Mastering basic knowledge about the organization and architecture of computers, the mathematical and logical foundations of digital computers, their hardware and software architecture, and methods and techniques for designing simple memory devices. Mastering the skill of programming at the level of a physical machine and programming based on assembly language.

Acquiring the basics for a well-founded expansion and deepening of mathematical knowledge. Acquisition of relevant mathematical concepts in the context of application in the field of computing, with an emphasis on the designand programming of computer software.

Knowledge of basic concepts and conceptual constructs on which imperative programming languages rely; Cognition ways of using imperative programming for software implementation of algorithms of medium level of complexity.

Getting to know the paradigm of functional programming (principles, concepts and theoretical foundations); mastering the art of writing computer programs with a functional programming style in the selected programming language.

Understanding and applying the basic methods of discrete mathematics in computing and their use in the fields of design and algorithm analysis and software engineering.

Getting to know the essential features of data structures and algorithms. Knowledge of the role and importance of the concept of algorithm and concepts of data structure in computer programming. Training to work with basic data structures and algorithms in Java and Python programming languages.

Improving receptive and productive language skills, and achieving precision in expression in different situations and on different topics, i.e. leveling skills at level Cl of the Common European Framework of Reference for Living Languages.

Knowledge of the basic elements of object-oriented programming and the basic principles of programming in software Java language. Building a solid foundation of the object-oriented programming paradigm to build upon in later years of study. Gaining practical experience in the implementation of object-oriented programs in the Java programming language using Java development environment and tools Eclipse and IntelliJ.

Getting to know the concept of a computer operating system and its role in the functioning of a computer. Getting to know the basics concepts and parts, structure, principles of operation, methods of implementation, proper configuration, software maintenance and using the computer operating system in the design of IT solutions.

Acquisition of theoretical and practical knowledge for working with databases, with mechanisms of storing structured data and ways of processing them in order to obtain information for end users. Understanding modeling techniques and mastering SQL language for working with relational databases. Training students to construct and execute inquiries over more tables, under the given logical conditions. Practical mastery of the techniques of administration and maintenance of databases.

Acquisition of theoretical (fundamentals of probability theory, key concepts in statistics), application (selection and application probabilistic models and statistical methods on modeling, analysis, processing, interpretation, learning and thinking about real-life data) and practical programming (specialized python libraries and r programming language) knowledge that is the basis of data science and machine learning.

Acquisition of theoretical and practical knowledge of communication technologies and TCP/IP computer networks required for independent design and maintenance of computer networks with a full understanding of security challenges and the application of comprehensive layered protection.

A deeper understanding of the implementation of the object programming paradigm and a deeper mastery of the skill of object programming, including advanced elements of object-oriented programming. Mastering the C++ programming language.

Mastering basic knowledge in the field of specification, modeling and prototypic realization of complex software products. Creating a software product vision and implementing model-driven software development. Independent specification, modeling and prototyping of selected interactive, GUI-oriented, event-driven software products.

Improving the level of English language skills and developing all language skills of students at a higher intermediate level (B2) towards Cl — according to the Common European Framework of Reference for Languages) with a view to systematizing the existing and then moving to a higher level of knowledge of the language.

Getting to know the concepts and basic principles of quality assurance and software testing. Acquiring competencies for development and implementation of automatic unit tests for programs written in the chosen programming language with usage selected software testing tool. Acquiring knowledge for further training in the field of software testing.

Mastering basic knowledge and skills in the field of methodological aspects of the software process and complex software products (design patterns, architectural patterns, software components and frameworks) and acquisition team software development skills (monitoring of activities and use of advanced elements of handling software configuration).

Mastering the basic knowledge and skills of using relational, multimodel and non-relational data warehouses (NoSQL) to support the persistent layer of complex software products, through project activities.

Mastering theoretical (information architecture) and practical (technologies and development tools) knowledge for client development sides of complex web applications.

Knowledge of the theoretical (resource, information space, generation of the Web) and implementation (technological stack, process development) framework for building Web information systems.

Mastering theoretical and practical knowledge in the field of development of complex Internet-based software systems using patterns of Internet software architectures.

Recapitulation and integration of knowledge and skills in the field of software engineering acquired in the first three years of study and development of "soft" skills.

The main objective of professional practice is to gain professional experience and practical knowledge in the field of software engineering and relevant technologies. The professional practice will enable students to: acquire new and additional skills and knowledge required in the labor market in the field of software engineering that belongs to the student's sphere of interest, adaptation to the working environment, connecting theoretical knowledge and practical experience, orientation towards future employment, as well as defining and refining topics for the final thesis. One of the imperatives of professional practice is to obtain the first recommendations that can pave the way for students to future employment.

Mastering theoretical and practical knowledge in the domain of analysis and synthesis of artificial intelligencesystems by using paradigms of symbolic and sub-symbolic artificial intelligence.

Acquisition of basic theoretical and practical knowledge needed for the design and implementation of applicationsoftware for SAAS model.

Competencies for choosing a problem suitable for solving using software. Competences for architectural design (business, software and technological) software product intended to solve the selected problem. Competencies for software product implementation and presentation (written and spoken) of the achieved result.