Department of Optoelectronics and Information Technologies

  • About the Department
  • Employees
  • Courses
  • Lecturers' schedule
  • Teaching materials
  • Our goals
  • News

The Department of Optoelectronics and Information Technologies was founded in 1979, but under its current name it has been operating since 2012. For decades, the Department has been providing students with training in specialties that were at first related to Optoelectronics, and then to Information Technologies, as well. In particular, these were the specialties “Optical and optoelectronic devices and systems” (1979-1996), “Optoelectronics” (1996-2002), “Applied Physics” (2003-2010) and “Radiophysics and electronics” (2005-2010). Within the framework of these specialties, the department was responsible for the specializations “Optoelectronic information systems” (1979-1998), “Optoelectronic Informatics” (1999-2004), “Optoelectronic methods and techniques in biology and medicine” (1998-2007) and “Optoelectronic and radioecological devices and systems” (2004-2008).

Today, the Department’s status allows students to graduate and to be trained as specialists for the Bachelor’s and Master’s educational qualification levels in the specialty 122 “Computer Science” (since 2012). Starting from 2017, the Department has also been training bachelors in the specialty 126 “Information Systems and Technologies”, and since 2019 bachelors have been trained in the specialty 121 “Software Engineering”. Within the framework of the specialties “Computer Science” and “Information Systems and Technologies”, the Department opened the specializations “Artificial Intelligence Systems” (since 2012) and “Artificial Intelligence and Machine Learning” (since 2018). In addition, the Department delivers separate academic disciplines for bachelors studying in the specialty 153 “Micro- and Nanosystem Engineering”.

The main scientific and pedagogical interests of the department include Optoelectronics and Artificial Intelligence Systems. Particularly, these include recording, processing, transmitting and displaying information, digital signals and image processing, image recognition, computer linguistics and natural language processing, complex systems and networks, expert systems, knowledge bases, neural networks, intelligent sensors, radiological monitoring systems, etc.

Employees

ChairpersonOleh KushnirChairperson
ProfessorOleh KrupychProfessor
ProfessorIhor PolovynkoProfessor
ProfessorSerhiy SvelebaProfessor
Associate ProfessorMarta DufanetsAssociate Professor
Associate ProfessorVolodymyr FranivAssociate Professor
Associate Professor (by-worker)Yuriy FurgalaAssociate Professor (by-worker)
Associate ProfessorVolodymyr HrabovskyiAssociate Professor
Associate ProfessorIvan KaterynchukAssociate Professor
Associate Professor (by-worker)Yuriy KorchakAssociate Professor (by-worker)
Associate Professor (by-worker)Ivan KunioAssociate Professor (by-worker)
Associate ProfessorGalyna PanochkoAssociate Professor
Associate ProfessorMykhailo RusyniakAssociate Professor
Lecturer (by-worker)Ivan FedorovychLecturer (by-worker)
Lecturer (by-worker)Bohdan HoronLecturer (by-worker)
Lecturer (by-worker)Oleg IzhykLecturer (by-worker)
LecturerVasyl-Taras LuchkaLecturer
Lecturer (by-worker)Mariana MostovaLecturer (by-worker)
1st Category EngineerHalyna Duciak1st Category Engineer
Postgraduate Student, Lecturer (by-worker)Andrii FesiukPostgraduate Student, Lecturer (by-worker)

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Lecturers' schedule



Teaching materials

Methodical materials (list of methodical materials of each department with reference to them) / Methodical materials.

1.

