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Probability theory and mathematical statistics


Study program: F2 Software Engineering

Degree: Bachelor

Type of module: lectures, practical work

Lecturer: PhD Andrii Babii

Language: English

Credit Points: 5 ECTS

Description:
This course provides an introduction to probability and statistics with applications.
Students completing this course will be able to:
- create scatter plots and histograms and make interpretations;
- do the Bayesian updating with discrete priors to get posterior distributions;
- understand the difference between probability and likelihood functions;
- construct basic estimates and predictions;
- estimate confidence intervals for regression outcome;
- compute and interpret linear regression between two variables;

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Theory of Algorithms

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