Courses
Bachelor
2023/2024
Raising Capital in the Stock Market
Type:
Elective course (Economics and Statistics)
Area of studies:
Economics
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
3 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
38
Bachelor
2023/2024
Raising Capital in the Stock Market
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
3 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
38
2023/2024
Raising Capital in the Stock Market
Type:
Optional course (faculty)
Delivered by:
Department of Financial Market Infrastructure
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
38
2023/2024
Random Assignment Problems
Type:
Mago-Lego
Delivered by:
Department of Theoretical Economics
When:
2 module
Open to:
students of one campus
Instructors:
Behrang Kamali Shahdadi
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2023/2024
Random Assignment Problems
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Behrang Kamali Shahdadi
Language:
English
ECTS credits:
3
Contact hours:
28
Master
2023/2024
Random Assignment Problems
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Behrang Kamali Shahdadi
Language:
English
ECTS credits:
3
Contact hours:
28
2023/2024
Random Processes and Modeling
Type:
Mago-Lego
Delivered by:
Department of Statistics and Data Analysis
When:
3, 4 module
Open to:
students of one campus
Instructors:
Valentin Konakov
Language:
Russian
ECTS credits:
6
Contact hours:
36
Master
2023/2024
Random Processes and Modeling
Type:
Compulsory course (Stochastic Modeling in Economics and Finance)
Area of studies:
Economics
Delivered by:
Department of Statistics and Data Analysis
Where:
Faculty of Economic Sciences
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Valentin Konakov
Language:
Russian
ECTS credits:
6
Contact hours:
36
2023/2024
Random Processes Basics and SDE-based Simulation Models
Type:
Mago-Lego
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
When:
1, 2 module
Open to:
students of one campus
Instructors:
Evgeny Sokolovskiy
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2023/2024
Random Processes Basics and SDE-based Simulation Models
Type:
Elective 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:
Evgeny Sokolovskiy
Language:
Russian
ECTS credits:
6
Contact hours:
56
2023/2024
Random Processes, Random Matrices and Integrable Models
Type:
Optional course (faculty)
Delivered by:
Faculty of Mathematics
When:
3, 4 module
Open to:
students of all HSE University campuses
Instructors:
Alexander M. Povolotsky
Language:
Russian
ECTS credits:
6
Contact hours:
72
Master
2023/2024
Ratings
Type:
Elective course (Financial Analyst)
Area of studies:
Finance and Credit
Delivered by:
HSE Banking Institute
Where:
HSE Banking Institute
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
30
Bachelor
2023/2024
Readings in Urban Studies
Type:
Compulsory course (Urban Planning)
Area of studies:
Urban Planning
Delivered by:
Vysokovsky Graduate School of Urbanism
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Natalia V. Katasonova
Language:
English
ECTS credits:
4
Contact hours:
56
Postgraduate course
2023/2024
Reading the Best Doctoral Dissertations in Computer Science
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:
Sergei Kuznetsov
Language:
English
ECTS credits:
4
Contact hours:
38
Postgraduate course
2023/2024
Reading the Best Doctoral Dissertations in Computer Science
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:
Sergei Kuznetsov
Language:
English
ECTS credits:
4
Contact hours:
38
2023/2024
Reaserch Seminar "Fan Practices and Participatory Cultures
Type:
Optional course (faculty)
Delivered by:
School of Philosophy and Cultural Studies
When:
1-3 module
Open to:
students of one campus
Instructors:
Ksenia Romanenko
Language:
Russian
ECTS credits:
3
Contact hours:
46
2023/2024
Reaserch Seminar "History of Public Thought in Russia in the 19th century"
Type:
Optional course (faculty)
Delivered by:
School of History
When:
1-3 module
Open to:
students of one campus
Instructors:
Vadim Parsamov
Language:
Russian
ECTS credits:
3
Contact hours:
44
2023/2024
Reaserch Seminar "Law and Justice in Eighteenth-Century Russia"
Type:
Optional course (faculty)
Delivered by:
School of History
When:
1-3 module
Open to:
students of one campus
Instructors:
Galina O. Babkova
Language:
Russian
ECTS credits:
3
Contact hours:
44
2023/2024
Reaserch Seminar "Modern Methods of Studying Historical and Cultural Perspectives"
Type:
Optional course (faculty)
Delivered by:
School of History
When:
1-3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
44