Courses
2024/2025
Decision Making Under Risk and Uncertainty
Type:
Optional course (faculty)
Delivered by:
School of Applied Mathematics
When:
3 module
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
40
2024/2025
Decision Making Under Risk and Uncertainty
Type:
Optional course (faculty)
Delivered by:
School of Applied Mathematics
Open to:
students of all HSE University campuses
Instructors:
Larisa Manita
Language:
Russian
ECTS credits:
3
Contact hours:
40
2024/2025
Decision Making Under Risk and Uncertainty
Type:
Mago-Lego
Delivered by:
Department of Security Research
When:
3 module
Open to:
students of one campus
Instructors:
Nikolay Filinov
Language:
Russian
ECTS credits:
3
Contact hours:
32
Master
2024/2025
Decision Making Under Risk and Uncertainty
Type:
Compulsory course (Competitive Intelligence Analyst)
Area of studies:
Management
Delivered by:
Department of Security Research
Where:
Institute of Security Studies
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Nikolay Filinov
Language:
Russian
ECTS credits:
3
Contact hours:
32
Bachelor
2024/2025
Decision Systems
Type:
Compulsory course (Information Security)
Area of studies:
Information Security
Delivered by:
Department of Cyber-Physical Systems Information Security
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
40
Master
2024/2025
Deep Data and Text Analysis
Type:
Elective course (Business Informatics: Digital Enterprise and Information Systems Management)
Area of studies:
Business Informatics
Delivered by:
Department of Business Informatics
Where:
Graduate School of Business
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
2024/2025
Deep Data and Text Analysis
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
48
2024/2025
Deep Generative Models
Type:
Mago-Lego
Delivered by:
Department of Applied Mathematics and Informatics
When:
3 module
Online hours:
90
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
6
2024/2025
Deep Generative Models
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
Deep Generative Models
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
Master
2024/2025
Deep Learning
Type:
Compulsory 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:
2 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
48
Open to:
students of all HSE University campuses
Instructors:
Fedor Ratnikov
Language:
English
ECTS credits:
6
Contact hours:
48
Bachelor
2024/2025
Deep Learning
Type:
Compulsory course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
56
Master
2024/2025
Deep Learning
Type:
Elective course (Data Analysis in Biology and Medicine)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Aziz Temirkhanov
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2024/2025
Deep Learning
Type:
Elective course (Economics and Data Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
Where:
Faculty of Economic Sciences
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2024/2025
Deep 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, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Тарасов Дмитрий Юрьевич
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2024/2025
Deep 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, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Aziz Temirkhanov
Language:
Russian
ECTS credits:
6
Contact hours:
80
2024/2025
Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3, 4 module
Open to:
students of one campus
Instructors:
Aziz Temirkhanov
Language:
Russian
ECTS credits:
6
Contact hours:
80
2024/2025
Deep Learning
Type:
Mago-Lego
Delivered by:
Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
When:
3, 4 module
Open to:
students of one campus
Instructors:
Тарасов Дмитрий Юрьевич
Language:
Russian
ECTS credits:
6
Contact hours:
80
2024/2025
Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3, 4 module
Open to:
students of one campus
Instructors:
Aziz Temirkhanov
Language:
Russian
ECTS credits:
6
Contact hours:
80
2024/2025
Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
16