FMPIT

Addresses: Odessa, st. Dvoryanskaya, 2 - The main building of ONU

 

Dean of the Faculty of MPIT: Nitsuk Yurii Andriiovych Doctor of Physical and Mathematical Sciences,
Professor This email address is being protected from spambots. You need JavaScript enabled to view it.

Strakhov Evgeniy Mikhailovich candidate of physical and mathematical sciences. Sci., Associate Professor Deputy dean for specialties Mathematics; Applied Mathematics Phone: +38 (048) 723-82-00 Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Martynovych Larysa Yaroslavivna,
Senior Lecturer, Deputy dean for specialties Computer Engineering; Information Systems and Technologies; Computer Sciences e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. Phone: +38048-723-12-23

 Dear Colleagues, Graduates, Students and Applicants!

Faculty of Mathematics, Physics and Information Technologies of the Odessa I.I. Mechnikov National University is an educational institution that, on the one hand, preserves the best traditions of the classical university, and on the other hand, it also supplements them with modern high-level teaching approaches, both theoretical and practical, which allows our graduates to be competitive in the labor market.

Today the faculty employs more than 30 doctors of science, professors and more than 100 candidates of science, associate professors. Our teachers annually participate in all-Ukrainian and international conferences, seminars and various round tables. Every year, the university publishes textbooks, methodological guides, monographs, prepared by the faculty's faculty. The scientific work of faculty teachers is published in the leading world publications, which are part of the Scopus and Web of Science databases.

A lot of attention is paid to young scientists who study in postgraduate and doctoral studies. Specialized councils for the protection of Ph.D. theses in mathematics, doctoral dissertations in physics and astronomy work at the faculty.

Such a high level of preparation allows the students of FMPIT to take prizes at Ukrainian and international olympiads. Among them: the VIII International Student Olympiad in Mathematics (Prague), where for the first time in the history of Ukraine student Metelichenko A. received the Grand Prix and the possibility of studying in the graduate school in the UK. Almost all participants of the International Olympiads were awarded diplomas of I-III degrees. This year our students took the 4th place in the semi-final of the world championship in sports programming ACM ICPC in the South-Eastern European region SEERC-2012 ACM ICPC. In addition, significant results were obtained at the All-Ukrainian student olympiads in mathematics (three years in a row the absolute first place was fought), physics and astronomy. Physics students annually receive diplomas of winners at the All-Ukrainian competition of student scientific works. Students and young scientists from FMFIT receive scholarships each year from the President of Ukraine, the Verkhovna Rada of Ukraine and the Cabinet of Ministers of Ukraine, scholarships in various fields of knowledge: mathematics - the A.M. Lyapunov, physicists - N.N. Bogolyubov, astronomy - G.A. Gamow.

Our students constantly take an active part in scientific conferences and seminars both in Ukraine and abroad; grants are awarded for studies at European universities in the Erasmus + program (among them - the Aston and Kiel universities, the United Kingdom, the University of Paris IV and the University of Montpellier, France, the University of Algarve, Faro, Portugal, the University of Würzburg, Germany, Aristotle University, Thessaloniki Greece, University of Linkoping, Sweden, Adam Mickiewicz University, Poznan and Jagiellonian University, Krakow, Poland, Electrotechnical University of the Slovak Academy of Sciences, Slovakia, Vilnius University, Lithuania, Universities of Riga Daugavpils, Latvia). Students and teachers of the faculty have the opportunity to conduct their research in leading European universities within the framework of the EU-NATO cooperation program.

Some of our students are candidates and masters of sports and defend the honor of ONU at sports competitions of various levels.

Graduates of the faculty work in various spheres of human activity. Many of them continue the glorious traditions of their teachers, passing on to their new generations their experience. Others - realize their knowledge in government institutions, large domestic and foreign companies, financial institutions and consulting firms, in their own business and the like.

Today FMPIT has more than 500 students, among them foreign students from different countries are trained.

Students at the Faculty of MPIT are trained in the specialties:

  • 104 Physics and Astronomy
  • 105 Applied physics and nanomaterials
  • 111 Mathematics
  • 113 Applied Mathematics
  • 123 Computer Engineering
  • 126 Information Systems and Technologies

Training in these specialties is carried out by high-level specialists who work at the departments of the I.I. Mechnikov Odessa National University.

Training at the Faculty of MPIT is:

  • a high level of training aimed at training highly qualified personnel;
  • individual approach to students;
  • participation in real projects, master classes and business trainings, electives;
  • internships in Ukrainian and foreign companies, public and private institutions;
  • meetings with leading Ukrainian and foreign specialists working in various industries and services;
  • high results in International and All-Ukrainian Competitions;
  • participation in international cooperation;
  • participation in scientific research;
  • busy student life;
  • prestigious work for children who successfully completed their studies at the Faculty of Mathematics, Physics and Information Technologies of the Odessa National University named after II. Mechnikov

I wish you all the achievements of the set goals in science, creativity, in all your endeavors.

Yours faithfully,
Dean of the Faculty of Mathematics, Physics and Information Technologies of I.I. Mechnikov Odessa National University 
Nitsuk Yurii Andriiovych

Page for Entrants FMPIT

Faculty of Mathematics, Physics and Information Technology
(FMPIT)

OUR SPECIALTIES:

  • 104 Physics and Astronomy (Bachelor, Full-time)
  • 105 Applied physics and nanomaterials (Bachelor, Full-time)
  • 111 Mathematics (Bachelor, Full-time, Distance)
  • 113 Applied Mathematics (Bachelor, Full-time)
  • 123 Computer Engineering (Bachelor, Full-time, Distance)
  • 126 Information systems and technologies (Bachelor, Full-time, Distance)
  • 104 Physics and Astronomy (Master, Full-time)
  • 105 Applied physics and nanomaterials (Master, Full-time)
  • 111 Mathematics (Master, Full-time, Distance)
  • 113 Applied Mathematics (Master, Full-time)
  • 123 Computer Engineering (Master, Full-time)
  • 126 Information systems and technologies (Master, Full-time, Distance)

Faculty of Mathematics, Physics and Information Technology at Odessa I. I. Mechnikov National University is the largest scientific center in South Ukraine and the only one in this region for training highly qualified personnel, PhD and Doctors of Science in Physics and Mathematics, in a number of mathematical and physical specialties.

Basic courses are lectured to students by full and associate professors. Most of them are doctors in physical and mathematical sciences and represent mathematical and physical schools well-known in both Ukraine and abroad.

  • Specialty 104 Physics and Astronomy

    Specialty Physics and Astronomy (104) prepares specialists with contemporary knowledge in physics, astronomy, electronics, and programming. Modern physics advances in the fields of nanomaterials, optics and quantum electronics, atomic nuclei, alternative energy sources, energy-saving technologies, near-Earth space, stars, and galaxies involve modern computer technologies and provide a basis for further development of scientific and technological progress. Experience in the elaboration of physical models of real world is transferred to any field in information technology - from search engines to the banking sector. In many life circumstances, a person who knows and understands physics can use his/her analytical thinking skills to find simple solutions to complex problems.

    Since ancient times, starry sky has attracted a human being’s attention by its beauty and harmony. The heavenly bodies’ motion was observed to measure time and check the travel direction; or mysterious scintillation was simply admired. The beauty and harmony have remained up to now; and they have also become enriched by the beauty of mathematics and physics the man discovered in the star world. The universe is a unique physical laboratory, the richest one in energy ranges and the number of experiments. It makes possible studies of the matter under extreme conditions, including those unreachable in the Earth-based laboratories. Modern astronomy explores celestial objects - from the anomalies of motion of artificial satellites near the Earth to the mysterious quasars on the edge of the visible part of the universe. In modern astronomy, the motion of elementary particles is associated with the features of the largest formations of the universe - large walls comprising hundreds of thousands of galaxies, not smaller than our Milky Way.

    It is a distinctive feature of modern astronomy to deal with large volumes of scientific information in digital formats. Astronomers work with databases and use up-to-date software products to process astronomical observations and model space objects. The modern specialist in astronomy should be well-oriented in the modern information world, correctly pose and solve scientific and applied problems in any field, and be capable to apply information technology together with physical methods to solve various scientific, production and technical problems.

    Specializations:

    • Physics;
    • Astronomy.

