Courses
Bachelor
2023/2024
Low Temperature Magnetism
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Joint Department of Low Temperature Physics with the Kapitza Institute for Physical Problems (RAS)
Where:
Faculty of Physics
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexander Smirnov
Language:
Russian
ECTS credits:
3
Contact hours:
60
Bachelor
2023/2024
Low Temperature Magnetism
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Joint Department of Low Temperature Physics with the Kapitza Institute for Physical Problems (RAS)
Where:
Faculty of Physics
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexander Smirnov
Language:
Russian
ECTS credits:
3
Contact hours:
60
Bachelor
2023/2024
Low Temperature Physics
Type:
Elective course (Physics)
Area of studies:
Physics
Delivered by:
Joint Department of Low Temperature Physics with the Kapitza Institute for Physical Problems (RAS)
Where:
Faculty of Physics
When:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
9
Contact hours:
64
Master
2023/2024
Machine-dependent Сompiler Оptimizations
Type:
Elective course (System Programming)
Area of studies:
Software Engineering
Where:
Faculty of Computer Science
When:
2 year, 1 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Sergey S. Gaysaryan
Language:
Russian
ECTS credits:
3
Contact hours:
28
2023/2024
Machine-dependent Сompiler Оptimizations
Type:
Mago-Lego
When:
1 module
Open to:
students of all HSE University campuses
Instructors:
Sergey S. Gaysaryan
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2023/2024
Machine Learning
Type:
Elective course (Economics and Statistics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Корпачев Сергей Сергеевич,
Щукин Игорь Андреевич,
Alexey Boldyrev,
Alexandra Kogan,
Конюшенко Юлия Николаевна
Language:
Russian
ECTS credits:
6
Contact hours:
42
Bachelor
2023/2024
Machine Learning
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Корпачев Сергей Сергеевич,
Щукин Игорь Андреевич,
Alexey Boldyrev,
Alexandra Kogan,
Конюшенко Юлия Николаевна
Language:
Russian
ECTS credits:
6
Contact hours:
42
Bachelor
2023/2024
Machine Learning
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:
50
Open to:
students of one campus
Instructors:
Корпачев Сергей Сергеевич,
Щукин Игорь Андреевич,
Alexey Boldyrev,
Alexandra Kogan,
Конюшенко Юлия Николаевна
Language:
Russian
ECTS credits:
6
Contact hours:
42
Bachelor
2023/2024
Machine Learning
Type:
Compulsory course (Information Security)
Area of studies:
Information Security
Delivered by:
Department of Cyber-Physical Systems Information Security
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
5
Contact hours:
60
Specialist
2023/2024
Machine Learning
Type:
Compulsory course (Cyber Security)
Delivered by:
Department of Cyber-Physical Systems Information Security
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
5
Contact hours:
60
Master
2023/2024
Machine Learning
Type:
Compulsory course (Financial Technologies and Data Analysis)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2023/2024
Machine Learning
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
1 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
12
Contact hours:
120
Bachelor
2023/2024
Machine Learning
Type:
Elective course (International Programme in Economics and Finance)
Area of studies:
Economics
Delivered by:
International College of Economics and Finance
When:
4 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
112
Bachelor
2023/2024
Machine Learning
Type:
Elective course (International Programme in Economics and Finance)
Area of studies:
Economics
Delivered by:
International College of Economics and Finance
When:
4 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
112
Bachelor
2023/2024
Machine Learning
Type:
Elective course (International Programme in Economics and Finance)
Area of studies:
Economics
Delivered by:
International College of Economics and Finance
When:
4 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
112
2023/2024
Machine Learning
Type:
Mago-Lego
Delivered by:
International laboratory for Applied Network Research
When:
3 module
Open to:
students of one campus
Instructors:
Vasilisa Vashchenko
Language:
English
ECTS credits:
3
Contact hours:
40
2023/2024
Machine Learning
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
1, 2 module
Open to:
students of one campus
Instructors:
Ермолаев Никита Дмитриевич,
Меркушов Дмитрий Владимирович,
Ермолаев Никита Дмитриевич,
Меркушов Дмитрий Владимирович,
Ермолаев Никита Дмитриевич,
Pyotr Rybakov,
Парпулов Дмитрий Андреевич
Language:
Russian
ECTS credits:
6
Contact hours:
60
2023/2024
Machine Learning
Type:
Mago-Lego
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2023/2024
Machine Learning
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
1-4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
12
Contact hours:
120
Bachelor
2023/2024
Machine Learning
Type:
Elective course (Software Engineering)
Area of studies:
Software Engineering
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:
4
Contact hours:
60