The primary objective of the course is to develop a systematic knowledge of database design and management. Students will be trained to construct efficient SQL queries and complex data schemas. The course introduces fundamental data structures used in database indexing and storage. Additionally, it develops essential skills in analyzing and optimizing query performance and database normalization.

Upon successful completion of the course, students will be able to design and develop robust relational databases using industry-standard management systems. They will master the application of both basic and advanced SQL-based algorithms for efficient data processing and retrieval, while implementing complex data structures and schemas tailored to specific computational needs. Furthermore, graduates will be proficient in evaluating the efficiency of database operations through rigorous normalization techniques and performance analysis. Ultimately, students will learn to apply advanced architectural thinking to solve practical challenges in data modeling and information management.

The course is organized according to a modular approach and consists of two logically complete modules.
Module I: Database Foundations and Design, develops the fundamental skills required for conceptual and logical data modeling. This module covers Entity-Relationship (ER) diagrams, relational algebra, and the principles of database normalization to ensure data integrity.
Module II: Advanced SQL and Database Management, focuses on the practical implementation and optimization of data systems. Key topics include advanced SQL querying, transaction management, indexing strategies, and the maintenance of Large Language Models (LLM) for data processing. Each topic includes lectures providing theoretical instruction, laboratory (practical) classes focused on database implementation and query optimization, and independent student work. The final assessment is conducted in the form of a comprehensive database project or a final examination.