Information sheet ECTS Syllabus
Course syllabus N427S4_4B - Statistics (FCFT - WS 2019/2020)
|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:|
|Recommended semester/trimester:||Automation, Information Engineering and Management in Chemistry and Food Industry - bachelor (compulsory), 3. semester|
|Level of study:||1.|
|Prerequisites for registration:||none|
|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.|
|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:|
|Language of instruction:||slovak or english|
|Assessed students in total: 125|
|Name of lecturer(s):||RNDr. Naďa Krivoňáková, PhD. (examiner, instructor, lecturer)|
doc. RNDr. Zdenko Takáč, PhD. (examiner, instructor, lecturer, person responsible for course) - slovak, english
|Last modification:||29. 1. 2019|
|Supervisor:||doc. RNDr. Zdenko Takáč, PhD. and programme supervisor|
Last modification made by Ing. Tomáš Molnár on 01/29/2019.