FI:PB154 Database Systems - Course Information
PB154 Database Systems
Faculty of InformaticsAutumn 2021
- 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).
- Teacher(s)
- prof. Ing. Pavel Zezula, CSc. (lecturer), doc. RNDr. Vlastislav Dohnal, Ph.D. (deputy)
RNDr. Michal Batko, Ph.D. (seminar tutor)
RNDr. Petra Budíková, Ph.D. (seminar tutor)
doc. RNDr. Vlastislav Dohnal, Ph.D. (seminar tutor)
RNDr. Petr Eliáš, Ph.D. (seminar tutor)
RNDr. Miriama Jánošová (seminar tutor)
RNDr. Vladimír Míč, Ph.D. (seminar tutor)
RNDr. Jakub Peschel (seminar tutor)
doc. RNDr. Jan Sedmidubský, Ph.D. (seminar tutor)
Mgr. Ing. Tomáš Svoboda (assistant) - 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 13. 9. to Mon 6. 12. Mon 14:00–15:50 Virtuální místnost
- Timetable of Seminar Groups:
PB154/02: Fri 17. 9. to Fri 10. 12. each odd Friday 10:00–11:50 B410, M. Batko
PB154/03: Fri 24. 9. to Fri 3. 12. each even Friday 8:00–9:50 B410, P. Budíková
PB154/04: Fri 17. 9. to Fri 10. 12. each odd Friday 8:00–9:50 B410, P. Budíková
PB154/05: Wed 22. 9. to Wed 1. 12. each even Wednesday 10:00–11:50 A319, M. Batko
PB154/06: Wed 15. 9. to Wed 8. 12. each odd Wednesday 10:00–11:50 A319, M. Batko
PB154/07: Wed 22. 9. to Wed 1. 12. each even Wednesday 8:00–9:50 B410, M. Batko
PB154/08: Wed 15. 9. to Wed 8. 12. each odd Wednesday 8:00–9:50 B410, M. Batko
PB154/09: Wed 22. 9. to Wed 1. 12. each even Wednesday 12:00–13:50 A218, J. Sedmidubský
PB154/10: Wed 15. 9. to Wed 8. 12. each odd Wednesday 12:00–13:50 A218, J. Sedmidubský
PB154/11: Wed 22. 9. to Wed 1. 12. each even Wednesday 14:00–15:50 A218, J. Sedmidubský
PB154/12: Wed 15. 9. to Wed 8. 12. each odd Wednesday 14:00–15:50 A218, V. Míč
PB154/13: Tue 21. 9. to Tue 30. 11. each even Tuesday 16:00–17:50 A218, V. Míč
PB154/14: Tue 14. 9. to Tue 7. 12. each odd Tuesday 16:00–17:50 A218, V. Míč
PB154/15: Tue 21. 9. to Tue 30. 11. each even Tuesday 10:00–11:50 B410, M. Batko
PB154/16: Tue 14. 9. to Tue 7. 12. each odd Tuesday 10:00–11:50 B410, M. Batko
PB154/17: Fri 24. 9. to Fri 3. 12. each even Friday 10:00–11:50 B204, V. Dohnal
PB154/18: Fri 17. 9. to Fri 10. 12. each odd Friday 10:00–11:50 B204, V. Dohnal
PB154/19: Tue 21. 9. to Tue 30. 11. each even Tuesday 14:00–15:50 B410, M. Jánošová
PB154/20: Tue 14. 9. to Tue 7. 12. each odd Tuesday 14:00–15:50 B410, M. Jánošová - Prerequisites
- Ability to understend a computer-specialized English text.
- 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
- Image Processing and Analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, B-AP)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, B-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Informatics with another discipline (programme FI, B-EB)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-GE)
- Informatics with another discipline (programme FI, B-GK)
- Informatics with another discipline (programme FI, B-CH)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-TV)
- Informatics (programme FI, B-INF) (2)
- Public Administration Informatics (programme FI, B-AP)
- Informatics in education (programme FI, B-IVV) (2)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Mathematical Informatics (programme FI, B-IN)
- Mathematics with Informatics (programme PřF, N-MA)
- Mathematics (programme PřF, B-MA)
- Parallel and Distributed Systems (programme FI, B-IN)
- Lower Secondary School Teacher Training in Technology and IT Education (programme PdF, B-SPE)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Graphics and Image Processing (programme FI, B-IN)
- Computer Networks and Communication (programme FI, B-IN)
- Computer Networks and Communications (programme FI, N-PSKB)
- Computer Systems and Data Processing (programme FI, B-IN)
- Principles of programming languages (programme FI, N-TEI)
- Programming and development (programme FI, B-PVA)
- Programmable Technical Structures (programme FI, B-IN)
- Embedded Systems (programme FI, N-IN)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Teacher of Informatics and IT administrator (programme FI, N-UCI)
- Informatics for secondary school teachers (programme FI, N-UCI) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Natural language processing (programme FI, N-UIZD)
- 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 are given in Czech, but teaching materials are in English. In seminars, materials in Czech are used exclusively. Selected parts of the lecture are exercised in seminars.
- Assessment methods
- Lectures are given weekly. Seminars are given in a fortnight cycle. There are usually five seminars plus consultation. Presence at seminars is not mandatory. The course is completed with a written exam consisting of ten tasks. Each task is graded with 6 points at maximum. The minimum of 30 points is required to pass the exam. Before sitting for the exam, the student must pass a credit test. It contains eight tasks in each a correct answer out of four options must be selected. A correct answer is graded with +3 points and an incorrect answer is graded with -1 point. The minimum to pass the test is 10 points.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- PA195 NoSQL Databases
PB154 || PB168 - PB168 Introduction to DB and IS
!PB154 && !NOW(PB154)
- PA195 NoSQL Databases
- Enrolment Statistics (Autumn 2021, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2021/PB154