Bachelor
2024/2025
Research Seminar "Data Analysis and Artificial Intelligence 2"
Type:
Compulsory course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
4 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Vasilii Gromov
Language:
English
ECTS credits:
5
Contact hours:
52
Course Syllabus
Abstract
The main goal of the course is to develop the skills of working with scientific texts, understanding mathematical ideas and turning them into algorithms and working code for 4th-year students of Applied Mathematics and Computer Science. As a field of knowledge, it is proposed to use modern clustering algorithms and modern time series forecasting algorithms. The necessary preliminary knowledge should include mathematical analysis, linear algebra, probability theory and mathematical statistics, the theory of complexity of algorithms.