The purpose of the discipline is to form students'' practical skills in developing algorithms, programming in a high-level language, studying the basics of algorithmization of tasks and programming technologies in a basic procedural-oriented algorithmic language, mastering the skills of solving engineering problems using application programs, as well as the skills of algorithmization and writing programs for solving problems of the subject area.

This discipline provides for the study of the basic concepts of parallel computing, necessary for the subsequent study of models, methods and technologies of parallel programming. In a simple and understandable form, the course provides examples of modern high-performance computing systems, discusses ways to analyze the complexity of calculations and assess the possibility of their parallel execution, provides the basics of developing parallel methods. The purpose of the discipline is to familiarize students with the totality of information processing tools and personnel combined to achieve certain goals.

The purpose of the discipline is a deep understanding of the principles of object-oriented programming, teaching the use of various technologies of the .NET Framework, Microsoft: LINQ, ADO.NET, WCF, WPF, studying the relationship between classes, developing large software systems using the .NET platform and the C# language. Upon completion of the course, the student will be able to develop software systems using .NET, C#, LINQ, WPF, WCF, MSSQL.

The goal and objectives of the discipline are to study the basics of programming in the high-level programming language Python, the formation of algorithmic thinking, basic concepts of structured programming, the development of students'' logic, to develop skills and abilities to use Python libraries. Learning outcomes: after completing the course, the student should know: the basics of Python programming, basic programming techniques in the Python language, some standard algorithms and regular expressions, as well as additional theoretical questions related to the operation of computing systems and the processing of text data, numbers and strings in Python , data types in Python, graphics in Python, functions and files in Python; be able to: solve problems using branching commands, loop; to design and develop relatively complex applications related to receiving, processing and visualization of various information (stored locally or on the Internet) using an object-oriented approach.