PB154 Database Systems

Faculty of Informatics
Autumn 2025
Extent and Intensity
2/1/0. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
In-person direct teaching
Teacher(s)
prof. Ing. Pavel Zezula, CSc. (lecturer)
doc. RNDr. Jan Sedmidubský, Ph.D. (lecturer)
RNDr. Michal Batko, Ph.D. (seminar tutor)
doc. RNDr. Jan Sedmidubský, Ph.D. (seminar tutor)
Mgr. Iveta Vidová (seminar tutor)
Guaranteed by
prof. Ing. Pavel Zezula, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. Ing. Pavel Zezula, CSc.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Mon 22. 9. to Mon 15. 12. Mon 10:00–11:50 A217
  • Timetable of Seminar Groups:
PB154/01: Fri 26. 9. to Fri 19. 12. each odd Friday 10:00–11:50 A218, M. Batko
PB154/02: Fri 3. 10. to Fri 12. 12. each even Friday 10:00–11:50 A218, M. Batko
PB154/03: Tue 23. 9. to Tue 2. 12. each odd Tuesday 14:00–15:50 A319, M. Batko
PB154/04: Tue 30. 9. to Tue 9. 12. each even Tuesday 14:00–15:50 A319; and Tue 16. 12. 14:00–15:50 A319, M. Batko
PB154/05: Tue 23. 9. to Tue 2. 12. each odd Tuesday 12:00–13:50 A218, M. Batko
PB154/06: Tue 30. 9. to Tue 9. 12. each even Tuesday 12:00–13:50 A218; and Tue 16. 12. 12:00–13:50 A218, M. Batko
PB154/07: Tue 23. 9. to Tue 2. 12. each odd Tuesday 14:00–15:50 A218, J. Sedmidubský
PB154/08: Tue 30. 9. to Tue 9. 12. each even Tuesday 14:00–15:50 A218; and Tue 16. 12. 14:00–15:50 A218, J. Sedmidubský
PB154/09: Tue 23. 9. to Tue 2. 12. each odd Tuesday 10:00–11:50 A319, J. Sedmidubský
PB154/10: Tue 30. 9. to Tue 9. 12. each even Tuesday 10:00–11:50 A319; and Tue 16. 12. 10:00–11:50 A319, J. Sedmidubský
PB154/11: Mon 22. 9. to Mon 15. 12. each odd Monday 12:00–13:50 A319, J. Sedmidubský
PB154/12: Mon 29. 9. to Mon 8. 12. each even Monday 12:00–13:50 A319, J. Sedmidubský
PB154/13: Mon 22. 9. to Mon 15. 12. each odd Monday 18:00–19:50 A319, I. Vidová
PB154/14: Mon 29. 9. to Mon 8. 12. each even Monday 18:00–19:50 A319, I. Vidová
Prerequisites
!NOW( PB168 Introduction to DB and IS )
PB168 is a similar course designed primarily for career-oriented or multidisciplinary study in Computer Science.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
The goal of the course is to teach students principles of database systems.
Learning outcomes
On successful completion of the course the student will be able:
to formulate reasons for using database systems;
to understand basic principles of database systems;
to describe ways of indexing data;
to design a database schema;
to create queries for retrieving data.
Syllabus
  • Introduction, terminology
  • Entity-relationship model
  • Relational model
  • Query language SQL
  • Integrity constraints
  • Relational database design
  • Storage and file structures
  • Indexing and hashing
  • Query processing
  • Transaction management
  • New trends in database systems
Literature
    recommended literature
  • SILBERSCHATZ, Abraham; Henry F. KORTH and S. SUDARSHAN. Database system concepts. 5th ed. Boston: McGraw-Hill, 2006, xxvi, 1142. ISBN 0072958863. info
Teaching methods
Lectures and seminars (lectures/seminars as well as teaching materials are in Czech). In seminars, selected parts of the lectures are exercised.
Assessment methods
Lectures are given weekly. Seminars are given in a fortnight cycle. There are usually six seminars. Presence at seminars is not mandatory. To pass a course, one must first successfully pass a credit test verifying practical knowledge from the exercises and then successfully pass a final exam test verifying knowledge from the lectures. The final evaluation is the sum of the points for the credit test and the exam test.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2025/PB154