Основи програмування (Python)
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
            Title
        
        
            Основи програмування (Python)
        
    
            Code
        
        
            1.11
        
    
            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
        
        
            2 Semester
        
    
            Number of ECTS credits allocated
        
        
            5
        
    
            Learning outcomes
        
        
            PLO 6 Apply appropriate economic-mathematical and statistical methods and models to solve economic problems
PLO 12 Identify sources of information and understand the methodology for determining and methods of obtaining socio-economic data, collect and analyze the necessary information, calculate economic and social indicators.
PLO 13 Be able to work both independently and in a team
        
    
            Form of study
        
        
            Prerequisites and co-requisites
        
        
            1. understanding the essence of the basics of linear algebra, discrete mathematics, mathematical analysis;
2. ability to use standard software, install software, ability to work in a team, perform team roles, report and defend team development;
3. possession of basic skills in using computer technology, the Internet, search engines, Word, Excel, Power Point, etc .
        
    
            Course content
        
        
            The course is devoted to the study and mastery of basic programming skills: learn to deploy a programming environment, understand basic data types, operations and learn to use them, understand how code interpretation works and learn to control the direction of the interpreter, get a basic understanding of object-oriented programming. the path to mastering professions related to programming.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Planned learning activities and teaching methods
        
        
            The purpose of the discipline is to form the necessary theoretical knowledge and practical skills that will allow the effective use in practice of the Python programming language at a level that would meet the requirements for the training of highly qualified bachelors.
        
    
            Assessment methods and criteria
        
        
            Forms of student assessment: (max. Points 60 / min. Points 36)
Execution of laboratory works, presentation and defense of independent individual work - 60 points / 36 points;
- final assessment in the form of an exam
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Bohdan
                    
                    Patsai
                
                
                    Department of Statistics, Information and Analytical Systems and Demography 
Faculty of Economics
            Faculty of Economics
Departments
The following departments are involved in teaching the above discipline
                        Department of Statistics, Information and Analytical Systems and Demography
                    
                    
                        Faculty of Economics