Научно-исследовательский семинар

Магистратура 2022/2023

Статус: Курс обязательный (Бизнес-аналитика и системы больших данных)

Направление: 38.04.05. Бизнес-информатика

Кто читает: Департамент бизнес-информатики

Где читается: Высшая школа бизнеса

Когда читается: 2-й курс, 1-3 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Бекларян Армен Левонович, Коркмаз Эмин Эркан

Прогр. обучения: Бизнес-аналитика и системы больших данных

Язык: английский

Кредиты: 6

Контактные часы: 48

Full Syllabus

Abstract

This course's key objective is to make the students familiar with implementing the most important big data concepts in various business domains. We will discuss industries like: Banking and Securities; Communications, Media and Entertainment; Healthcare; Education; Manufacturing and Natural Resources; Government; Insurance; Retail and Wholesale trade

Learning Objectives

This course gives insights into how big data technologies impact the business

Expected Learning Outcomes

Describe the ethics, governance, and sustainability challenges relating to Big Data
Design and evaluate an approach for the architecture of infrastructure for Big Data products based upon particular needs, including selecting an appropriate set of technologies, and governance strategy for storage and processing data
Discuss the impact of digitization and the adoption of Big Data in business and overall society
Explain the challenges of creating and maintaining Big Data products

Course Contents

Big Data Ecosystem
(Big) Data Management
Data Products and Economics
Data Culture and Ethics

Assessment Elements

Activity during classes
Project defense
State-of-the-art
Exam

Interim Assessment

2022/2023 3rd module
0.35 * Exam + 0.15 * Activity during classes + 0.25 * State-of-the-art + 0.25 * Project defense

Bibliography

Recommended Core Bibliography

Malaska, T., & Seidman, J. (2018). Foundations for Architecting Data Solutions : Managing Successful Data Projects: Vol. First edition. O’Reilly Media.
Thomas Erl, Wajid Khattak, & Paul Buhler. (2016). Big Data Fundamentals : Concepts, Drivers & Techniques. Prentice Hall.

Recommended Additional Bibliography

Jules S. Damji, Brooke Wenig, Tathagata Das, & Denny Lee. (2020). Learning Spark. O’Reilly Media.
Kleppmann, M. (2017). Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Sebastopol, CA: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1487643
Mark Richards, & Neal Ford. (2019). Fundamentals of Software Architecture : An Engineering Approach. O’Reilly Media.

Course Syllabus