Courses
Master
2023/2024
Deep Learning
Type:
Elective course (Data Analysis in Biology and Medicine)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Aziz Temirkhanov
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2023/2024
Deep Learning
Type:
Compulsory course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
56
Master
2023/2024
Deep Learning
Type:
Compulsory course
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
Instructors:
Ildus Sadrtdinov
Language:
Russian
ECTS credits:
3
Contact hours:
16
Master
2023/2024
Deep Learning
Type:
Compulsory course (Data Analysis in Development)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
2023/2024
Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3, 4 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2023/2024
Deep Learning 1
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
48
Bachelor
2023/2024
Deep Learning 2
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Дьяконов Александр Геннадьевич,
Рубачёв Иван Викторович,
Корягин Никита Сергеевич,
Aziz Temirkhanov
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2023/2024
Deep Learning for Graph Data Analysis
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Pavel Fedorov,
Валитов Эльдар Рафекович
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2023/2024
Deep Learning for Natural Language Processing
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2023/2024
Deep Learning for Sound Processing
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2023/2024
Deep Learning Methods in Natural Sciences
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
2023/2024
Deep Vision and Graphics
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
When:
1, 2 module
Open to:
students of one campus
Instructors:
Рубачёв Иван Викторович
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2023/2024
Deep Vision and Graphics
Type:
Elective course (Modern Computer Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Рубачёв Иван Викторович
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2023/2024
Democracy and Democratization
Type:
Compulsory course (International Program 'International Relations and Global Studies')
Area of studies:
Public Policy and Social Sciences
Delivered by:
Faculty of World Economy and International Affairs
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Anastasiia Makareva
Language:
English
ECTS credits:
6
Contact hours:
82
Bachelor
2023/2024
Democracy and Democratization
Type:
Compulsory course (International Program 'International Relations and Global Studies')
Area of studies:
International Relations
Delivered by:
Faculty of World Economy and International Affairs
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Anastasiia Makareva
Language:
English
ECTS credits:
6
Contact hours:
82
2023/2024
Demographic Analysis and Forecasting
Type:
Mago-Lego
Delivered by:
Department of Statistics and Data Analysis
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
44
Master
2023/2024
Demographic Analysis and Forecasting
Type:
Elective course (Statistical Analysis in Economics)
Area of studies:
Economics
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
44
Master
2023/2024
Demographic Factors of Socio-Economic Development
Type:
Elective course (Public Administration)
Area of studies:
Public Administration
Delivered by:
Department of Demography
Where:
Faculty of Social Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Anna Alekseevna Mironova
Language:
Russian
ECTS credits:
3
Contact hours:
32
Master
2023/2024
Demographic Factors of Socio-Economic Development
Type:
Elective course (Public Administration)
Area of studies:
Public Administration
Delivered by:
Department of Demography
Where:
Faculty of Social Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Anna Alekseevna Mironova
Language:
Russian
ECTS credits:
3
Contact hours:
32
Master
2023/2024
Demographic Factors of Socio-Economic Development
Type:
Elective course (Public Administration)
Area of studies:
Public Administration
Delivered by:
Department of Demography
Where:
Faculty of Social Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Anna Alekseevna Mironova
Language:
Russian
ECTS credits:
3
Contact hours:
32