Course detail

Database Systems

FAST-NUB017Acad. year: 2024/2025

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.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

Ing. Michal Vojkůvka, Ph.D.

Department

Institute of Computer Aided Engineering and Computer Science (AIU)

Entry knowledge

Basic knowledge and using of operation system especially of filesystem.

Rules for evaluation and completion of the course

Extent and forms are specified by guarantor’s regulation updated for every academic year.

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

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

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

Recommended reading

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

Classification of course in study plans

  • Programme NPC-MI Master's 1 year of study, summer semester, compulsory-optional
  • Programme NPC-SIK Master's 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Michal Vojkůvka, Ph.D.

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

26 hod., compulsory

Teacher / Lecturer

Ing. Michal Vojkůvka, Ph.D.

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.