Learning outcomes. Graduates will:

1. Understanding of conceptual basics of informatics and abilities to apply the above knowledge in designing, developing, and implementing software systems.
2. Abilities to choose and to use the software system designing, developing, quality assurance and testing methods.
3. Abilities to choose corporate information and communication technology systems; operating systems; safety measures and to apply when implementing specific software system tasks and functions as well as the user interface.
4. Mastering knowledge of algorithms and data structures, semantics and carcasses of programming languages, software designing tools and technologies; ability to apply different programming methodologies.
5. Knowledge of software system engineering, planning, methods of organization, legal and regulatory documents governing cyber security and data and information safety, and abilities to ensure software systems safety.

Research Abilities

6. Abilities to collect and systematize an information, to apply of research methods – visualization, computer simulation and practice tests, and to develop a model of the system features.
7. Will  analyze the needs of software system and its subject field, will propose the best technology for solution, and will prepare the specifications of technical requirements. 
8. Economical and financial substantiation of software system projects.

Special abilities

9. Applying different system design and modelling methods and tools, preparing project documentation for software systems and software. 
10. Ability to apply different programming paradigms, algorithms, and software carcasses; employ software designing tools and technologies.
11. Analysis and assessment of software systems, identification of faults and their elimination, ability to develop testing scenarios, test software, assess testing results, and present findings.
12. Ability to use software system maintenance technologies and ensure the safety of software systems and information.
13. Will know variety of data structures and algorithms applied for their processing and analysis, and use such knowledge for database and software designing.
14. Will be able to apply the knowledge about IoT technologies for software design and realization of tasks or functions of the specific control systems.
15. Will be able to analyse and simulate business processes by applying artificial intellect methods and agents technology to design software systems.

Social skills

16. Planning and organisation of activities implementing a software system’s project, using of legislation and regulation documents for making decisions related to the operation, and taking responsibility for the quality of own work and for the one of the subordinated persons.
17. Working individually and in a team or a multicultural environment and following professional ethics.

Personal skills

18. Unfolding of professional abilities through self-study and planning of the learning process.
19. Analysing and evaluating their activities and their impact on the results of social and economic well-being.

Learning outcomes. Graduates will:

understand the conceptual basics of informatics and abilities to apply the above knowledge in designing, developing, and implementing software systems;choose and use the software system designing, developing, quality assurance and testing methods; corporate information and communication technology systems; operating systems; safety measures and to apply when implementing specific software system tasks and functions as well as the user interface;

have knowledge of algorithms and data structures, semantics and carcasses of programming languages, software designing tools and technologies; ability to apply different programming methodologies;have knowledge of software system engineering, planning, methods of organization, legal and regulatory documents governing cyber security and data and information safety, and abilities to ensure software systems safety.

Language of instruction: English and Lithuanian

Students’ subject learning outcomes are assessed using criteria ten-point assessment scheme. Respectively, one or several assessment criteria for study achievements are formulated. Assessment criteria are the basis for preparation of knowledge evaluation tasks of various forms, because the execution of the latter allows the drawing conclusions about the level of achievement of the learning outcomes. Assessment procedure, assessment system and assessment criteria are based on the principles of consistency, reliability, clarity, usefulness and impartiality. For the assessment of student’s study subject achievement, accumulative (learning outcomes are assessed by means of intermediate knowledge assessments) or collegial (in case of graduation paper, students are examined by a competent commission consisting of scientists, professional practitioners, and representatives of social partners) assessment is used.

The courses related to the Software Systems are taught by 1 Professor and 13 PhDs and foreign language professionals-practitioners, who continuously improve their competences in traineeships abroad, actively participate in international projects, carry out scientific research, deliver presentations at international conferences, lecturing at universities of applied sciences abroad, write articles in international scientific journals, and prepare methodological resources.

General courses and courses related to the field of IT are taught by practitioners who work in public and private sector organisations and share their experience with students. 

There were 11 foreign lecturers in 2020 – 2023 academic year, doing research teaching students. Guest lecturers from foreign universities contribute to the variety of skills and knowledge at KK Technology faculty. Students can gain experience in their study programme from guest lecturers from Belgium, USA, Hungary, Finland, and others.

Interactive theory lectures: explanation during lectures along with analysis of practical examples, demonstration of method application, discussion, seminar, group-work, brainstorming, and case analysis. Practice in computer classrooms, laboratory and practical works, solving of practical tasks, interactive solving of tasks, analysis of drawings, laboratory works in a virtual laboratory, report of laboratory and practical work, practical test tasks, and application of knowledge about the limits of laboratory equipment application. Project preparation under the teacher’s consultation, self-study, work report, presentation and defence. Self-study: report, presentation, demonstration, self-check tests, self-study of scientific literature.