Probability
Code  Completion  Credits  Range 

11PRP  KZ  3  2+1 
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 Department of Applied Mathematics
 Synopsis:

Descriptive statistics: introduction to the basic problems of statistics, organizing data, graphical methods of data presentation, numerical presentation of data, measures of location or central tendency. Basic probability concepts: elementary events and events, definitions and interpretation of probability, axioms of probability theory, probability properties, conditional probability and independence, Bayes theorem. Random variable, probability distribution, probability mass and density, moments, some discrete and continuous distributions. Approximations of distributions, independence of variables. Random vectors: joint and marginal distributions, mean vector, covariance matrix. Mixed distributions, mixture of distributions. Law of large numbers, Central limit theorem.
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 No timetable has been prepared for this course
 The course is a part of the following study plans: