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Course syllabus N427S4_4B - Statistics (FCFT - WS 2017/2018)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Chemical and Food Technology
Course unit code: N427S4_4B
Course unit title: Statistics
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
laboratory/construction practice2 hours weekly (on-site method)

Credits allocated: 5
Recommended semester/trimester: Automation, Information Engineering and Management in Chemistry and Food Industry - bachelor (compulsory), 3. semester
Automation, Information Engineering and Management in Chemistry and Food Industry - bachelor (compulsory), 3. semester
Level of study: 1.
Prerequisites for registration: none
Assesment methods:
Students should work out their homework and to obtain at least 56% from the test.
Learning outcomes of the course unit:
Get acquainted students with the fundamentals of statistical methods, teach them to handle univariate and multivariate datasets with the assistance of statistical software.
Course contents:
The subject is divided into two parts. In the first part, there are discussed the theoretical
foundations of applied statistics, especially probability, random variables and random vectors.
The second part is devoted to the basic statistical analysis (statistical analysis of one-dimensional data sets, statistical analysis of multidimensional data sets ). One of these analysis is theory of estimations, expressly point and interval estimations of unknown parameters in the models of direct measurements and indirect measurements. Next analysis is testing of statistical hypotheses, tangibly testing of a good concordance data sets and models, testing of expectations of the normal and exponential distributions.
Recommended or required reading:
VARGA, Š. Matematická štatistika. Bratsilava : Nakladateľstvo STU, 2012. 219 p. ISBN 978-80-227-3789-0.
VOLAUF, P. Matematická štatistika: Zbierka príkladov. Bratislava : STU v Bratislave, 2001. 166 p. ISBN 80-227-1523-9.
MONTGOMERY, D C. -- RUNGER, G C. Applied Statistics and Probability for Engineers. New York : John Wiley & Sons, 2002. 706 p. ISBN 0-471-20454-4.

VARGA, Š. -- ŠABO, M. -- POSPÍCHAL, J. Matematika III: Matematická štatistika a numerické metódy. Bratislava : STU v Bratislave FCHPT, 2003. 202 p. ISBN 80-227-1840-8.
ROUSSAS, G G. A course in mathematical statistics. San Diego : Academic Press, 1997. 572 p. ISBN 0-12-599315-3.

Language of instruction: slovak or english
Courses evaluation:
Assessed students in total: 125

24,8 %23,2 %22,4 %11,2 %17,6 %0,8 %
Name of lecturer(s): RNDr. Naďa Krivoňáková, PhD. (examiner, instructor, lecturer)
doc. RNDr. Zdenko Takáč, PhD. (examiner, instructor, lecturer, person responsible for course, tutor) - slovak, english
doc. RNDr. Štefan Varga, CSc. (examiner, instructor, lecturer) - slovak, english
Last modification: 22. 9. 2017
Supervisor: doc. RNDr. Zdenko Takáč, PhD. and programme supervisor

Last modification made by Ing. Tomáš Molnár on 09/22/2017.

Type of output: