Courses
Master
2020/2021
Data Visualization
Type:
Elective course (Big Data Systems)
Area of studies:
Business Informatics
Delivered by:
Department of Business Informatics
When:
1 year, 2, 3 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Maxim Shlyapnev
Language:
English
ECTS credits:
5
Master
2020/2021
Data Visualization, Infographics and Motion Design
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Compulsory course (Data Journalism)
Area of studies:
Journalism
Delivered by:
School of Media
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Тинчурин Закир Равилевич
Language:
Russian
ECTS credits:
4
Master
2020/2021
Data Visualization, Infographics and Motion Design
Type:
Compulsory course (Data Journalism)
Area of studies:
Journalism
Delivered by:
School of Media
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Поповец Любовь Андреевна
Language:
Russian
ECTS credits:
4
Bachelor
2020/2021
Dealing With Missing Data
Type:
Elective course (Fundamental and Computational Linguistics)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
When:
4 year, 3 module
Mode of studies:
distance learning
Open to:
students of one campus
Language:
English
ECTS credits:
3
Bachelor
2020/2021
Dealing With Missing Data
Type:
Elective course (Fundamental and Computational Linguistics)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
When:
3 year, 3 module
Mode of studies:
distance learning
Open to:
students of one campus
Language:
English
ECTS credits:
3
Master
2020/2021
Dealing With Missing Data
Type:
Elective course (Linguistic Theory and Language Description)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
When:
2 year, 3 module
Mode of studies:
distance learning
Open to:
students of one campus
Language:
English
ECTS credits:
3
2020/2021
Decentralized networks: inner workings
Type:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
When:
3, 4 module
Language:
Russian
ECTS credits:
5
Master
2020/2021
Decision Making and Data Analysis under Uncertainty and Ambiguity
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexander Lepskiy
Language:
Russian
ECTS credits:
4
Bachelor
2020/2021
Decision Making in the Problems of Digital Economics under Risk and Uncertainty
Type:
Elective course (Economics and Statistics)
Area of studies:
Economics
Delivered by:
Department of Mathematics
When:
3 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexander Lepskiy
Language:
Russian
ECTS credits:
3
Bachelor
2020/2021
Decision Making in the Problems of Digital Economics under Risk and Uncertainty
Type:
Elective course (Economics)
Area of studies:
Economics
Delivered by:
Department of Mathematics
When:
3 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexander Lepskiy
Language:
Russian
ECTS credits:
3
Master
2020/2021
Decision Making Technology
Type:
Elective course (Management in Higher Education)
Area of studies:
Management
Delivered by:
Institute of Education
When:
1 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Nikolay Filinov
Language:
Russian
ECTS credits:
4
Bachelor
2020/2021
Decision Making under Risk
Type:
Elective course (Applied Mathematics)
Area of studies:
Applied Mathematics
Delivered by:
School of Applied Mathematics
When:
4 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Larisa Manita
Language:
Russian
ECTS credits:
3
Bachelor
2020/2021
Decision Making under Risk and Uncertainty
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Department of Mathematics
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Vladislav V. Podinovskiy
Language:
Russian
ECTS credits:
5
Bachelor
2020/2021
Decision Making under Risk and Uncertainty
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Department of Mathematics
When:
3 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Vladislav V. Podinovskiy
Language:
Russian
ECTS credits:
5
Master
2020/2021
Decision Making Under Risk and Uncertainty
Type:
Compulsory course (Corporate Intelligence Analysis)
Area of studies:
Management
Delivered by:
Department of Security Research
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Nikolay Filinov
Language:
Russian
ECTS credits:
4
Bachelor
2020/2021
Decision Support Systems (BI, CRM)
Type:
Elective course (Business Administration)
Area of studies:
Management
Delivered by:
Department of Business Informatics
When:
4 year, 1 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Bachelor
2020/2021
Deep 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
When:
4 year, 1, 2 module
Mode of studies:
distance learning
Open to:
students of one campus
Language:
Russian
ECTS credits:
5
Master
2020/2021
Deep Learning
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Big Data and Information Retrieval School
When:
2 year, 1, 2 module
Mode of studies:
distance learning
Open to:
students of one campus
Instructors:
Fedor Ratnikov
Language:
English
ECTS credits:
8
Master
2020/2021
Deep Learning
Type:
Elective course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Joint Department with Yandex
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
8
Bachelor
2020/2021
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
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Маркович Александр
Language:
Russian
ECTS credits:
5