Courses
Master
2024/2025
Deep Learning
Type:
Compulsory course (Artificial Intelligence)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
16
2024/2025
Deep Learning
Type:
Mago-Lego
Delivered by:
School of Data Analysis and Artificial Intelligence
When:
1, 2 module
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 1
Type:
Compulsory course (Computing and Data Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
3 year, 1-3 module
Mode of studies:
distance learning
Online hours:
60
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
60
Bachelor
2024/2025
Deep Learning 1
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:
3 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
20
Open to:
students of one campus
Language:
English
ECTS credits:
4
Contact hours:
48
Bachelor
2024/2025
Deep Learning 1
Type:
Compulsory course (Computing and Data 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:
44
Bachelor
2024/2025
Deep Learning 2
Type:
Compulsory 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
Bachelor
2024/2025
Deep Learning for Graph Data Analysis
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
Deep Learning for Graph Data Analysis
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
Deep Learning for Graph Data Analysis
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
Bachelor
2024/2025
Deep Learning for Graph Data Analysis
Type:
Compulsory course (Computing and Data 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
Bachelor
2024/2025
Deep Learning for Natural Language Processing
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 all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2024/2025
Deep Learning for Natural Language Processing
Type:
Elective course (Computing and Data 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
Deep Learning for Natural Language Processing
Type:
Elective 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:
2 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
2024/2025
Deep Learning for Natural Language Processing
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
2024/2025
Deep Learning for Natural Language Processing
Type:
Mago-Lego
Delivered by:
Joint Department with MTS
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Master
2024/2025
Deep Learning for Natural Language Processing
Type:
Compulsory course (Research and Entrepreneurship in Artificial Intelligence)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Joint Department with MTS
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
80
Bachelor
2024/2025
Deep Learning for Sound Processing
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 all HSE University campuses
Language:
Russian
ECTS credits:
5
Contact hours:
56
Bachelor
2024/2025
Deep Learning Methods in Natural Sciences
Type:
Elective course (Economics and Data Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
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
Bachelor
2024/2025
Deep Learning Methods in Natural Sciences
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:
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 Vision and Graphics
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:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
56