Бакалавриат
2023/2024
Научно-исследовательский семинар "Анализ данных и искусственный интеллект"
Статус:
Курс обязательный (Прикладная математика и информатика)
Направление:
01.03.02. Прикладная математика и информатика
Где читается:
Факультет компьютерных наук
Когда читается:
3-й курс, 1-4 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
4
Контактные часы:
72
Course Syllabus
Abstract
The discipline goal is to develop students' professional skills required for independent analytical work in applied fields of the computer science. The course consists of two parts: Bioelectrical digital signal processing and Introduction to the Semantic Web Technologies. The former aims to improve skills of students in developing their research projects related with digital signal processing. The course program includes two main parts. The first part is an introduction in digital signal processing (DSP) theory. The second part covers practical issues of DSP theory application to the problem of brain-computer interfaces development ‒ one of the major fields in modern neuroscience. The latter 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.