Oct 18, 2019   10:21 a.m. Lukáš
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Course syllabus I1-MSTA - Statistics (FCE - WS 2019/2020)


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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Civil Engineering
Course unit code: I1-MSTA
Course unit title: Statistics
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
seminar1 hour weekly (on-site method)

 
Credits allocated: 3
 
Recommended semester/trimester: Building Technology - master (semi-compulsory), 1. semester
Level of study: 2.
Prerequisites for registration: none
 
Assesment methods:
Project evaluated by at least 35 points; obtain at least 56 points from exam and project
 
Learning outcomes of the course unit:
Probability theory and mathematical statistics play an important role in decision processes in engineering applications. This subject brings to students the knowledge about the basics of the probability theory and mathematical statistics, but also it brings the skills when applying basic probabilistic and statistical procedures available in accessible software tools in practical applications.
 
Course contents:
- probability, conditional probability, independence and the Bayes theorem
- random variable (discrete, continuous), transformation of random variable, probabilistic distributions (binomial, hypergeometric, Poisson, uniform, normal, exponential and related distributions)
- introduction to the mathematical statistics; descriptive statistics, graphical processing of statistical samples; classification of statistical data; frequency table; random sample and its basic properties; sample statistics (mode, median, sample average, sample standard deviation, weighted average)
- interval estimations, hypothesis testing (some parametric and non-paramteric tests, goodness of fit tests)
 
Recommended or required reading:
Basic:
ANDĚL, J. Statistické metody. Praha : Matfyzpress, 1993. 246 p.
DALLOSOVÁ, A. -- MESIAR, R. Pravdepodobnosť a matematická štatistika: Návody na cvičenia. Bratislava : SVŠT v Bratislave, 1987. 168 p.
CHAJDIAK, J. -- KOMORNÍK, J. -- KOMORNÍKOVÁ, M. Štatistické metódy. Bratislava : Statis, 1999. 282 p. ISBN 80-85659-13-1.
LIKEŠ, J. -- MACHEK, J. Matematická statistika. Praha : SNTL, 1988. 178 p.

 
Language of instruction: slovak or english
 
Notes:
 
Courses evaluation:
Assessed students in total: 1

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Name of lecturer(s): Ing. Michal Dibala (instructor)
prof. RNDr. Radko Mesiar, DrSc. (examiner, instructor, lecturer, person responsible for course) - slovak, english
 
Last modification: 28. 2. 2019
Supervisor: prof. RNDr. Radko Mesiar, DrSc. and programme supervisor


Last modification made by Ing. Peter Korčák on 02/28/2019.

Type of output: