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Course Syllabus

Course Syllabus


 

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Master 2024/2025

Additional Topics in Probability Theory

Type: Compulsory course (Math of Machine Learning)
Area of studies: Applied Mathematics and Informatics
Delivered by: Big Data and Information Retrieval School
Where: Faculty of Computer Science
When: 1 year, 1 module
Mode of studies: offline
Open to: students of one campus
Instructors: Vladimir V. Ulyanov, Konstantin Yakovlev
Master’s programme: Math of Machine Learning
Language: English
ECTS credits: 3

Course Syllabus

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Abstract

The course is devoted to the study of various probabilistic models related to the theory of random processes and mathematical statistics. Classical models with both discrete and continuous time will be considered, as well as their applications in mathematical statistics. Students will be required to know the basic course of probability theory and mathematical statistics (in any version).