Courses
Bachelor
2024/2025
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
2024/2025
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
2024/2025
Low Temperature Physics
Type:
Compulsory course (Physics)
Area of studies:
Physics
Delivered by:
Faculty of Physics
Where:
Faculty of Physics
When:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
10
Contact hours:
64
Master
2024/2025
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:
Ivan Kulagin
Language:
Russian
ECTS credits:
3
Contact hours:
28
2024/2025
Machine-dependent Сompiler Оptimizations
Type:
Mago-Lego
When:
1 module
Open to:
students of all HSE University campuses
Instructors:
Ivan Kulagin
Language:
Russian
ECTS credits:
3
Contact hours:
28
2024/2025
Machine Leaning and System Security
Type:
Mago-Lego
Delivered by:
Department of Cyber-Physical Systems Information Security
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2024/2025
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
Online hours:
64
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
112
Bachelor
2024/2025
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
Online hours:
64
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
112
Bachelor
2024/2025
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
Online hours:
64
Open to:
students of one campus
Language:
English
ECTS credits:
10
Contact hours:
112
Bachelor
2024/2025
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
Instructors:
Fedor Ivanov
Language:
Russian
ECTS credits:
6
Contact hours:
60
Specialist
2024/2025
Machine Learning
Type:
Compulsory course (Cyber Security)
Delivered by:
Department of Computer Security
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
60
Bachelor
2024/2025
Machine Learning
Type:
Elective course (Software Engineering)
Area of studies:
Software Engineering
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
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
Master
2024/2025
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
Instructors:
Sergey I. Nikolenko
Language:
Russian
ECTS credits:
12
Contact hours:
120
Bachelor
2024/2025
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
Language:
Russian
ECTS credits:
6
Contact hours:
42
Bachelor
2024/2025
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
Language:
Russian
ECTS credits:
6
Contact hours:
42
Bachelor
2024/2025
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
Language:
Russian
ECTS credits:
6
Contact hours:
42
Master
2024/2025
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
Instructors:
Nadezhda Kalmykova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Machine Learning
Type:
Compulsory course (Data Analysis in Development)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Nadezhda Kalmykova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Machine Learning
Type:
Compulsory course (Business Analytics)
Area of studies:
Business Informatics
Delivered by:
Department of Information Technologies in Business
Where:
Faculty of Economics
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
Master
2024/2025
Machine Learning
Type:
Elective course (Data Analytics and Social Statistics)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
International Laboratory for Applied Network Research
Where:
Faculty of Social Sciences
When:
1 year, 3 module
Mode of studies:
distance learning
Online hours:
40
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
8