Courses
2024/2025
Generative Artificial Intelligence
Type:
Mago-Lego
Delivered by:
Joint Department with Yandex
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Master
2024/2025
Generative Models
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:
2 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Tigran Ramazyan
Language:
Russian
ECTS credits:
3
2024/2025
Generative Models
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
2 module
Open to:
students of one campus
Instructors:
Tigran Ramazyan
Language:
Russian
ECTS credits:
3
Bachelor
2024/2025
Generative Models in Machine Learning
Type:
Elective 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:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
5
Bachelor
2024/2025
Generative Models in 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, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Artem Ryzhikov
Language:
Russian
ECTS credits:
4
Master
2024/2025
Generative Models in Machine 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:
2 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Mikhail Hushchyn
Language:
Russian
ECTS credits:
3
Master
2024/2025
Generative Models in Machine Learning
Type:
Elective course (Modern Computer Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
2024/2025
Generative Models in Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
3 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
2024/2025
Generative Models in Machine Learning
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Open to:
students of one campus
Instructors:
Mikhail Hushchyn
Language:
Russian
ECTS credits:
3
Master
2024/2025
Generative Models in Machine Learning
Type:
Elective course (Math of Machine Learning)
When:
2 year, 1 module
Open to:
students of one campus
Language:
English
2024/2025
Generative Models in Machine Learning
Type:
Mago-Lego
When:
1 module
Open to:
students of one campus
Language:
Russian
Bachelor
2024/2025
Generative Models in Machine Learning (advanced course)
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
Instructors:
Artem Ryzhikov
Language:
Russian
ECTS credits:
6
Bachelor
2024/2025
Generative Models in Machine Learning (advanced course)
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
Instructors:
Artem Ryzhikov
Language:
Russian
ECTS credits:
6
Master
2024/2025
Genesis and Structure of the New Testament Corpus
Type:
Compulsory course (Classical and Modern Orient: Languages, Cultures, Religions)
Area of studies:
Asian and African Studies
Delivered by:
Institute for Oriental and Classical Studies
Where:
Faculty of Humanities
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Mikhail Seleznev
Language:
Russian
ECTS credits:
3
2024/2025
Genesis and Structure of the New Testament Corpus
Type:
Mago-Lego
Delivered by:
Institute for Oriental and Classical Studies
When:
2 module
Open to:
students of all HSE University campuses
Instructors:
Mikhail Seleznev
Language:
Russian
ECTS credits:
3
Master
2024/2025
Genesis and structure of the Old Testament corpus
Type:
Compulsory course (Classical and Modern Orient: Languages, Cultures, Religions)
Area of studies:
Asian and African Studies
Delivered by:
Institute for Oriental and Classical Studies
Where:
Faculty of Humanities
When:
2 year, 1-3 module
Mode of studies:
distance learning
Open to:
students of one campus
Instructors:
Mikhail Seleznev
Language:
Russian
ECTS credits:
9
Bachelor
2024/2025
Genetic Engineering and Bioengineering
Type:
Compulsory course (Cell and Molecular Biotechnology)
Area of studies:
Biology
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Roman Zinovkin
Language:
Russian
ECTS credits:
4
Bachelor
2024/2025
Genetics
Type:
Compulsory course (Cognitive Neurobiology)
Area of studies:
Biology
When:
2 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Bachelor
2024/2025
Genetics
Type:
Compulsory course (Cell and Molecular Biotechnology)
Area of studies:
Biology
When:
2 year, 4 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
4
Master
2024/2025
Genomic editing Technologies
Type:
Compulsory course (Cell and Molecular Biotechnology)
Area of studies:
Biotechnology
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Карпов Дмитрий Сергеевич,
Ребриков Денис Владимирович
Language:
Russian
ECTS credits:
6