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
2023/2024
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
Distance form
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

Departments

The following departments are involved in teaching the above discipline

Department of Statistics, Information and Analytical Systems and Demography
Faculty of Economics