    Employment opportunities

    • Scientists at research institutions, research-and-production enterprises, computing and analytical centers, astronomical observatories and national space agencies;
    • Teachers in physical and technical disciplines at higher and secondary educational institutions;
    • Engineers, scientists, consultants, and experts at control and management organizations, executive authorities, law enforcement agencies, environmental monitoring centers, banks, consulting companies, advertising agencies, PR and IT companies.
  • Specialty 105 Applied Physics and Nanomaterials

    The specialty of Applied Physics and Nanomaterials (105) is focused on the training of specialists qualified to apply physical methods, processes and technologies in appliances, systems and methods of modern medicine, pharmacology and technology of creating biocompatible materials. The development of modern medicine is impossible without the employment of complex medical appliances and systems that operate on the basis of known physical phenomena and processes and use computer technologies for processing, representing and storing information. Medical diagnostics are based on recording both the physical fields in the human body and the interaction of external physical fields with the body. The knowledge of latest achievements in physics, electronics, nano- and optoelectronics, modern programming techniques and communication technologies allows the medical physicist to succeed in developing new instruments, diagnostic and therapeutic systems, and to ensure their proper functioning and upgrading. Of particular importance is the training of physicists-scientists qualified to plan and conduct scientific research, interpret their results, transform scientific developments into competitive goods and services, and distribute them among medical and biological institutions.

    Specializations:

    • Medical Physics;
    • Physics and Technology of Nanomaterials.

    Employment opportunities

    • Medical equipment engineers at diagnostic and therapeutic medical institutions;
    • Research staff at industrial laboratories, institutes and research-and-production centers for development of new medical equipment and systems;
    • Experts on new medical developments based on physical methods, processes, and technologies;
    • Managers and representatives of manufacturing companies for implementation, maintenance and promotion of new medical equipment on the market;
    • Engineers and researchers at institutes, universities, and industrial enterprises for development, production and practical implementation of new nanomaterials.
  • Specialty 111 Mathematics

    A mathematician is a highly intellectual profession and their work has comprehensively applied significance today. Mathematical methods of research are implementing now in almost all sciences, fields of knowledge and areas of activity.

    Within the bachelor and master programs "Mathematics" in ONU, we train specialists in the field of data analysis and operations research, employees of banking, financial and analytical organizations. Deep and solid mathematical background, ability to build and analyze mathematical models in various applied fields (information technology, physics, chemistry, biology, medicine, ecology, economics, business, finance, management, etc.), ability to get new knowledge quickly and easily, navigate the information flow are important advantages of our graduates.

    Our students study fundamental mathematical courses, economic classes, as well as data science. There are workshops and elective courses with the participation of IT companies. International exchange programs for students such as Erasmus+, Global UGRAD, Fulbright are available.

    Career opportunities

    • analyst, business analyst, financial analyst, quantitative analyst, marketing analyst, consulting analyst, management analyst
    • operations research analyst
    • data scientist
    • machine learning engineer
    • career in academia
    • researcher
  • Specialty 113 Applied Mathematics

    Download the booklet

    it is a branch of mathematics that deals with mathematical methods that find use in science, engineering, business, computer science, industry and so on (that is, “in applications”). Thus, applied mathematics is a combination of mathematical science and specialized knowledge. Nowadays, solving a variety of complicated problems is not just about knowledge and understanding of modern technologies. You cannot construct a qualitative mathematical model, choose a rational algorithm to solve it, or make computer implementation of a model without profound mathematical knowledge, abstract and non-standard thinking.

    Students of the specialty "Applied Mathematics" get knowledge of fundamental mathematical disciplines, modern programming languages and software development technologies, mathematical modeling and system analysis, data analysis and machine learning. There are workshops and elective courses with the participation of IT companies. International exchange programs for students such as Erasmus+, Global UGRAD, Fulbright are available.

    What are the advantages of education in applied mathematics?

    • solid mathematical background
    • ability to use mathematical methods in various applied fields (economics, finance, business, technology, biology, medicine, ecology)
    • mastery of modern programming languages
    • knowledge and understanding of information technology
    • ability to find a rational solution to any practical problems
    • ability to learn new things quickly, navigate the information flow
    • ability to "see further than others"
    • opportunity to change our world for the better

    What are my career opportunities?

    • software developer, software architect
    • data scientist
    • machine learning engineer
    • quality assurance engineer
    • project manager
    • database administrator
    • system administrator
    • analyst, business analyst, financial analyst, quantitative analyst, marketing analyst, consulting analyst, management analyst, actuary
    • operations research analyst
    • career in academia
    • researcher

    Specialty - applied mathematics (113) with specialization in theoretical and applied mechanics, has always been the foundation of applied sciences. For the mechanics of our days, the wide application of a wide variety of mathematical and physical knowledge, including the newest sections of applied and computational mathematics, modern programming systems, is characteristic. Students of ONU studying in the specialty "Theoretical and Applied Mechanics" study in-depth computer simulation of physical-mechanical processes using 3D graphics.

    Main directions of training:

    • design and development of applied software for PC;
    • mathematical and computer modeling of physical processes and phenomena (numerical experiment)
    • computer two- and three-dimensional visualization of mechanical movements of bodies and moving continuous media;
    • development of mathematical methods and algorithms for solving resource-intensive tasks using parallel computing on a computer;
    • scientific research and computer reproduction of technogenic situations in industrial production.

    Variants of employment

    - software development companies; specialists in computer modeling and solving scientific and technical problems of real production.

    For the entrants there is a consultative center "Open public mathematical consultations". Tel. for reference (048) 718-54-64

  • Specialty 123 Computer Engineering

    The sphere of professional activity of the Computer Engineering (123) graduates is a branches of science and technology, covering a set of problems related to the design and creation of hardware and software for information computer systems and networks of general or special purpose, the development of mobile applications and the Internet of Things, the digital-program control systems creation.

    The objects of professional activity of the graduate with a degree in Computer Engineering are:

    • design, development and administration of computer systems and networks;
    • development and maintenance of system and application software of modern computer systems and networks;
    • design and operation of automated systems for managing social and economic entities;
    • designing network information systems using knowledge of architecture, protocols and basic functioning principles of information systems to the Internet;
    • analytics of computer systems and networks;
    • protection of computer systems and information transfer in computer network.
    • processing and encoding digital signals;
    • mobile application development;
    • development of systems based on controllers;
    • development and programming devices of the Internet of Things;

    Graduates of the "Computer Engineering" receive profound and comprehensive knowledge in design, development, operation, system and application programming of complex computer systems: distributed computer systems, devices and systems of the Internet of Things, local, global and corporate computer networks, oriented to support of current information and administrative tasks decision in various fields of activity.

    The special feature of the Computer engineering training in classical University is an upscale programming school plus a fundamental background in discrete mathematics and cryptology.

    2 lines of the training (without displaying in a diploma):

    Line 1. Mathematical support of computer systems

    In-depth study of mathematical methods and processes of structuring, exchanging, manipulating and analyzing technical, financial, medical and other information for solving problems of computer systems and networks creating, system and application software development, providing quick and high-quality information support for management decisions, improving the technical, economic and social systems management.

    Line 2. Computer Algebra: Cryptology and Information Coding

    In-depth study of mathematical methods and technologies of information security, cryptography, steganography and cryptanalysis, unjammable coding of signals and data transmitted via communication channels or networks, stored in computer systems of general or special purpose.

    Graduates are leading developers of enterprise networks and systems, system and application software, heads of computer and information technologies departments in various companies, state organizations, banks.

    Qualification of the graduate:

    • Bachelor – "Software Developer", "Computer Systems Developer"
    • Master – "Professional in the field of Computer Technology"
  • Specialty 126 Information Systems and Technologies

    The sphere of professional activity of the Information Systems and Technology (126) graduates is a branches of science and technology, covering a range of issues related to the Data Mining, Big Data processing methods, Machine Learning and Artificial Intelligence systems, construction and analysis of the computer models of solids mechanical motion and other physical processes.

    The objects of professional activity of the graduate with a degree in Information Systems and Technologies are:

    • software development using modern programming languages and information technology;
    • Data Mining and Machine Learning;
    • processing and analysis of Big Data;
    • information systems based on databases, data warehouses and knowledge bases;
    • AI systems and pattern recognition;
    • information support of decisions in different areas;
    • creation and using of expert systems for business processes analyzing and managing;
    • image processing;
    • programming and numerical analysis of the mechanical processes and objects models;
    • 3D visualization of mechanical processes (Microsoft DirectX technology).

    Graduates of the "Information Systems and Technologies" receive profound and comprehensive knowledge allowing to apply information technologies and advanced mathematical methods in solving of the topical scientific, analytical and management tasks in various fields of activity, information, analytical and artificial intelligence systems creating and using, appropriate software developing, as well as conduct the research aimed at such methods and information technologies creating.

    The special feature of the Information Systems and Technologies training in classical University is upscale programming school plus profound mathematical training, which is the background of effective problem solving both programming, modeling or designing information systems and analysis or data processing, Machine Learning, mechanical processes simulation etc.

    2 lines of the training (without displaying in a diploma):

    Line 1. Data Mining

    In-depth study of the architecture of distributed database systems and knowledge base systems, natural language recognition systems, data mining methods, decision theory and machine learning, and learning of methods of using them to information support of the decision in various fields of activity.

    Line 2. Information Technology in Mechanics

    In-depth study of the multimedia technologies of simulation, numerical experiment and visualization of the mechanical processes of the objects systems and using them to solve engineering problems robotics, pyroscopy, aerodynamics and ecology.

    The graduates work as information and business processes analysts, system and application software developers, heads of computer and information departments in various companies, state organizations and banks, as well as researchers.

    Qualification of the graduate:

    • Bachelor – "Software Developer", "Computer Systems Developer"
    • Master – "Professional in Programming"

    There are training courses (phones for more information: 723-05-88, 63-76-04)

 

Chair of computer systems and technologies

Address: Dvoryans'ka St, 2, Odesa, The main building of ONU, aud. 92

Site: computer-science.onu.edu.ua

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

gunchenko

Head of Department: Yurii Gunchenko

D.Sc., Professor

Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Scopus Author ID: 57193069126
ORCID: 0000-0003-4423-8267

Staff

 

Шугайло Ю.Б.

Yurii Shugailo - candidate of physical and mathematical sciences

Scopus Author ID: 6507990639

ORCID: 0000-0003-2144-093X

Hanna Korenkova - candidate of physical and mathematical sciences, associate professor

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Scopus Author ID: 14050382100

ORCID: 0000-0001-7207-3688

Камєнєва Алла Вікторівна

Alla Kamienieva - Ph.D., lecturer

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Scopus Author ID: 57211663963

ORCID: 0000-0002-9970-9081

Михайленко Владислав Сергійович

Vladislav Mykhailenko - doctor of technical sciences (DSc) associate professor

e-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.

ORCID: 0000-0002-1401-0053

Scopus Author ID: 56441135800

Мартинович Лариса Ярославівна

Larysa Martynovych - Senior Lecturer

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Scopus Author ID: 6507946465

ORCID: 0000-0001-7351-1467

Ilnara Vilyivna Sharipova - senior teacher

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

ORCID: 0000-0003-0521-1299

Ларін Дмитро Георгійович - кандидат технічних наук

Andrii Chepok - candidate of physical and mathematical sciences

Scopus Author ID: 26646433300

ORCID: 0000-0002-7902-9652

 

Oksana Zuі - teacher

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Scopus Author ID 54793792200

ORCID: 0000-0001-9520-4441

Sergiy Stukalov  - senior teacher

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

ORCID: 0000-0002-2062-5118

Alla Kamienieva

Alla Kamienieva

Ph.D., lecturer

  • e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Scopus Author ID: 57211663963
  • ORCID: 0000-0002-9970-9081

Field of scientific interests: programming systems, databases

Courses taught:

  • Basics of Web technologies
  • Programming of mobile applications ,
  • Cross-platform programming,
  • Software for mobile devices,
  • Object-oriented programming

Andrii Chepok

Chepok

Senior Lecturer of IT Dept

Scopus Author ID: 26646433300

ORCID: 0000-0002-7902-9652

Dmytro Larin

Dmytro Larin PhD

PhD

Scientific interests - robotics, programming of embedded systems, the Internet of Things.

Education – process automation engineer, Ukrainian State Academy of Communications, 1996.

The courses - Robotics and Mechatronics.

Hanna Korenkova

Candidate of physical and mathematical sciences, associate professor

  • e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Scopus Author ID: 14050382100
  • ORCID: 0000-0001-7207-3688

Courses taught: theory of algorithms, construction and analysis of algorithms, operating systems and system programming

Ilnara Vilyivna Sharipova

senior teacher

  • e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • ORCID: 0000-0003-0521-1299

Field of scientific interests - Data processing and video processing

Education: Odesa Polytechnic National University, 2006

Courses taught: "Theory of decision-making", special courses "Expert systems", "Computer vision and navigation of robotic systems"

Larysa Martynovych

Мартинович Лариса Ярославівна

  • e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Scopus Author ID: 6507946465
  • ORCID: 0000-0001-7351-1467

Field of scientific interests:

  • Theory and synthesis of intelligent systems;
  • Construction of non-traditional computing systems;
  • Parallel and distributed computing

Oksana Zuі

Teacher of the Department of Computer Systems and Technologies

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Specialty and qualification by diploma:

  • Odesa State University named after I. I. Mechnikov, 2000, specialty - physics, diploma qualification - physicist.
  • Graduate studies in 2003. by specialty 01.04.14 – thermal physics and molecular physics

Scientific interests: web technologies, web design, UX/UI design, computer graphics.

