Ecological and economic processes and their modeling
Course: Applied Mathematics
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Ecological and economic processes and their modeling
        
    
            Code
        
        
            ННД.08.
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            7 Semester
        
    
            Number of ECTS credits allocated
        
        
            4
        
    
            Learning outcomes
        
        
            LO 1. Demonstrate knowledge and understanding of basic concepts, principles, and theories of fundamental and applied mathematics and use them in practice.
LO 11. Be able to apply modern technologies of programming and software development, software implementation of numerical and symbolic algorithms.
        
    
            Form of study
        
        
            Distance form
        
    
            Prerequisites and co-requisites
        
        
            To study the course "Environmental and economic processes and their modeling" the student must know the basic concepts of programming, differential equations, general algebra, mathematical analysis, computational mathematics, data analysis.
        
    
            Course content
        
        
            Acquisition of theoretical knowledge and acquisition of practical skills in the use of fundamental algorithms and methods in the construction and implementation of models of environmental and economic processes.
The subject of the discipline "Environmental and economic processes and their modeling" is the study of mathematical models used in ecology and economics, the relationship between the components of the model, the specifics of using algorithms for processing data and analysis of results.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1.	Liashenko І.M., Korobova M.V., Gorіtsina І.A. Modeliuvannia ekonomіchnikh, ekologіchnikh і sotsіalnikh protsesіv. – K.: Vidavnicho-polіgrafіchnii tsentr «Kiїvskii unіversitet», 2010. – 320 s.
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, laboratory classes, independent work.
        
    
            Assessment methods and criteria
        
        
            semester assessment:
1. Test 1: PH 1.1., PH 1.2 - 20 points / 12 points.
2. Test work 2: PH1.3, PH1.4 - 20 points / 12 points.
3. Report: PH 2.1, PH 2.2, PH 2.3 - 12 points / 7 points.
4. Laboratory work: PH 2.1, PH 2.2, PH 2.3 - 48 points / 29 points.
Semester assessment. The work in the semester consists of 2 parts. When setting points for the part, the following is taken into account: the score for the test work - 20 points, the work of students in the classroom - 60 points.
The final control is carried out in the form of a test - 100 points. The test is based on the results of the student's work throughout the semester and does not provide additional assessment activities for successful students.
        
    
            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