lecturer of 2024/2025 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Brief description of the course
Basic combinatorics, random variables, probability distributions, Bayesian inference, limit theorems.
Attending lectures is a prerequisite of the learning process.
Learning outcomes in the course
Upon completing the course the student:
- knows main notions of probabilistic methods;
- is familiar with the main methods and their applications;
- is able to solve the standard exercises.