Sergiy Prykhodko

D.Sc., Professor

Field of scientific interests: Modeling of random variables, processes, stochastic systems, analysis of multivariate data, and their application in computer science and software engineering

Courses taught: Modeling of systems, Processing of experimental data

The main publications of the teacher

Articles

  • Приходько С.Б. Показатели мореходности судов в различных районах плавания при ограничениях технической устойчивости / С. Б. Приходько // Гидродинамика корабля: Сб. науч.тр. – Николаев: НКИ, 1985. – С.82-88.
  • Приходько С.Б. Параметрическая идентификация нелинейной стохастической дифференциальной системы второго порядка при неизвестной интенсивности входного сигнала / С. Б. Приходько // Тр. Одес. политехн. ун-та, 2001. – Вып.3 (15). – С.158-162.
  • Приходько С.Б. Применение стохастических дифференциальных уравнений для защиты звуковой информации / С. Б. Приходько // Тр. Одес. политехн. ун-та, 2003. – Вып.2 (20). – С.163-166.
  • Приходько С.Б. Контроль імпульсних змін значень параметрів стохастичних диференціальних систем / С. Б. Приходько // Вісник ВПІ. – 2005. – № 6 (63). – С.25-29. – ISSN 1997-9266.
  • Приходько С.Б. Методи побудови математичних моделей нормалізованих сигналів нелінійних стохастичних диференціальних систем / С. Б. Приходько // Науковий журнал “Математичне моделювання”. – Дніпродзержинськ: ДДТУ, 2008. – № 2 (19). – C.3-6.
  • Приходько С.Б. Применение пилот-сигналов для повышения помехозащищенности системы цифровой связи, основанной на использовании манипуляции случайного процесса / С. Б. Приходько // Радіоелектронні і комп’ютерні системи. – 2008. – № 7 (34). – С.165-170. – ISSN 1814-4225.
  • Приходько С.Б. Багатовимірні перетворення для нормалізації математичних моделей нелінійних стохастичних диференціальних систем / С. Б. Приходько // Науковий журнал “Математичне моделювання”. – Дніпродзержинськ: ДДТУ, 2009. – № 1 (20). – C.12-15.
  • Приходько С.Б. Применение нормализующих преобразований для построения математических моделей нелинейных стохастических дифференциальных систем / С. Б. Приходько // Электронное моделирование. – 2011. – Т.33. – № 2. – С.13-23. – ISSN 0204–3572.
  • Приходько С.Б. Метод точної лінеаризації деяких класів нелінійних стохастичних диференціальних рівнянь / С. Б. Приходько // Науковий журнал “Математичне моделювання”. – Дніпродзержинськ: ДДТУ, 2011. – № 2 (25). – C.9-12.
  • Приходько С.Б. Оценка параметров нелинейных стохастических дифференциальных уравнений на основе нормализирующих преобразований / С. Б. Приходько // Вісник Харк. нац. ун-ту. – 2012. – № 1015. Сер. «Математичне моделювання. Інформаційні технології. Автоматизовані системи управління», вип. 19. – С.276-282.
  • Приходько С.Б. Моделювання залежних гаусівських випадкових величин на основі декомпозиції кореляційної матриці та перетворення Джонсона / С. Б. Приходько // Проблемы информационных технологий. – 2013. – №2 (014) – С.75-77. – ISSN 1998-7005
  • Приходько С.Б. Моделювання гаусівських випадкових величин із використанням перетворення Джонсона із сім’ї SU / С. Б. Приходько // Інформатика та математичні методи в моделюванні. – 2015. – т.5, №.1. – С.92-97.
  • Prykhodko N.V. Constructing the non-linear regression models on the basis of multivariate normalizing transformations / N. V. Prykhodko, S. B. Prykhodko // Electronic modeling. – 2018. – Т.40. – № 6. – P.99-108. – ISSN 0204–3572. – DOI: https://doi.org/10.15407/emodel.40.06.101
  • Prykhodko N. V. The non-linear regression model to estimate the software size of open source Java-based systems / N. V. Prykhodko, S. B. Prykhodko // Radio Electronics, Computer Science, Control. – No.3 (46) – 2018. – P.158-166. – ISSN: 1607-3274 – E-ISSN: 2313-688X – DOI: https://doi.org/10.15588/1607-3274-2018-3-17
