Master
2022/2023
Markov Chains
Type:
Compulsory course (Math of Machine Learning)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Complex System Modelling Technologies
Where:
Faculty of Computer Science
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of one campus
Master’s programme:
Math of Machine Learning
Language:
English
ECTS credits:
6
Contact hours:
64
Course Syllabus
Abstract
The course is an introduction to the theory of Markov chains, an area of modern probability theory widely used in applications. The basic concepts and facts of the theory of Markov chains are considered. At each lesson, many examples are considered, which allows you to consolidate and use the knowledge gained.