Courses
Bachelor
2023/2024
Machine Learning
Type:
Compulsory course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 2 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
40
2023/2024
Machine Learning
Type:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
Online hours:
50
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
42
Master
2023/2024
Machine Learning
Type:
Compulsory course (Applied Politics)
Area of studies:
Political Science
Delivered by:
School of Politics and Governance
Where:
Faculty of Social Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
Bachelor
2023/2024
Machine Learning
Type:
Compulsory course (Information and Communication Technologies and Systems)
Area of studies:
Infocommunication Technologies and Systems
Delivered by:
School of Electronic Engineering
When:
4 year, 2, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Sergey Vartanov
Language:
English
ECTS credits:
4
Contact hours:
48
2023/2024
Machine Learning
Type:
Mago-Lego
Delivered by:
School of Politics and Governance
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
Postgraduate course
2023/2024
Machine Learning
Type:
Elective course
Area of studies:
Postgraduate Studies
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
1 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Attila Kertesz-Farkas
Language:
English
ECTS credits:
4
Contact hours:
36
Postgraduate course
2023/2024
Machine Learning
Type:
Elective course
Area of studies:
Postgraduate Studies
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
1 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Attila Kertesz-Farkas
Language:
English
ECTS credits:
4
Contact hours:
36
Bachelor
2023/2024
Machine Learning 1
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, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2023/2024
Machine Learning 1
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, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2023/2024
Machine Learning 1
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
3 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Instructors:
Иванов Семен Вадимович,
Mikhail Baranov,
Konstantin Elenik,
Alexandra Kogan,
Daniil Kosakin,
Nikita Morozov,
Aleksandr Orlov,
Alexandra Senderovich,
Evgeny Sokolov,
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2023/2024
Machine Learning 1
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, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2023/2024
Machine Learning 1
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, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Instructors:
Иванов Семен Вадимович,
Mikhail Baranov,
Konstantin Elenik,
Alexandra Kogan,
Daniil Kosakin,
Nikita Morozov,
Aleksandr Orlov,
Alexandra Senderovich,
Evgeny Sokolov,
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2023/2024
Machine Learning 1
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, 1, 2 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Instructors:
Иванов Семен Вадимович,
Mikhail Baranov,
Konstantin Elenik,
Alexandra Kogan,
Daniil Kosakin,
Nikita Morozov,
Aleksandr Orlov,
Alexandra Senderovich,
Evgeny Sokolov,
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
56
Bachelor
2023/2024
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
Contact hours:
64
Bachelor
2023/2024
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
Contact hours:
64
Bachelor
2023/2024
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
Contact hours:
64
Bachelor
2023/2024
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 one campus
Instructors:
Абрахам Максим Абрамович,
Mikhail Baranov,
Nikita Morozov,
Evgeny Sokolov,
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2023/2024
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 one campus
Instructors:
Абрахам Максим Абрамович,
Mikhail Baranov,
Nikita Morozov,
Evgeny Sokolov,
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2023/2024
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
Language:
English
ECTS credits:
5
Contact hours:
56
Bachelor
2023/2024
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
Instructors:
Абрахам Максим Абрамович,
Mikhail Baranov,
Nikita Morozov,
Evgeny Sokolov,
Filipp Ulyankin
Language:
Russian
ECTS credits:
6
Contact hours:
80