  • Prykhodko S. Estimating the Software Size of Open-Source PHP-Based Systems Using Non-Linear Regression Analysis / Sergiy Prykhodko, Natalia Prykhodko, Lidiia Makarova // Proceedings of International Conference “Advanced Computer Information Technologies” (ACIT-2018). CEUR Workshop Proceedings. – 2019. – Vol.2300. – Ceske Budejovice, CZECH REPUBLIC. CEUR-WS.org – P.199-202. ISSN 1613-0073 http://ceur-ws.org/Vol-2300/Paper48.pdf
  • Prykhodko N. V. A multiple non-linear regression model to estimate the agile testing efforts for small Web projects / N. V. Prykhodko, S. B. Prykhodko // Radio Electronics, Computer Science, Control. – No.2 (49) – 2019. – P.158-166. – ISSN: 1607-3274 – E-ISSN: 2313-688X – DOI: https://doi.org/10.15588/1607-3274-2019-2-17
  • Prykhodko S. Mathematical Modeling of Non-Gaussian Dependent Random Variables by Nonlinear Regression Models Based on the Multivariate Normalizing Transformations / S. Prykhodko, N. Prykhodko // In: Shkarlet S., Morozov A., Palagin A. (eds) Mathematical Modeling and Simulation of Systems (MODS'2020). MODS 2020. Advances in Intelligent Systems and Computing, vol 1265, 2021. – P. 166-174. Springer, Cham. ISSN: 2194-5357. DOI: https://doi.org/10.1007/978-3-030-58124-4_16
  • Prykhodko S. Estimating the Efforts of Mobile Application Development in the Planning Phase Using Nonlinear Regression Analysis / Sergiy Prykhodko, Natalia Prykhodko, Kateryna Knyrik // Applied Computer Systems. – 2020. – vol. 25, no. 2. – pp. 172–179. – ISSN 2255-8683 (print). DOI: https://doi.org/10.2478/acss-2020-0019
  • Prykhodko S. A Statistical Evaluation of the Depth of Inheritance Tree Metric for Open-Source Applications Developed in Java / S. Prykhodko, N. Prykhodko, T. Smykodub // Foundations of Computing and Decision Sciences. – 2021. – Vol. 46. – No. 2. – P. 159-172. – ISSN 0867-6356, e-ISSN 2300-3405. DOI: https://doi.org/10.2478/fcds-2021-0011
  • Prykhodko S. Early LOC Estimation of Web Apps Created Using Yii Framework by Nonlinear Regression Models / Sergiy Prykhodko, Ivan Shutko, Andrii Prykhodko // WSEAS Transactions on Computers. – 2021. – Vol. 20. – P. 321-328. – Print ISSN: 1109-2750 – E-ISSN: 2224-2872. DOI: http://dx.doi.org/10.37394/23205.2021.20.35
  • Prykhodko S.B. A nonlinear regression model to estimate the size of web apps created using the CakePHP framework / S. B. Prykhodko, I. S. Shutko, A. S. Prykhodko // Radio Electronics, Computer Science, Control. – 2021. – No. 4 (59). – P. 129-139. – ISSN: 1607-3274 – E-ISSN: 2313-688X – DOI: http://dx.doi.org/10.15588/1607-3274-2021-4-12
  • Prykhodko S. A Modified Technique for Constructing Nonlinear Regression Models Based on the Multivariate Normalizing Transformations / Sergiy Prykhodko, Natalia Prykhodko // Selected Papers of the VIII International Scientific Conference “Information Technology and Implementation" (IT&I-2021). Workshop Proceedings (IT&I-WS-2021), Kyiv, Ukraine, December 1-3, 2021. CEUR Workshop Proceedings. – 2022. – Vol.3179. – CEUR-WS.org – P. 156-166. ISSN 1613-0073. http://ceur-ws.org/Vol-3179/Paper_15.pdf
  • Prykhodko S.B. Nonlinear regression models for estimating the duration of software development in Java for PC based on the 2021 ISBSG data / S. B. Prykhodko, A. V. Pukhalevych, K. S. Prykhodko, L. M. Makarova // Radio Electronics, Computer Science, Control. – No. 3 (62). – 2022. – P. 144-154. – ISSN: 1607-3274 – E-ISSN: 2313-688X – DOI: https://doi.org/10.15588/1607-3274-2022-3-14
  • Prykhodko S.B. Early size estimation of web apps created using Codeigniter framework by nonlinear regression models / S. B. Prykhodko, I. S. Shutko, A. S. Prykhodko // Radioelectronic and computer systems. – 2022. – Vol. 3 (103). – P. 84-94. – ISSN: 2663-2012. – DOI: https://doi.org/10.32620/reks.2022.3.06

Proceedings of conferences

  • Prikhodko S.B. The application of moment method for parameter identification of stochastic systems / S. B. Prikhodko // Nonlinear Control Systems 2001: (NOLCOS 2001): A Proceedings Volume from the 5th IFAC Symposium, St. Petersburg, Russia, 4-6 July 2001. – Elsevier Science & Technology, 2002. – Vol.2 – P.991-994. – ISBN10: 0080435602 – DOI: https://doi.org/10.1016/S1474-6670(17)35311-9
  • Prykhodko S. Detecting Outliers in Multivariate Non-Gaussian Data on the basis of Normalizing Transformations / Sergiy Prykhodko, Natalia Prykhodko, Lidiia Makarova, Kateryna Pugachenko // Proceedings of the 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON) «Celebrating 25 Years of IEEE Ukraine Section», May 29 – June 2, 2017, Kyiv, Ukraine. – p.846-849. – ISBN: 978-1-5090-3005-7. – DOI: https://doi.org/10.1109/UKRCON.2017.8100366
  • Prykhodko S. Application of the Squared Mahalanobis Distance for Detecting Outliers in Multivariate Non-Gaussian Data / Sergiy Prykhodko, Natalia Prykhodko, Lidiia Makarova, Andrii Pukhalevych // Proceedings of 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, February 20 – 24, 2018, p.962-965. – DOI: https://doi.org/10.1109/TCSET.2018.8336353
  • Prykhodko S. A Non-Linear Regression Model to Estimate the Number of Defects for Software Testing Phase / Sergiy Prykhodko, Natalia Prykhodko, Lidiia Makarova, Kateryna Prykhodko, Andrii Pukhalevych, Tatyana Smykodub // Proceedings of the 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON), July 2 - 6, 2019, Lviv, Ukraine. – p.965-969. – ISBN: 978-1-7281-3882-4. DOI: https://doi.org/10.1109/UKRCON.2019.8880027
  • Prykhodko S. Outlier Detection in Non-Linear Regression Analysis Based on the Normalizing Transformations / Sergiy Prykhodko, Natalia Prykhodko, Lidiia Makarova, Andrii Pukhalevych // Proceedings of the 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), IEEE, Lviv-Slavske, 2020, p.407-410. https://doi.org/10.1109/TCSET49122.2020.235464
  • S. Prykhodko and N. Prykhodko, "A Statistical Technique to Construct Data-Driven Decision Rules Based on Prediction Intervals of Nonlinear Regressions," 2022 IEEE 3rd International Conference on System Analysis & Intelligent Computing (SAIC), 2022, pp. 1-5, DOI: https://doi.org/10.1109/SAIC57818.2022.9922981
  • Prykhodko S. A Joint Statistical Estimation of the RFC and CBO Metrics for Open-Source Applications Developed in Java / S. Prykhodko, N. Prykhodko, T. Smykodub // 2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT), 2022. – P. 442-445, DOI: https://doi.org/10.1109/CSIT56902.2022.10000457
  • Prykhodko S. A Technique for Detecting Software Quality Based on the Confidence and Prediction Intervals of Nonlinear Regression for RFC Metric / S. Prykhodko, N. Prykhodko // 2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT), 2022. – P. 499-502. DOI: https://doi.org/10.1109/CSIT56902.2022.10000532

Methodical and training manuals

  • Основи методів обчислень на ЕОМ: Навч. посіб. / Н. В. Місюра, С. Б. Приходько, С. В. Суслов, В. І. Тимофєєв; Укр. держ. мор. техн. ун-т. – Миколаїв, 1998. – 54 c.
  • Коваленко И.И. Методы принятия решений: Учебное пособие [Текст] / И. И. Коваленко, Т. А. Фарионова, С. Б. Приходько. – Николаев: НУК, 2009. – 180 с. – ISBN 978-966-321-118-3.
  • Коваленко І.І. Сучасні методи статистичного аналізу даних [Текст]: [навч. посіб.] / І. І. Коваленко, С. Б. Приходько, Л. О. Латанська; Нац. ун-т кораблебудування ім. адмірала Макарова. – Миколаїв: НУК, 2011. – 189 с. – ISBN 978-966-321-118-3.
 

Одеська обласна державна адміністрація

Одеська обласна державна адміністрація
Одеська обласна державна адміністрація
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