Бакалавриат 2026/2027

Системы бизнес-интеллекта

ID 1195801

Статус: Курс обязательный (Управление цифровым продуктом)

Кто читает: Департамент бизнес-информатики

Где читается: Высшая школа бизнеса

Когда читается: 4-й курс, 2, 3 модуль

Охват аудитории: для своего кампуса

Язык: английский

Кредиты: 5

Контактные часы: 50

Course Syllabus

Abstract

The course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass decision support systems, business intelligence systems, and visual analytics. Lectures are organized around the business intelligence concepts, tools and applications, and online analytical processing for creating visualizations and dashboards, and for business performance management and descriptive analytics. Beyond traditional BI methods, the course introduces predictive modeling techniques such as random forest and gradient boosting, along with appropriate loss functions for evaluating model performance. Students will also explore the foundations of neural networks and deep learning to uncover complex patterns in business data, as well as natural language processing techniques for extracting insights from unstructured textual sources such as customer feedback and internal documents. These advanced approaches enrich the BI toolkit, enabling more accurate forecasts, deeper diagnostics, and smarter operational decisions.