Jun 16, 2019   9:44 p.m. Blanka
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Course syllabus I1-INST - Informatics and 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-INST
Course unit title: Informatics and statistics
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
seminar2 hours weekly (on-site method)

Credits allocated: 4
Recommended semester/trimester: Hydraulic Engineering and Water Resources Management - 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:
ANDĚL, J. Statistické metody. Praha : Matfyzpress, 1993. 246 p.
CHAJDIAK, J. -- KOMORNÍK, J. -- KOMORNÍKOVÁ, M. Štatistické metódy. Bratislava : Statis, 1999. 282 p. ISBN 80-85659-13-1.
DALLOSOVÁ, A. -- MESIAR, R. Pravdepodobnosť a matematická štatistika: Návody na cvičenia. Bratislava : SVŠT v Bratislave, 1987. 168 p.
LIKEŠ, J. -- MACHEK, J. Matematická statistika. Praha : SNTL, 1988. 178 p.

Language of instruction: slovak or english
Courses evaluation:
Assessed students in total: 103

27,2 %35,0 %20,4 %13,6 %3,8 %0 %
Name of lecturer(s): Mgr. Dominika Ballová (examiner, instructor)
prof. RNDr. Martin Kalina, PhD. (examiner, instructor, lecturer)
prof. RNDr. Radko Mesiar, DrSc. (examiner, 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: