Mariia Vorobyeva
- Visiting Lecturer: Faculty of Computer Science / Big Data and Information Retrieval School
- Mariia Vorobyeva has been at HSE University since 2025.
- Language Proficiency
- English
- Russian
- Contacts
- Phone:
27234 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S803
- SPIN-RSCI: 4105-4932
- ORCID: 0000-0002-2581-5017
- ResearcherID: AAM-9997-2020
- Google Scholar
- Supervisor
- M. Posypkin
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Education
2011
Master's in Applied Mathematics and Information ScienceHSE University
2006
Degree in MathematicsUlyanov Chuvash State University
Courses (2024/2025)
- Data Analysis in Business (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Past Courses
Courses (2023/2024)
- Data Analysis in Business (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Eng
Courses (2022/2023)
- Data Analysis in Business (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Data Science Case Studies in Customer Intelligence and Text Mining (Optional course (university); 1, 2 module)Rus
Courses (2021/2022)
- Data Analysis in Business (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Eng
- Data Analysis in Business (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 3 module)Rus
- Data Analysis in Business (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 3, 4 module)Rus
Courses (2020/2021)
- Data Analysis in Business (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Eng
- Data Analysis in Business (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 4 year, 3 module)Rus