Computer Science

The Department trains postgraduate and doctoral students in the following specialities:

05.13.06 – Information Technologies. Supervisors: Viktor Makarovych Levykin, Serhii Fedorovych Chalyi, Maksym Viktorovych Ievlanov.

F3 – Computer Science. Supervisors: Kostiantyn Eduardovych Petrov, Viktor Makarovych Levykin, Serhii Fedorovych Chalyi, Maksym Viktorovych Ievlanov, Alina Volodymyrivna Mikhnova.

PhD curricula for the “Computer Science” educational and research programme by year of entry:

• Curriculum 2025
• Curriculum 2024
• Curriculum 2023 (October)
• Curriculum 2023 (March)

Educational and Research Programmes

• Educational and Research Programme 2022

Components of the educational part as listed in the “Computer Science” educational and research programme (2025 revision). Course syllabi are in the «Syllabi» section.

Compulsory

1. Philosophy and Methodology of Modern Science, Problems of Developing Critical Thinking
2. Psychological and Pedagogical Foundations of Research and Teaching Activities
3. Research Methodology
4. Features of Modern Scientific Communication
5. Modern Data Analysis Methods
6. Foreign Language as a Language of Scientific Communication
7. Modern Information Technologies

Plus teaching practice.

Elective

PhD student's free choice, one of:

1. Modelling of Control Objects and Processes
2. Decision-Making and Optimisation in Information Systems and Technologies
3. Neuro-Fuzzy Systems and Evolutionary Learning
4. Pattern Recognition Methods

The list of electives may be extended from the university-wide catalogue of elective courses.

Syllabi of the “CS” educational and research programme are published on the NURE website, on the Department of Postgraduate and Doctoral Studies page, under “Speciality 122, ERP ‘Computer Science’” (the page still uses code 122, the former name of speciality F3).

Syllabi on the NURE website

Syllabi of compulsory courses

• PDFSyllabus “Research Methodology” (Computer Science PhD programme)PDF · 285 KBOpen
• PDFSyllabus “Modern Information Technologies” (Computer Science PhD programme)PDF · 217 KBOpen

• Academic integrityAssessment, integrity and appeals.

Public discussion of the draft programme — students, graduates and employers can leave comments and suggestions.

• Leave feedbackA form for students, graduates and employers.
• What we changed after feedbackResults of discussions and surveys.

The programme is accredited by the National Agency for Higher Education Quality Assurance (NAQA; accreditation case No. 1733/АС-21): accreditation certificate No. 10693 of 7 April 2025 (speciality F3 Computer Science), valid until 31 December 2027 (the term has been extended).

• PDFAccreditation Certificate No. 10693, “Computer Science” PhD ProgrammePDF · 388 KBOpen
• PDFSelf-Assessment Report, “Computer Science” PhD Programme (2021)PDF · 431 KBOpen
• PDFExpert Panel Report on the Accreditation of the “Computer Science” PhD Programme (2021)PDF · 484 KBOpen
• PDFNAQA Accreditation Decision, “Computer Science” PhD Programme (2021)PDF · 46 KBOpen

All accreditation documents are in the «Licensing and Accreditation» section of the NURE website.

Dissertation topics of the department's postgraduate and doctoral students and their supervisors.

Under the supervision of K. E. Petrov, Head of the Department

For the degree of Doctor of Philosophy:

1. Oleksandr Yuriiovych Bozhko — “Models and Methods for Semi-Structured Data Extraction from PDF Documents” (defended on 31 July 2026, specialised academic council ДФ 64.052.051).

Under the supervision of V. M. Levykin

For the degree of Doctor of Technical Sciences:

1. Serhii Fedorovych Chalyi — “Automated Business Process Management. Models, Methods and Technologies.”
2. Oleksandr Yakovych Kuzomin — “Methods, Models and Information Technologies for Monitoring and Mitigating Natural Emergencies.”
3. Ihor Vasyliovych Shevchenko — “Methods, Models and Information Technologies for Monitoring and Optimising the Growth Process of Semiconductor Single Crystals.”
4. Maksym Viktorovych Ievlanov — “Models, Methods and Information Technology for Developing the Architecture of Complex Information Systems Based on Functional Requirements.”

For the degree of Candidate of Technical Sciences:

1. Viktor Petrovych Borysenko — “A Method for Constructing Dialogue Logical-Semiotic Tools for Simulation Modelling of Complex Systems”;
2. Tetiana Ivanivna Borysenko — “Automating the Synthesis of Problem-Oriented Software for Automated Systems”;
3. Oleksandr Yakovych Skliarov — “Multilevel Algorithms for Solving Optimal Control Problems of Dynamic Systems”;
4. Mykhailo Yuriiovych Losiev — “Solving Operational Control and Management Problems Based on Assessing the State of a Production System”;
5. Khamed Madynovych Nahuchev — “Development and Research of a Design Automation System for the Information Base of an Automated Control System (ASU)”;
6. Svitlana Volodymyrivna Kolesnykova — “Algorithmic Support for Operational Production Planning Tasks in Robotic Assembly Manufacturing”;
7. Serhii Ivanovych Lymar — “Development of Hardware and Software Elements for Real-Time Operation in Local Automated Control Systems (ASU)”;
8. Viktor Ivanovych Kauk — “Research and Development of Algorithms for Processing Frequency-Information Signals in Subsystems of Automated Information Processing and Control Systems”;
9. Ihor Volodymyrovych Kobziev — “Models and Algorithms for Automated Management of Repair Production”;
10. Maksym Viktorovych Ievlanov — “Development of Models and Algorithms for Automating the Creation and Maintenance of Document Flow in Organisational Systems”;
11. Oleksii Ihorovych Mikhaievych — “Elements of a Technology for Developing Methods and Forming Algorithms for Solving Automated Control System (ASU) Problems”;
12. Oleksandr Vasyliovych Aidarov — “Problem-Oriented Integrated Technology and Tools for Forming Multi-Criteria Models of Functional Problems in Automated Control Systems (ASU)”;
13. Safvan A. S. Al Salaimekh — “Models and Algorithms for Developing Logistics Information Control Systems”;
14. Mokhammad Mukhairat — “Models, Algorithms and Technology for Developing Distributed Databases of Information Control Systems”;
15. Oleksandr Viacheslavovych Petrychenko — “Models and Algorithms of Goal Programming for Designing Information Systems Databases”;
16. Raisa Artemivna Simkina — “Models and Algorithms of a Decision Support System for Equipment Maintenance and Repair”;
17. Iryna Hryhorivna Krotiuk — “Models and Tools for an Operational Production Management System”;
18. Akhmed Albakhlul — “Models of a Structural-Object Technology for Developing the Interface Complex of a Corporate Information System”;
19. Oleksandr Petrovych Kostenko — “Models and Algorithms of an Information-Analytical Marketing System”;
20. Ihor Vasyliovych Shevchenko — “Models and Tools for Operational Dispatch Management of Quarry Vehicles”;
21. Tetiana Mykhailivna Neofitna — “A Categorical Model and Method for Populating Hierarchical Knowledge Bases of Subject Domains in Automated Systems”;
22. Maryna Serhiivna Kudriavtseva — “Models and Instrumental Tasks for Monitoring and Managing an Electric Power Complex.”
23. Maksym Andriiovych Kernosov — “Models and Information Technologies for Administering the Information Complex of Automated Systems.”
24. Mykola Volodymyrovych Chernenko — “Methods and Information Technology for Integrating Databases of Corporate Systems.”
25. Olha Serhiivna Hnidenko — “Models, Methods and Information Technology of Process-Based Enterprise Management Based on a Balanced Scorecard.”

Under the supervision of M. V. Ievlanov

1. Nataliia Mykolaivna Serdiuk — “Mathematical Models, a Method and Information Technology for Monitoring the Condition of an Enterprise's Production Personnel.”