Courses | Academic Page

Business Intelligence

Sat, 18 Jul 2026 12:00:00 +0200

Students learn to utilize methods and technologies enabling data collection, consolidation, and archiving for organizations, create dashboards, and manage decision-making projects, supporting strategic organizational management through business intelligence approaches.

The course covers decisional architectures, agile BI project management (Scrum, user stories), dashboard and indicator design, and dimensional modeling: fact tables, dimensions, granularity, star and snowflake schemas, slowly changing dimensions, and bridge tables.

Data Engineering Foundations

Sat, 18 Jul 2026 12:00:00 +0200

Students design and implement scalable database solutions across relational and alternative paradigms (document, semantic), and build robust data pipelines for ETL processes, applying best practices in data governance, security, and environmental considerations.

The course project has students design an end-to-end ELT pipeline, including data transformation, quality validation, vector database deployment for RAG systems, and CI/CD implementation.

Data Science Toolkit and Applications

Sat, 18 Jul 2026 12:00:00 +0200

Students apply best practices in software development to data science workflows, and design and implement end-to-end data science projects using industry-standard tools.

The curriculum spans data analysis fundamentals and exploration, a complete data science pipeline implementation, and natural language processing applications. Evaluation centers on a machine learning case study submitted as a public GitLab project, which serves as portfolio material for ongoing studies.

Data Storytelling

Sat, 18 Jul 2026 12:00:00 +0200

A course on the ability to visualize data and create narratives with it, to transform data into actionable information that supports decision-making. The curriculum, primarily based on Cole Nussbaumer Knaflic’s Storytelling with Data: A Data Visualization Guide for Business Professionals (Wiley, 2015), covers the importance of context, choosing an effective visual, eliminating clutter, focusing audience attention, and design thinking and storytelling techniques.

Databases

Sat, 18 Jul 2026 12:00:00 +0200

A five-session introduction to database management systems, for students on systems engineering, application development, and database specialist tracks: relational model and data integrity, advanced SQL queries and security (via a gamified escape-game session), functional dependencies and normalization theory, conceptual modeling with UML, and object-oriented persistence programming interfaces.