Courses
2023/2024
Logistics Infrastructure of International Transport Corridors
Type:
Mago-Lego
Delivered by:
International Centre for Logistics Training
When:
2 semester
Open to:
students of one campus
Instructors:
Vladimir Pavlovich Klepikov
Language:
Russian
ECTS credits:
2
Contact hours:
36
Master
2023/2024
Logistics Infrastructure of International Transport Corridors
Type:
Compulsory course
Area of studies:
Innovation Studies
Delivered by:
International Centre for Logistics Training
Where:
International Centre for Logistics Training
When:
1 year, 2 semester
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Vladimir Pavlovich Klepikov
Language:
Russian
ECTS credits:
2
Contact hours:
36
2023/2024
Logistics of Internet Retailing
Type:
Mago-Lego
Delivered by:
International Centre for Logistics Training
When:
3 module
Open to:
students of all HSE University campuses
Instructors:
Andrey Vinogradov
Language:
Russian
ECTS credits:
3
Contact hours:
40
2023/2024
Looking for Modernity, Searching for Tradition: Art, Artists, and Art Collectors in Modern Japan
Type:
Mago-Lego
Delivered by:
School of History
When:
1, 2 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
46
2023/2024
Loss and Trauma
Type:
Mago-Lego
Delivered by:
School of Psychology
When:
2 module
Open to:
students of one campus
Instructors:
Банников Геннадий Сергеевич,
Ефимова Анна Алексеевна,
Lina B. Kogan-Lerner
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2023/2024
Loss and Trauma
Type:
Compulsory course (Systemic Family Therapy)
Area of studies:
Psychology
Delivered by:
School of Psychology
Where:
Faculty of Social Sciences
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Банников Геннадий Сергеевич,
Ефимова Анна Алексеевна,
Lina B. Kogan-Lerner
Language:
Russian
ECTS credits:
3
Contact hours:
40
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 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