Course: Databases

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Course title Databases
Course code KMI/DATAB
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Trnečka Martin, RNDr. Ph.D.
  • Laštovička Jan, Mgr. Ph.D.
  • Zacpal Jiří, Mgr. Ph.D.
  • Foltasová Eliška, Mgr.
Course content
unspecified

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Oral exam

Recommended literature
  • Braharu D. (2018). Database For Beginners: Relational Database Concepts and Model (Programming courses). Independently published.
  • Connolly Thomas, Begg Carolyn. (2002). Database Systems: A Practical Approach to Design, Implementation and Management. Addison Wesley.
  • Elmasri R., Navathe S. B. (2000). Fundamentals of Database Systems, 3rd edition. Addison Wesley.
  • Johnson James L. (1997). Database Models, Languages, Design. Oxford University Press.
  • Pokorný J. (1992). Databázové systémy a jejich použití v informačních systémech. Academia.
  • Simovici D. A., Tenney R. L. (1995). Relational Database Systems. Academic Press.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Information Technologies (2022) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Winter