  1. Hrabovskyi V. A. Metody poshuku u systemakh shtuchnoho intelektu: Metodychni rekomendatsii shchodo vykonannia laboratornykh robit z kursu «Metody i systemy shtuchnoho intelektu» / V. A. Hrabovskyi. – Lviv : LNU imeni Ivana Franka, 2018 r. – 63 s./ Hrabovskyi V. A. Search methods in artificial intelligence systems: Methodical recommendations for laboratory workshop on the course “Methods and systems of artificial intelligence” / V.A. Hrabovskyi. – Lviv: Ivan Franko National University of Lviv, 2018 – 63 p.
  2. Korchak Yu. Optoelektronna informatyka. Tom 1. Osnovni pryntsypy ta prylady: navchalnyi posibnyk / Yu. Korchak, Yu. Furhala, S. Rykhliuk. – Lviv : LNU imeni Ivana Franka, 2016. – 312 s./ Korchak Y. Optoelectronic informatics. Volume 1. Basic principles and devices: textbook / Yu. Korchak, Yu. Furhala, S. Rykhliuk. – Lviv: Ivan Franko National University of Lviv, 2016. – 312 p.
  1. Кушнір О. Лабораторний практикум з фізичних основ оптоелектроніки/О. С. Куш­нір, І. М. Азарова, А. І. Кашуба, О. М. Крупич, М. Р. Мостова, Г. І. Паночко. // Львів : Левада,­ 2021. – 148 с. ISBN 978-617-607-176-11 див. тут
  2. Hrabovskyi V. A. Metody poshuku u systemakh shtuchnoho intelektu: Metodychni rekomendatsii shchodo vykonannia laboratornykh robit z kursu «Metody i systemy shtuchnoho intelektu» / V. A. Hrabovskyi. – Lviv : LNU imeni Ivana Franka, 2018 r. – 63 s./ Hrabovskyi V. A. Search methods in artificial intelligence systems: Methodical recommendations for laboratory workshop on the course “Methods and systems of artificial intelligence” / V.A. Hrabovskyi. – Lviv: Ivan Franko National University of Lviv, 2018 – 63 p.див. тут
  3. Korchak Yu. Optoelektronna informatyka. Tom 1. Osnovni pryntsypy ta prylady: navchalnyi posibnyk / Yu. Korchak, Yu. Furhala, S. Rykhliuk. – Lviv : LNU imeni Ivana Franka, 2016. – 312 s./ Korchak Y. Optoelectronic informatics. Volume 1. Basic principles and devices: textbook / Yu. Korchak, Yu. Furhala, S. Rykhliuk. – Lviv: Ivan Franko National University of Lviv, 2016. – 312 https://electronics.lnu.edu.ua/wp-content/uploads/Korchak-Optoelektronna-informatykaiuzva.pdf
  4. Андрущак А. А. Прикладна електродинаміка інформаційних систем: Навчальний посібник / А. А. Андрущак, З. Ю. Готра, О. С. Кушнір – Львів : Видавн. центр Нац. ун-ту «Львівська політехніка», 2012. – 304 с. див. тут.

 

Електронні навчальні курси в середовищі MOODLE  https://e-learning.lnu.edu.ua/:

  1. Опрацювання зображень (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=4780 .)
  2. Основи програмування ( До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=4778)
  3. Системи штучного інтелекту (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=4587)
  4. Фізичні основи оптоелектроніки (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=4575)
  5. Аналіз часових послідовностей (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=4389 _
  6. Сучасні інтелектуальні та сенсорні системи (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=4388
  7. Мова програмування Java (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=4183
  8. Оптоелектроніка (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=3949)
  9. Цифрова обробка сигналів (До перегляду доступні лише для зареєстрованих користувачів за посиланням  https://e-learning.lnu.edu.ua/course/view.php?id=3780)
  10. Математичні методи дослідження операцій (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/course/view.php? id=3756
  11. Теорія прийняття рішень (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/course/view.php?id=3020 )
  12. Сучасні парадигми програмування (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/course/view.php?id=3712)
  13. Системи підтримки прийняття рішень (До перегляду доступні лише для зареєстрованих користувачів за посиланням https://e-learning.lnu.edu.ua/enrol/index.php?id=3901)

Our goals

The mission of the department

It is known that today the world is on the eve of the Fourth Industrial Revolution, the most important components of which are artificial intelligence and big data, the Internet of Things, virtual reality and three-dimensional printing. Well-trained, highly qualified young professionals are needed to ensure this technological breakthrough. The Department of Optoelectronics and Information Technologies sees its place in the educational space of our country first of all in the field of information technologies related to artificial intelligence. Research and applied development of artificial intelligence systems is given a prominent place, in particular, in the leading research centers of the United States, China, Europe, Japan and Korea. It is assumed that further adoption of the strategic concept of artificial intelligence development in Ukraine will also lead to a surge of activity in this area. In this regard, the Department of Optoelectronics and Information Technology sees itself as a scientific and educational unit designed to maximize the technological progress of the Ukrainian state.

The Department of Optoelectronics and Information Technologies should become a powerful local center of educational and methodological and scientific activities aimed at improving and developing education and science in the field of information technology, especially artificial intelligence. The main priority of the Department of Optoelectronics and Information Technologies is the study of artificial intelligence, and an additional priority is the integration of appropriate methods and systems in the field of optoelectronics.

