |

Subject guarantor | doc. RNDr. František Staněk, Ph.D. | Subject version guarantor | doc. RNDr. František Staněk, Ph.D. |

Study level | undergraduate or graduate | ||

Study language | English | ||

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

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

Instruction secured by | |||
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Login | Name | Tuitor | Teacher giving lectures |

STA22 | doc. RNDr. František Staněk, Ph.D. |

Extent of instruction for forms of study | ||
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Form of study | Way of compl. | Extent |

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

Part-time | Credit and Examination | 8+8 |

This course is dedicated to finding solutions of probabilistic and statistical problems. These problems can arise from other courses as well as from practice. The main emphasis lays in explanation of fundamental principles of probabilistic and statistical methods and of their general properties. The students learn how to decide which procedure is a suitable tool for solving a specific problem.
The first part of the course deals with basic probabilistic notions and with the way in which to understand these notions from both theoretical and practical points of view.
In the second part of the course the students learn the statistical way of thinking as a mean of understanding real-life processes. The basic methods of collecting and analysing statistical data are introduced. The students are taught how to use these general methods to solve the problems arising from other courses of their study and from practice.
The students learn how to use existing software specialized for statistical computations, too.

Lectures

Tutorials

The introductory course Applied Statistics deals with the basic problems of
probability and statistics. It gives the base for ability to describe random
processes by means of random variable and random vector. The course deals with
the basic problems of descriptive statistics, methods of statistical
inference, tests of hypotheses, analysis of variance, regression and
correlation analysis and time series analysis for one- or multi-dimensional
statistical set of data.

Briš, R.: PROBABILITY AND STATISTICS FOR ENGINEERS, Ostrava, VŠB - TU, 2011. (http://homel.vsb.cz/~bri10/)

Barnett, V.: Environmental Statistics. Methods and Applications. Wiley, 2003.
Hammer, R, Harper, D.: Paleontological Data Analysis. Malden, MA: Blackwell Pub, 2006.
Meier, P. C., Zünd, R., E.: Statistical Methods in Analytical Chemistry. Wiley, 2000.

Písemné testy.

doplnit, doplnit, doplnit, doplnit, doplnit.

Subject has no prerequisities.

Subject has no co-requisities.

Finding solutions of probabilistic and statistical problems.
Explanation of fundamental principles of probabilistic and statistical methods.
Basic probabilistic notions.
Basic methods of collecting and analysing statistical data.
Software specialized for statistical computations.

Conditions for completion are defined only for particular subject version and form of study

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