Daria Kasyanenko
- Deputy Head, Senior Lecturer: Faculty of Computer Science / Big Data and Information Retrieval School
- Expert: Faculty of Computer Science / Continuing Education Centre
- Programme Academic Supervisor: Data Engineering
- Daria Kasyanenko has been at HSE University since 2015.
Education
2020
Master'sHSE University
2018
Bachelor'sHSE University
Awards and Accomplishments
- Members of Professional Development Programme for Administrative Staff (2023)
Best Academic Supervisor in the category ‘Student Recruitment’ — 2024
Courses (2024/2025)
- Artificial Intelligence in Communications (Bachelor’s programme; Faculty of Creative Industries; 4 year, 2 module)Rus
- Computer Systems Security (Mago-Lego; 4 module)Rus
- Computer Systems Security (Master’s programme; Faculty of Computer Science; 1 year, 4 module)Rus
- Data Analysis in Python (Bachelor’s programme; Faculty of Creative Industries; 3 year, 3 module)Rus
- Data Analysis in Python (Bachelor’s programme; Faculty of Humanities field of study Philology, field of study Asian and African Studies, field of study Asian and African Studies, field of study Asian and African Studies; 3 year, 2, 3 module)Rus
- Data analytics, artificial intelligence and generative models (Bachelor’s programme; Faculty of Creative Industries field of study Advertising and Public Relations, field of study Advertising and Public Relations; 3 year, 1, 2 module)Rus
- ETL Processes (Mago-Lego; 3, 4 module)Rus
- ETL Processes (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Rus
- Information Systems (Mago-Lego; 1, 2 module)Rus
- Information Systems (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Rus
- Mentor's Seminar (Master’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- NoSQL Databases (Mago-Lego; 3 module)Rus
- NoSQL Databases (Master’s programme; Faculty of Computer Science; 1 year, 3 module)Rus
- Python for Data Engineering (Mago-Lego; 1, 2 module)Rus
- Python for Data Engineering (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Rus
- Past Courses
Courses (2023/2024)
- Data Analysis (Bachelor’s programme; Faculty of Creative Industries field of study Journalism, field of study Media Communications; 2 year, 1, 2 module)Rus
- Data Analysis in Python (Bachelor’s programme; Faculty of Creative Industries field of study Fine Art, field of study Design, field of study Design; 3 year, 3, 4 module)Rus
- Data Analysis in Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 3 year, 3 module)Rus
- Introduction into Python (Bachelor’s programme; Faculty of Humanities field of study Philology, field of study Philosophy, field of study History, field of study History of Art, field of study Cultural Studies; 2 year, 1, 2 module)Rus
- Introduction to Python for Data Science (Bachelor’s programme; Faculty of Humanities; 3 year, 1, 2 module)Rus
- Programming in Python (Bachelor’s programme; Faculty of Creative Industries field of study Journalism, field of study Media Communications; 1 year, 3 module)Rus
- Python for Data Extraction and Processing (Bachelor’s programme; Faculty of Humanities field of study Philology, field of study Asian and African Studies, field of study Asian and African Studies, field of study Asian and African Studies; 2 year, 3 module)Rus
Courses (2022/2023)
- Data Processing and Automation in Google Spreadsheet (Bachelor’s programme; Faculty of Creative Industries; 2 year, 2 module)Rus
- Data Processing and Automation in Google Spreadsheet (Mago-Lego; 4 module)Rus
- Introduction to Open Data (Bachelor’s programme; Faculty of Creative Industries; 2 year, 3 module)Rus
- Programming in Python (Bachelor’s programme; Faculty of Creative Industries field of study Journalism, field of study Media Communications; 1 year, 3 module)Rus
- Sustainability and ICT (Information and Communication Technologies) (Bachelor’s programme; Faculty of Creative Industries; 4 year, 3 module)Eng
- Sustainability and ICT (Information and Communication Technologies) (Bachelor’s programme; Faculty of Creative Industries field of study Journalism, field of study Media Communications; 3 year, 2 module)Rus
Courses (2021/2022)
- History and Theory of Media (Master’s programme; Faculty of Creative Industries field of study Media Communications, field of study Journalism, field of study Media Communications, field of study Media Communications; 1 year, 1, 2 module)Rus
- History and Theory of Media (Master’s programme; School of Arts and Humanities; 1 year, 1, 2 module)Rus
- Programming in Python (Bachelor’s programme; Faculty of Creative Industries; 2 year, 4 module)Rus
- Sustainability and ICT (Information and Communication Technologies) (Master’s programme; Faculty of Creative Industries; 2 year, 2 module)Eng
- Sustainability and ICT (Information and Communication Technologies) (Bachelor’s programme; Faculty of Creative Industries; 4 year, 3 module)Rus
Courses (2020/2021)
- History and Theory of Media (Master’s programme; Faculty of Creative Industries field of study Journalism, field of study Media Communications, field of study Media Communications, field of study Media Communications; 1 year, 1, 2 module)Rus
- History and Theory of Media (Master’s programme; School of Arts and Humanities; 1 year, 1, 2 module)Rus
11
Jul
2024
Data Culture: New Times Require New Solutions
The Data Culture Project, a module of the educational programme at HSE University, was launched seven years ago. At that time, it was already clear that the ability to work with data had become an essential skill for any professional, regardless of their field. Thousands of students have since participated in the project's courses, and now it has expanded to all HSE campuses. In 2024, a total of 26,903 students passed independent exams on digital skills. Several updates to the course are planned for the upcoming academic year. In this article, we discuss the changes expected for the Data Culture Project.
24
Apr
2024
‘We Need to Learn to Communicate with Artificial Intelligence Services’
An online course 'What is Generative AI?’ has been launched on the Open Education platform, which will help students learn more about how to properly communicate with neural networks so that they can perform tasks better. Daria Kasyanenko, an expert at the Continuing Education Centre and senior lecturer at the Big Data and Information Retrieval School at the Faculty of Computer Science, spoke about how generative AI works and how to create content with its help.