Courses
Master
2023/2024
Antitrust in Digital Economy
Type:
Compulsory course (Digital Law )
Area of studies:
Law
Delivered by:
School of Digital Law and Bio-Law
Where:
Faculty of Law
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Воронин Михаил Михайлович
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2023/2024
Antitrust in Digital Economy
Type:
Compulsory course (Digital Law )
Area of studies:
Law
Delivered by:
School of Digital Law and Bio-Law
Where:
Faculty of Law
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Воронин Михаил Михайлович
Language:
Russian
ECTS credits:
3
Contact hours:
40
2023/2024
Antitrust in Digital Economy
Type:
Mago-Lego
Delivered by:
School of Digital Law and Bio-Law
When:
2 module
Open to:
students of one campus
Instructors:
Воронин Михаил Михайлович
Language:
Russian
ECTS credits:
3
Contact hours:
40
Master
2023/2024
Application of Electronic Layouts and Digital Twins
Type:
Compulsory course (Computer Systems and Networks)
Area of studies:
Information Science and Computation Technology
Delivered by:
School of Computer Engineering
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Albert Viktorovich Sarafanov
Language:
Russian
ECTS credits:
6
Contact hours:
62
2023/2024
Application of Electronic Layouts and Digital Twins
Type:
Mago-Lego
Delivered by:
School of Computer Engineering
When:
3, 4 module
Open to:
students of one campus
Instructors:
Albert Viktorovich Sarafanov
Language:
Russian
ECTS credits:
6
Contact hours:
62
Master
2023/2024
Application of Machine Learning in Macroeconomics
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
14
Master
2023/2024
Application of Machine Learning in Macroeconomics
Type:
Elective course (Economic Analysis)
Area of studies:
Economics
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
2 year, 1 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
14
2023/2024
Application of Machine Learning in Macroeconomics
Type:
Mago-Lego
Delivered by:
Master's Programmes Curriculum Support
When:
1 module
Online hours:
20
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
14
2023/2024
Applications of Artificial Intelligence (AI) in Economic Analysis
Type:
Mago-Lego
Delivered by:
Department of Statistics and Data Analysis
When:
1, 2 module
Open to:
students of one campus
Instructors:
Yulia Balycheva
Language:
Russian
ECTS credits:
6
Contact hours:
52
Master
2023/2024
Applications of Artificial Intelligence (AI) in Economic Analysis
Type:
Compulsory course (Statistical Analysis in Economics)
Area of studies:
Economics
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Yulia Balycheva
Language:
Russian
ECTS credits:
6
Contact hours:
52
2023/2024
Applications of the Theory of Operators and Functional Analysis
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2023/2024
Applications of the Theory of Operators and Functional Analysis
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2023/2024
Applications of the Theory of Operators and Functional Analysis
Type:
Compulsory course (Systems Analysis and Mathematical Technologies)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
Bachelor
2023/2024
Applied algorithms and data structures
Type:
Compulsory course (Business Informatics)
Area of studies:
Business Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Graduate School of Business
When:
2 year, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Maria Gordenko
Language:
Russian
ECTS credits:
3
Contact hours:
40
Bachelor
2023/2024
Applied algorithms and data structures
Type:
Compulsory course (IT System Development for Business)
Area of studies:
Software Engineering
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Management
When:
2 year, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Maria Gordenko
Language:
Russian
ECTS credits:
3
Contact hours:
40
2023/2024
Applied Analysis
Type:
Mago-Lego
Delivered by:
Faculty of Mathematics
When:
1, 2 module
Open to:
students of one campus
Instructors:
Kirill Zybin
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2023/2024
Applied Analysis
Type:
Compulsory course (Mathematics)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Kirill Zybin
Language:
Russian
ECTS credits:
6
Contact hours:
60
2023/2024
Applied Analysis
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
When:
1, 2 module
Open to:
students of one campus
Instructors:
Kirill Zybin
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2023/2024
Applied Analysis
Type:
Elective course (Mathematics)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Kirill Zybin
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2023/2024
Applied Analysis
Type:
Elective course (Mathematics)
Area of studies:
Mathematics
Delivered by:
Faculty of Mathematics
Where:
Faculty of Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Kirill Zybin
Language:
Russian
ECTS credits:
6
Contact hours:
60