Courses
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
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
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
Language:
Russian
ECTS credits:
6
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
Language:
Russian
ECTS credits:
6
2024/2025
Deep Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
4 module
Open to:
students of one campus
Instructors:
Блуменау Марк Ильич
Language:
Russian
ECTS credits:
3
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
Instructors:
Блуменау Марк Ильич
Language:
Russian
ECTS credits:
3
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
Master
2024/2025
Deep Learning
Type:
Elective course (Math of Machine Learning)
When:
1 year, 3, 4 module
Open to:
students of one campus
Language:
English
2024/2025
Deep Learning
Type:
Mago-Lego
When:
3, 4 module
Open to:
students of one campus
Language:
Russian
Bachelor
2024/2025
Deep Learning 1
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:
3 year, 2, 3 module
Mode of studies:
distance learning
Online hours:
60
Open to:
students of one campus
Instructors:
Mikhail Lazarev
Language:
English
ECTS credits:
4
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
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
Instructors:
Ким Сергей Вячеславович
Language:
Russian
ECTS credits:
5
Bachelor
2024/2025
Deep Learning 1
Type:
Elective course (Economics)
Delivered by:
Big Data and Information Retrieval School
When:
3 year, 2, 3 module
Online hours:
20
Open to:
students of one campus
Language:
English
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
Instructors:
Рубачёв Иван Викторович,
Корягин Никита Сергеевич,
Беляков Степан Иванович,
Корягин Никита Сергеевич,
Aziz Temirkhanov
Language:
Russian
ECTS credits:
5
Bachelor
2024/2025
Deep Learning and Large Language Models Technologies for Text Processing Tasks
Type:
Elective course (Business Informatics)
Delivered by:
Department of Business Informatics
When:
4 year, 3 module
Open to:
students of one campus
Instructors:
Sergey Makrushin
Language:
Russian
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
Instructors:
Бадмаев Тингир Мингиянович,
Валитов Эльдар Рафекович
Language:
Russian
ECTS credits:
5
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
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
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