Algebra and Geometry
Course: Software Engineering
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Algebra and Geometry
        
    
            Code
        
        
            ННД.11
        
    
            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
        
        
            2 Semester
        
    
            Number of ECTS credits allocated
        
        
            9
        
    
            Learning outcomes
        
        
            PLO01. 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.
PLO05. Know and apply relevant mathematical concepts, methods of domain, system and object-oriented analysis and mathematical modeling for software development.
        
    
            Form of study
        
        
            Distance form
        
    
            Prerequisites and co-requisites
        
        
            To learn the discipline “Algebra and Geometry” the student should satisfy the following requirements.
They know school courses in geometry, algebra and basics of calculus.
They can use the basic apparatus of these disciplines.
        
    
            Course content
        
        
            The subject of the discipline "Algebra and Geometry" is the study of basic methods for solving problems in analytic geometry, methods for solving systems of linear equations, the basic properties of linear spaces. The discipline is a prerequisite for the study of such disciplines "Operations Research", "Functional Analysis" and others.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            3. Charín V.S Líníyna algebra. K: Tekhníka, 2003.
13. B.V. Dovgay, S.S. Shestakov. Kompleksni chisla ta mnogochleni: posibnik do rozv’yazannya zadach . – 2017.- 46 s.
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, practice work, consultations, independent work, test works.
        
    
            Assessment methods and criteria
        
        
            The control of students' knowledge is carried out according to the modular rating system. The results of students' learning activities are evaluated on a 100-point scale.
The work in each semester consists of 2 content modules. When setting points for the content module, the following is taken into account: the grade for the module test - 27 points, the work of students in the classroom - 6 points.
Final control is carried out in the form of an exam - 40 points.
Final score 100 = 2 * 27 + 6 + 40.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Bohdan
                    V.
                    Dovhai
                
                
                    Operations Research  
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
                    Andrii
                    V.
                    Zavorotynskyi
                
                
                    Operations Research  
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
                        Operations Research 
                    
                    
                        Faculty of Computer Science and Cybernetics
                    
                
                        Operations Research 
                    
                    
                        Faculty of Computer Science and Cybernetics