Courses
2024/2025
Machine Learning 1
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
When:
1, 2 module
Open to:
students of one campus
Instructors:
Платонов Олег Александрович
Language:
Russian
ECTS credits:
6
2024/2025
Machine Learning 1
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Online hours:
20
Open to:
students of all HSE University campuses
Instructors:
Семерова Елена Александровна,
Якуба Прохор Олегович,
Кириллов Дмитрий Александрович,
Семерова Елена Александровна,
Konstantin Elenik,
Alexandra Kogan,
Daniil Kosakin,
Nikita Morozov,
Ilya Nikitin,
Evgeny Sokolov,
Korney Tomashchuk,
Filipp Ulyankin,
Блуменау Марк Ильич
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Machine Learning 1
Type:
Elective course (Economics)
Delivered by:
Big Data and Information Retrieval School
When:
3 year, 1, 2 module
Online hours:
20
Open to:
students of all HSE University campuses
Instructors:
Семерова Елена Александровна,
Якуба Прохор Олегович,
Кириллов Дмитрий Александрович,
Семерова Елена Александровна,
Konstantin Elenik,
Alexandra Kogan,
Daniil Kosakin,
Nikita Morozov,
Ilya Nikitin,
Evgeny Sokolov,
Korney Tomashchuk,
Filipp Ulyankin,
Блуменау Марк Ильич
Language:
Russian
Bachelor
2024/2025
Machine Learning 2
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, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Machine Learning 2
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, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Machine Learning 2
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Machine Learning 2
Type:
Compulsory course (Economics and Data Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Machine Learning 2
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:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Аршинов Григорий Евгеньевич,
Андреева Дарья Александровна,
Аршинов Григорий Евгеньевич,
Leonid Sanochkin,
Кузьмин Глеб Юрьевич
Language:
English
ECTS credits:
4
Bachelor
2024/2025
Machine 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:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Machine Learning 2
Type:
Elective course (Computational Social Sciences)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Social Sciences
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Machine Learning 2
Type:
Compulsory course (Computing and Data 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
Bachelor
2024/2025
Machine Learning 2
Type:
Compulsory 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 all HSE University campuses
Language:
Russian
ECTS credits:
6
Master
2024/2025
Machine Learning 2
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, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Платонов Олег Александрович
Language:
Russian
ECTS credits:
6
2024/2025
Machine Learning 2
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
When:
3, 4 module
Open to:
students of one campus
Instructors:
Платонов Олег Александрович
Language:
Russian
ECTS credits:
6
2024/2025
Machine Learning Advanced
Type:
Mago-Lego
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
Master
2024/2025
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3
Master
2024/2025
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3
2024/2025
Machine Learning (Advanced level)
Type:
Mago-Lego
Delivered by:
Department of Theoretical Economics
When:
4 module
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
Russian
ECTS credits:
3
Master
2024/2025
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3
Master
2024/2025
Machine Learning (Advanced level)
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Pasha Andreyanov
Language:
English
ECTS credits:
3