Master
2023/2024
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
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.