Organization of databases and knowledge

Course: Software Engineering

Structural unit: Faculty of Computer Science and Cybernetics

Title
Organization of databases and knowledge
Code
ННД.18
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
6
Learning outcomes
LO01. Analyze, purposefully search for and select the necessary information and reference resources and knowledge to solve professional problems, taking into account modern advances in science and technology. LO05. Know and apply relevant mathematical concepts, methods of domain, system and object-oriented analysis and mathematical modeling for software development LO10. Conduct a pre-project survey of the subject area, systematic analysis of the design object. LO13. Know and apply methods of algorithm development, software design and data and knowledge structures design. LO18. Know and be able to apply information technologies for processing, storage and transmission of data
Form of study
Full-time form
Prerequisites and co-requisites
Know the theoretical foundations of discrete mathematics, algebra, algorithm theory and mathematical logic. Knowledge of programming technologies especially in the field of file management.
Course content
"Organization of databases and knowledge" is an important discipline in the sense of acquiring theoretical and practical knowledge in one of the most relevant areas of information technology today, related to databases and knowledge bases. The purpose and task of the discipline is to get acquainted with one of the main scientific and technological areas in the field of computer technology "Organization of databases and knowledge" and master the technology of processing large amounts of data.
Recommended or required reading and other learning resources/tools
1. Pasichnyk V.V., Reznichenko V.A. Informatcini systemy ta bazi danih. – K.: Vidavnicha grupa BHV, 2006. – 384 s. 2. Date K. Vvedenie v sistemy baz danih. Dialektika. 1988, 1999. 3. Ulman J. Osnovy sistemy baz danih. Finansy I statistika. 1983. 4. Dribas V.P. Reliatsionnie modeli baz danih. Izd-vo BGU. Minsk.1982. 5. Praktikum dlia laboratornih robit z kursu baz danih na osnovi MS Access 2003. Uporiad. A.V. Anisimov, V.V.Zubenko, O.P.Kuliabko. VPTS “Kijvskiy universitet”, 2007. – 192 s.
Planned learning activities and teaching methods
Laboratory work, control jobs.
Assessment methods and criteria
Semester assessment: 1. Active work on lectures, oral answers: PH1.1, PH1.2, PH1.3, PH1.4 - 3 points / 1.8 points; 2. Execution of tasks assigned to independent work: PH2.1, PH2.2, PH2.3, PH2.4 - 2 points / 1.2 points; 3. Test work 1: PH1.1, PH1.2 - 12 points / 7.2 points; 4. Test work 2: PH1.3 - 15 points / 9 points; 5. Test work 3: PH1.4 - 13 points / 7.8 points; 6. Execution of laboratory work: PH2.1, PH2.2, PH2.3, PH2.4 - 15 points / 9 points. Final assessment (in the form of an exam): - the maximum number of points that can be obtained by a student: 40 points; - learning outcomes that will be evaluated: PH1.1, PH1.2, PH1.3, PH1.4; - form and types of tasks: written work.
Language of instruction
Ukrainian language

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline