About this course
Definition of probability, random variable and its description, known distributions, random vector, function of random variable. Methods of point estimation. Testing of statistical hypothesis. Regression and correlation, linear regression, correlation coefficient, coefficient of determination, the general linear model, statistical inference in linear regression, analysis of variance, multiple regression, the use of matrices in regression.
Expected learning outcomes
To improve student's knowledge of probability and to teach and exercise students the basis algorithms for static data analysis.
Basic course of algebra and mathematical analysis.
The main goal of the subject is to teach students the analysis of a measured static data sample. To this end, the basics of statistic estimation, testing of hypotheses and regression analysis are lectured. All tasks from the theory are practicaly used on comuter in the exercises.
- Local course code11STAT-E
- Study loadECTS 4
- Contact hours per week4
- Instructorsdoc. Ing. Uglickich Evženie CSc., doc. Ing. Nagy Ivan CSc., Reznychenko Tetiana
- Mode of deliveryOnline - at a specific time
- Course coordinator
19 February 2024
Enrolment period closed
- End date22 September 2024
- Main languageEnglish
- Apply between11 Dec and 19 Jan 2024