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

Database technology, terminology, data models, relational concept, relational algebra and calculus.
Conceptual modeling, E-R diagrams, normal forms of the design. Data consistency and integrity.
Non-procedural language SQL and QBE, commands for creating and maintaining data structures, data manipulation and retrieval of information.
Basic algorithms of database engines.
Classification of database systems, network architectures, interface ODBC
Hosting language T-SQL, database cursor, stored procedures, functions and triggers.
Data analysis, information systems design, introduction to process analysis.
Example of information system in the three-layer technology and ISAM type system.

Credits

4 credits

Language of instruction

Czech

Semester

summer

Course Guarantor

Ing. Michal Vojkůvka, Ph.D.

Institute

Institute of Computer Aided Engineering and Computer Science

Forms and criteria of assessment

course-unit credit and examination

Entry Knowledge

Basic knowledge and using of operation system especially of filesystem.

Aims

Basic principles of database technology explained on chosen database management system. Design and implementation of a simple database application.
Knowledge for design and implementation of simple database application

Basic Literature

RIORDAN, R. M. Vytváříme relační databázové aplikace, Computer Press, Praha, ISBN 80-7226-360-9 (cs)
Bruckner, Tomáš a kol.Tvorba informačních systémů, Grada Publishing, 2012, ISBN 978-80-247-4153-6 (cs)

Recommended Reading

Steven Roman, MS ACCESS Návhr a programování databází, Computer Press, 2002 (cs)

Offered to foreign students

Not to offer

Course on BUT site

https://www.vut.cz/en/students/courses/detail/282074

Lecture

13 weeks, 2 hours/week, elective

Syllabus

  • 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.

Exercise

13 weeks, 2 hours/week, compulsory

Syllabus

  • 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.