Bachelor 2023/2024

Research Seminar "Data Analysis and Artificial Intelligence 2"

Type: Elective 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.