Master 2022/2023

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: 1 year, 3, 4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Dmitry Frolenkov

Master’s programme: Data Science

Language: English

ECTS credits: 6

Contact hours: 36

Course Syllabus

Abstract

The discipline goal is to develop students' professional skills in applied fields of the computer science. As part of the Scientific Seminar, the course "Introduction to the Number Theory and its Applications" will be read during the first semester and the course “Introduction to the Semantic Web Technologies” during the second semester. The course "Introduction to the Number Theory and its Applications" 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. The course “Introduction to the Semantic Web Technologies” is a gentle introduction to the theory and practice of the Semantic Web, an extension of the current Web that provides an easier way to find, share, reuse and combine information. It is based on machine-readable information and builds on XML technology's capability to define customized tagging schemes, RDF's (Resource Description Framework) flexible approach to representing data, the OWL (Web Ontology Language) schema language and SPARQL query language. The Semantic Web provides common formats for the interchange of data (where on the Web there is only an interchange of documents). It also provides a common language for recording how data relates to real world objects, allowing a person or a machine to start off in one database, and then move through an unending set of databases which are connected not by wires but by being about the same thing. Important applications of the Semantic Web technologies include Healthcare (SNOMED CT), Supply Chain Management (Biogen Idec), Media Management (BBC), Data Integration in the Oil & Gas industry (Chevron, Statoil), Web Search and E-commerce.