Information sheet ECTS Syllabus
Course syllabus B-MASTA - Mathematical statistics (FEEIT - WS 2019/2020)
|University:||Slovak University of Technology in Bratislava|
|Faculty:||Faculty of Electrical Engineering and Information Technology|
Course unit code:
Course unit title:
|Mode of delivery, planned learning activities and teaching methods:|
Applied Informatics - bachelor (compulsory), 3. semester
|Level of study:|
|Prerequisites for registration:|
passed Mathematics 2 (B-MAT2I)
During the semester - 30 points (30 credit tests)
The necessary credit - 15 points.
After the end of the semester - exam (70 points)
Result: The sum of the points of the semester tests, specified tasks and exams.
A final assessment by the study of procedure STU.
|Learning outcomes of the course unit:|
|To present the first exposure to statistical methods and data analysis. To understand the importance of a test of the general linear hypothesis in linear model.|
|Random events, probability measure. Conditional probebility, Bayes' theorem. Random variable, probability distribution, distribution function and density function. Characteristics of random variables
Probability distribution -- discrete (discrete uniform, binomial,geometric, Poisson) and
continuos (unirofm, normal exponecial, Chi-squared distribution, Student's distribution, F-distribution. Limits Theorems. Random vector. Independence of random variables, joint distribution, covariance and correlation matrix
Descriptive statistics. Random choice and estimation of mean and variance. Confidence intervals. A statistical hypothesis test. Some parametric and nonparametric tests, good-fit tests.
|Recommended or required reading:|
Language of instruction:
slovak or english
|Assessed students in total: 163|
Name of lecturer(s):
6. 5. 2019
|Supervisor:||doc. RNDr. Oľga Nánásiová, PhD. and programme supervisor|
Last modification made by RNDr. Marian Puškár on 05/06/2019.