Bachelor
2025/2026
Introduction to Machine Learning
Type:
Compulsory course (Applied Mathematics and Information Science)
Delivered by:
Department of Informatics
When:
3 year, 2 module
Open to:
students of one campus
Instructors:
Alexander Aksenov
Language:
English
ECTS credits:
3
Contact hours:
24
Course Syllabus
Abstract
The purpose of mastering the discipline is to familiarize students with the theoretical foundations and basic principles of machine learning, mastery tools, models and methods of machine learning, as well as the acquisition of skills as a data scientist and developer of mathematical models, methods and algorithms for data analysis. To master the discipline students must know linear algebra and geometry, basics of programming, differential equations and theory of probability and mathematical statistics.