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Courses

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, Evgeny Sokolov, Korney Tomashchuk, 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, Evgeny Sokolov, Korney Tomashchuk, 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
Instructors: Nikita Morozov
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
Instructors: Nikita Morozov
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
Instructors: Nikita Morozov
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
Instructors: Nikita Morozov
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
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
Language: Russian
ECTS credits: 6
2024/2025

Machine Learning: Additional Chapters

Type: Mago-Lego
Delivered by: Department of Theoretical Economics
When: 4 module
Open to: students of all HSE University campuses
Language: English
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
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