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Бакалавриат 2019/2020

Введение в большие данные

Статус: Курс по выбору (Бизнес-информатика)
Направление: 38.03.05. Бизнес-информатика
Когда читается: 3-й курс, 1 модуль
Формат изучения: Blended
Язык: английский
Кредиты: 4

Программа дисциплины

Аннотация

“Introduction to Big Data” is a “blended” course taught in the 3d year of the bachelor’s program. The course consists of the on-line part provided by www.coursera.org (course title – Introduction to Big Data, https://www.coursera.org/learn/big-data-introduction) and the off-line part described below. The students are supposed to study the on-line part on their own using the materials available at www.coursera.org. The off-line part of the course helps students better understand the basics of Big Data by communicating with instructors. The coverage of the offline part is not limited to the topics of the on-line part and makes special emphasis on the topical issues of the applied fields, which may be hard for self-study. The duration of the course is one module. The course is worth 4 credits.
Цель освоения дисциплины

Цель освоения дисциплины

  • The course is to introduce students to the core concepts of Big Data analysis and application to selected applied fields
Результаты освоения дисциплины

Результаты освоения дисциплины

  • - Know the fundamental concepts, principles and approaches to description of the Big Data Landscape. - Be able to understand the main problems of the Big Data Analysis, get acquainted to the architectural components and programming models used for scalable data analysis. - Learn how to use one of the most common frameworks, Hadoop.
  • The following competences: - Being able to explicate the scientific essence of problems in the professional field - Being able to use the relevant mathematical and technical tools for processing, analysis and systematization of data on the topic of research - Being able to prepare scientific reports and presentations
Содержание учебной дисциплины

Содержание учебной дисциплины

  • 1. ON-LINE PHASE
    - Introduction. - Big Data: Why and Where. - Characteristics of Big Data and Dimensions of Scalability. - Data Science: Getting Value out of Big Data. - Foundation for Big Data Systems and Programming. - Systems: Getting Started with Hadoop
  • 2. OFF-LINE PHASE
    Selected topics related to Big Data in: - Social Network Analysis - Industrial Internet - Healthcare
Элементы контроля

Элементы контроля

  • неблокирующий Created with Sketch. on-line tests
  • неблокирующий Created with Sketch. paper based exam
    The duration of the exam is 90 minutes.
Промежуточная аттестация

Промежуточная аттестация

  • Промежуточная аттестация (1 модуль)
    0.6 * on-line tests + 0.4 * paper based exam
Список литературы

Список литературы

Рекомендуемая основная литература

  • Hillyard, S., & Hand, M. (2014). Big Data? : Qualitative Approaches to Digital Research (Vol. First edition). Bingley, UK: Emerald Group Publishing Limited. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=908919