Courses
Master
2024/2025
Introduction to Machine Learning
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Faculty of Physics
Where:
Faculty of Physics
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Sapiyat Dzhanibekova
Language:
Russian
ECTS credits:
3
Master
2024/2025
Introduction to Machine Learning
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Faculty of Physics
Where:
Faculty of Physics
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Sapiyat Dzhanibekova
Language:
Russian
ECTS credits:
3
Master
2024/2025
Introduction to Machine Learning
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Faculty of Physics
Where:
Faculty of Physics
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Sapiyat Dzhanibekova
Language:
Russian
ECTS credits:
3
Master
2024/2025
Introduction to Machine Learning
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Faculty of Physics
Where:
Faculty of Physics
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Sapiyat Dzhanibekova
Language:
Russian
ECTS credits:
3
Master
2024/2025
Introduction to Machine Learning
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Faculty of Physics
Where:
Faculty of Physics
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Sapiyat Dzhanibekova
Language:
Russian
ECTS credits:
3
Master
2024/2025
Introduction to Machine Learning
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Faculty of Physics
Where:
Faculty of Physics
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Instructors:
Sapiyat Dzhanibekova
Language:
Russian
ECTS credits:
3
2024/2025
Introduction to Machine Learning
Type:
Mago-Lego
Delivered by:
Faculty of Physics
When:
1 module
Online hours:
20
Open to:
students of one campus
Instructors:
Sapiyat Dzhanibekova
Language:
Russian
ECTS credits:
3
2024/2025
Introduction to Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Master
2024/2025
Introduction to Machine Learning
Type:
Compulsory course (Big Data Analytics)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Bachelor
2024/2025
Introduction to Macroeconomics
Type:
Compulsory course (International Programme in Economics and Finance)
Area of studies:
Economics
Delivered by:
International College of Economics and Finance
When:
1 year, 2 semester
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Nataliya Alexandrovna Sapunkova
Language:
English
ECTS credits:
6
2024/2025
Introduction to Management Consulting
Type:
Optional course
Delivered by:
Joint Department with Yakov & Partners
When:
1, 2 module
Open to:
students of all HSE University campuses
Instructors:
Коробкин Алексей Михайлович
Language:
English
ECTS credits:
6
Bachelor
2024/2025
Introduction to manuscript studies
Type:
Compulsory course (Ethiopia and the Arab World)
Area of studies:
Asian and African Studies
Delivered by:
Institute for Oriental and Classical Studies
Where:
Faculty of Humanities
When:
5 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Iosif Fridman
Language:
Russian
ECTS credits:
4
Bachelor
2024/2025
Introduction to Marketing Analytics
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
4 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Bachelor
2024/2025
Introduction to Marketing Analytics
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
3 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
2024/2025
Introduction to Marketing Management
Type:
Mago-Lego
Delivered by:
Department of Marketing
When:
1 module
Open to:
students of one campus
Instructors:
Andrei Starkov
Language:
Russian
ECTS credits:
3
Master
2024/2025
Introduction to Marketing Management
Type:
Compulsory course (Marketing Management)
Area of studies:
Management
Delivered by:
Department of Marketing
Where:
Graduate School of Business
When:
1 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Andrei Starkov
Language:
Russian
ECTS credits:
3
Bachelor
2024/2025
Introduction to Materials Science
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Joint Department of Condensed Matter Physics with the Institute of Solid State Physics (RAS)
Where:
Faculty of Physics
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Гнесин Иван Борисович
Language:
Russian
ECTS credits:
5
Bachelor
2024/2025
Introduction to Measure Theory
Type:
Compulsory course (Joint Bachelor's Programme with the Centre for Teaching Excellence)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
2024/2025
Introduction to Medical Anthropology in Development
Type:
Mago-Lego
Delivered by:
Department of Demography
When:
2 module
Open to:
everyone
Instructors:
Ilya Ermolin
Language:
English
ECTS credits:
3
Master
2024/2025
Introduction to Medical Anthropology in Development
Type:
Compulsory course (Population and Development)
Area of studies:
Public Administration
Delivered by:
Department of Demography
Where:
Faculty of Social Sciences
When:
2 year, 2 module
Mode of studies:
offline
Open to:
everyone
Instructors:
Ilya Ermolin
Language:
English
ECTS credits:
3