Courses
2024/2025
Basis of Psychological Assistance in Business
Language:
Russian
ECTS credits:
6
Contact hours:
48
Master
2024/2025
Bayesian Data Analysis
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:
2 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
40
2024/2025
Bayesian Data Analysis
Type:
Mago-Lego
Delivered by:
International Laboratory for Applied Network Research
When:
3 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
40
Master
2024/2025
Bayesian Methods for Data Analysis
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:
2 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
2024/2025
Bayesian Methods for Data Analysis
Type:
Mago-Lego
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
When:
1 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
28
Bachelor
2024/2025
Bayesian Methods for Machine Learning
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Contact hours:
56
Master
2024/2025
Bayesian Methods for Machine Learning
Type:
Elective course (Modern Computer Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Joint Department with Yandex
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2024/2025
Bayesian Methods for Machine Learning
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56
2024/2025
Bayesian Methods for Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
2, 3 module
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
14
2024/2025
Bayesian Methods for Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
14
Master
2024/2025
Bayesian Statistics
Type:
Compulsory course (Applied Politics)
Area of studies:
Political Science
Delivered by:
School of Politics and Governance
Where:
Faculty of Social Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Беленков Вадим Евгеньевич
Language:
Russian
ECTS credits:
6
Contact hours:
44
2024/2025
Bayesian Statistics
Type:
Mago-Lego
Delivered by:
School of Politics and Governance
When:
1, 2 module
Open to:
students of one campus
Instructors:
Беленков Вадим Евгеньевич
Language:
Russian
ECTS credits:
6
Contact hours:
44
2024/2025
Beginning of functional analysis and optimization
Type:
Minor
Delivered by:
Department of Mathematics
Where:
Faculty of Economic Sciences
When:
3, 4 module
Open to:
students of all HSE University campuses
Instructors:
Vladimir A. Gordin
Language:
Russian
ECTS credits:
5
Contact hours:
80
Bachelor
2024/2025
Behavioral and cognitive neuroscience
Type:
Compulsory course (Psychology)
Area of studies:
Psychology
Delivered by:
School of Psychology
Where:
Faculty of Social Sciences
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Ivan E. Lazarev
Language:
Russian
ECTS credits:
3
Contact hours:
44
Bachelor
2024/2025
Behavioral and Experimental Economics
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2024/2025
Behavioral and Experimental Economics
Type:
Elective course (HSE/NES Programme in Economics)
Area of studies:
Economics
Delivered by:
Undergraduate Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
64
Bachelor
2024/2025
Behavioral Economics
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Soubhagya Sahoo
Language:
English
ECTS credits:
3
Contact hours:
40
Bachelor
2024/2025
Behavioral Economics
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
3 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Soubhagya Sahoo
Language:
English
ECTS credits:
3
Contact hours:
40
Bachelor
2024/2025
Behavioral Economics
Type:
Elective course (Economics and Data Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
3 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Soubhagya Sahoo
Language:
English
ECTS credits:
3
Contact hours:
40
Bachelor
2024/2025
Behavioral Economics
Type:
Elective course (Economics and Statistics)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Soubhagya Sahoo
Language:
English
ECTS credits:
3
Contact hours:
40