Research Seminar "Data Analysis and Artificial Intelligence 2"

2024/2025

Academic Year

ENG

Instruction in English

5

ECTS credits

Delivered at:

School of Data Analysis and Artificial Intelligence

Course type:

Compulsory course

When:

4 year, 1-3 module

Instructor

Gromov, Vasilii

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.