Courses
2024/2025
Network Partnership in Russian Universities: Cases, Technologies, Effects
Type:
Mago-Lego
Delivered by:
Department of Educational Programmes
When:
3 module
Open to:
students of one campus
Instructors:
Anna Garmonova
Language:
Russian
ECTS credits:
3
Contact hours:
42
Master
2024/2025
Network Science
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, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
78
2024/2025
Network Science
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
3, 4 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
78
Master
2024/2025
Networks: Theory and Applications
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
3
Contact hours:
36
2024/2025
Networks: Theory and Applications
Type:
Mago-Lego
Delivered by:
Department of Theoretical Economics
Open to:
students of all HSE University campuses
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Networks: Theory and Applications
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, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Networks: Theory and Applications
Type:
Elective course (Economics and Economic Policy)
Area of studies:
Economics
Delivered by:
Department of Theoretical Economics
Where:
Faculty of Economic Sciences
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Networks: Theory and Applications
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, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
Contact hours:
36
Master
2024/2025
Networks: Theory and Applications
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, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Mariya Teteryatnikova
Language:
English
ECTS credits:
3
Contact hours:
36
2024/2025
Network Structure Analysis
Type:
Mago-Lego
Delivered by:
Department of Applied Mathematics and Informatics
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Network Technologies in Machine-to-Machine (M2M) Communications
Type:
Compulsory course (Internet of Things and Cyber-physical Systems)
Area of studies:
Infocommunication Technologies and Systems
Delivered by:
School of Electronic Engineering
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
2024/2025
Network Technologies in Machine-to-Machine (M2M) Communications
Language:
Russian
ECTS credits:
6
Contact hours:
60
Bachelor
2024/2025
Network Video Technologies
Type:
Compulsory course (Information Science and Computation Technology)
Area of studies:
Information Science and Computation Technology
Delivered by:
School of Computer Engineering
When:
3 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
4
Contact hours:
82
Master
2024/2025
Neural Networks and Deep Learning
Type:
Compulsory course (Applied Artificial Intelligence Models)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 2-4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
2024/2025
Neural Networks and Deep Learning
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
2-4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
2024/2025
Neural Networks and Deep Learning
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
2, 3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
Master
2024/2025
Neural Networks and Deep Learning
Type:
Elective course (Business Analytics and Big Data Systems)
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:
distance learning
Online hours:
20
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
6
Contact hours:
36
2024/2025
Neural Networks and Deep Learning
Type:
Mago-Lego
Delivered by:
Department of Business Informatics
When:
1, 2 module
Online hours:
20
Open to:
students of all HSE University campuses
Language:
English
ECTS credits:
6
Contact hours:
36
2024/2025
Neural Networks and Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
2, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
48
Master
2024/2025
Neural Networks and Machine Learning for Artificial Intelligence Systems
Type:
Compulsory course (Artificial Intelligence Software and Hardware)
Area of studies:
Infocommunication Technologies and Systems
Delivered by:
School of Electronic Engineering
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Language:
Russian
ECTS credits:
6
Contact hours:
60