Course: Computer science
Structural unit: Faculty of information Technology
            Title
        
        
            Code
        
        
            ВК 1.1
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2024/2025
        
    
            Semester/trimester when the component is delivered
        
        
            5 Semester
        
    
            Number of ECTS credits allocated
        
        
            5
        
    
            Learning outcomes
        
        
            Use tools for the development of client-server applications, design conceptual, logical and physical models of databases, develop and optimize queries to them, create distributed databases, data stores and showcases, knowledge bases, including on cloud services, using web languages -programming. Apply knowledge representation models in modern information systems, process audio, video and text information and numerical data, including using neural network technologies.
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            Know the basics of building intelligent systems, knowledge presentation models, reasoning models in artificial intelligence. Be able to analyze information flows, build information-logical and conceptual schemes of the subject environment, design knowledge bases of expert systems. Possess the skills of creating expert systems, the basics of HTML markup.
        
    
            Course content
        
        
            The purpose of the discipline is the formation of a system of professional competence in knowledge management in students, the study of the theoretical foundations of ontology engineering as structural units of knowledge presentation on the Internet, the acquisition of practical skills in the design, implementation and application of ontologies as part of an informational web resource.
The basics of Semantic Web construction and technology, open data LOD, WikiData, DBPedia, Knowledge Graph are considered. A significant part of the course is devoted to the consideration of ontologies, their main components, the definition and description of classes, the technology of development of the ontology of the subject area, the application of descriptive logic in the work with ontologies is considered, the ontology description languages RDF, RDFS, OWL, and the SPARQL query language are considered. The course covers the process of creating ontologies using the Protégé editor.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Planned learning activities and teaching methods
        
        
            Lectures, laboratory work,  individual work
        
    
            Assessment methods and criteria
        
        
            Assessment of students is carried out during the semester for all types of work, including the study of the theoretical material of the course, the performance of laboratory work. To determine the level of achievement of learning outcomes, students present the results of the developed program during the defense of laboratory work reports, answer the teacher's questions, to test the acquired skills, the teacher can give additional tasks that must be implemented by the student during the defense of the work. During the semester, two current written control tests MKR1, MKR2 are conducted. Tests include theoretical material, practical tasks (solving problems) and test tasks.
The condition for receiving a positive final grade in the discipline is to achieve at least 60% of the maximum possible number of points. The maximum number of points that a student can receive for work during the semester is 100 points. The credit is issued to the student based on the results  during the semester. 
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline