Master 2024/2025

Research Seminar "Number Theoretic and Algebraic Methods in Data Analysis"

Type: Compulsory course (Data Science)

Area of studies: Applied Mathematics and Informatics

Delivered by: School of Data Analysis and Artificial Intelligence

Where: Faculty of Computer Science

When: 2 year, 1, 2 module

Mode of studies: offline

Open to: students of one campus

Instructors: Konstantin Yakovlev

Master’s programme: Data Science

Language: English

ECTS credits: 3

Contact hours: 36

Course Syllabus

Abstract

The discipline goal is to develop students' professional skills in applied fields of the computer science. The course is devoted to the study of number theory and its applications in computer science, mainly in cryptography. The course is aimed at the formation and development of theoretical-numerical thinking, as well as the understanding of the fundamental concepts of number theory and the ways in which they can be used in cryptography.