Course Details

Database Systems

Academic Year 2024/25

NUB017 course is part of 2 study plans

NPC-MI Summer Semester 1st year

NPC-SIK Summer Semester 1st year

Course Guarantor


Language of instruction



4 credits



Forms and criteria of assessment

course-unit credit and examination

Offered to foreign students

Not to offer

Course on BUT site


13 weeks, 2 hours/week, elective


1. Basic concepts, data base management systems, starting principles, database systems classification. 2. Data models, relation as the set and its representation in memory. 3. Relational algebra and calculus. 4. Conceptual modeling, database normalization, E-R diagrams and their transformation into the system data base. 5. Modeling of relationships between entities, primary and foreign keys, associative entities. 6. Data integrity and consistency, referential integrity, methods of enforcement. 7. Basic internal algorithms of databases, indexing, B-trees, hashing, levels of data locking. 8. The language SQL, commands of subsets DDL and DML. 9. Construction of the complex command SELECT. 10. Views, functions, stored procedures and triggers, hosting language T-SQL. Database cursor. Transaction processing and access control. 11. Modern database systems Oracle, MySQL, MS SQL, ISAM systems, network architecture, ODBC interface. 12.–13. Data analysis and implementation of the information system in three tiers architecture.


13 weeks, 2 hours/week, compulsory


1. User environment of the selected data management system. Tools for data structure definition, relationships, and information searching. 2. Configuration of the tables, data types, data interpretation formats, setting of integrity constraints and business rules. 3. SQL SELECT command and its representation in system of forms environment. 4. Data grouping, aggregates, filtering by their properties. 5. Inner and outer data joins, searching in related entities. 6. Commands for SQL data manipulation. Using the relations while data changing. 7. Instruments for configuration of data interpretation. Settings of output data format, data constraints and rules. 8. Using data enumerators and data links for data management. 9. Import and export data, using of public data warehouses, interface ODBC. 10. Working in the environment of the hosting language. Program for batch processing using the database cursor. 11.–12. User interface design for viewing and managing data. 13. Evaluation of individual tasks and knowledge testing.