The Department of Optoelectronics and Information Technology primarily provides bachelor’s and master’s programs in specializations related to artificial intelligence, as well as is responsible for teaching bachelors disciplines related to optoelectronics. The defining and most recognizable topics of the department’s disciplines should be optoelectronics, processing, transmission and display of information, digital signal and image processing, pattern recognition, computational linguistics and natural language processing, expert systems, knowledge bases, neural networks, intelligent sensors, as well as complex systems and networks.

The key to the successful career of our graduates should be a balanced set of disciplines provided by the department, their compliance with modern needs of industry and society in general, as well as a high scientific and methodological level of their teaching. Educational and methodical work of the Department of Optoelectronics and Information Technologies is aimed at solving problems of improving the quality of training of future specialists in computer science and information technology on the basis of highly qualified teachers and a comprehensive approach to improving the content, organization and teaching methods. The department sees the sources of replenishment of highly qualified personnel in the involvement of postgraduate graduates, talented graduates of the faculty, leading scientists of the region and highly qualified practitioners in the field of information technology.

We state that without serious scientific achievements on the subject of academic disciplines, the teaching of these disciplines would be incomplete. The Department of Optoelectronics and Information Technologies is a team of qualified scientists that conducts basic and applied research in demand by society. The department sees its functions not only in training specialists for industry and business, but also in the formation of the scientific elite of society through graduate and doctoral studies.

Vision of the department

The Department of Optoelectronics and Information Technologies works in the field of training specialists in the fields of informatics and optoelectronics. The department should set an example of high quality standards of training of these specialists in accordance with the requirements of the time, taking into account the situation on the labor market and current trends in information technology. Ways to achieve these goals are hard work, dedicated scientific and pedagogical activities of the department, ensuring the full realization of scientific and pedagogical potential of employees, as well as the introduction and development of innovative specializations, techniques and teaching methods.

As a result, the Department of Optoelectronics and Information Technology should become a leading and prestigious scientific and pedagogical unit at the Faculty of Electronics and Computer Technology in the fields of informatics and optoelectronics, especially in the field of artificial intelligence systems.

The goals of the department

The Department of Optoelectronics and Information Technologies should work to train highly qualified specialists in the field of IT technologies, as well as to strengthen the prestige, role and importance of Lviv University in Ukrainian society. To this end, it is necessary to intensify and improve the quality of the educational process and research, to preserve and increase the human potential of the educational process, to improve and modernize its infrastructure and educational and methodological capabilities. In particular, the main strategic goals of the department are as follows:

  • Expansion of educational opportunities.
  • Educational development-methodical potential.
  • Increasing scientific potential.
  • Improvement of material and technical condition and infrastructure.
  • Expansion of international cooperation.

On April 17, 2024, at 15:05, the 12th Scientific Seminar will be held at the Faculty of Electronics and Computer Technologies

16.04.2024 | 18:27

Hey!
Tomorrow, don’t miss it!
The Twelfth Scientific Seminar at the Faculty of Electronics and Computer Technologies.
Speakers:
A.P. Luchechko “OSL dosimetry of ionizing radiation”
Kushnir O.O. “IoT in the service of protection”
Link to the meeting online: https://teams.microsoft.com/l/meetup-join/19%3a-vYIm0E4sQdnEdrUIrU-7tLeTTy6t4Vep7xp56JViCk1%40thread.tacv2/1713253780325?context=%7b%22Tid%22%3a%2270a28522-969b-451f-bdb2-abfea3aaa5bf%22%2c%22Oid%22%3a%22b29c99bf-7230-4e9f-86bf-2ca6bb59721b%22%7d
 
We invite everyone to attend!
 
 
Запрошуємо всіх бажаючих!
Переглянути засади наукового семінару та новини про попередні наукові семінари можна у розділі Науковий семінар

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On April 24, 2024 at 15 hours. 05 min. an open lecture by Associate Professor of the Department of Radioеlectronic and Computer Systems Oleh Sinkevych on “Fundamentals of registration and authorization of users in Web applications” will be held

15.04.2024 | 14:28

On April 24, 2024, at 15 hours. 05 min. an open lecture by Associate Professor of the Department of Radioеlectronic and Computer Systems Oleh Sinkevych on “Fundamentals of registration and authorization of users in Web applications” for 2nd-year students majoring in 126 – “Information Systems and Technologies” of the Faculty of Electronics and Computer Technologies on the course “Python Programming Language” will be held.
The lecture will be held remotely on the Microsoft Teams platform.
We invite everyone to join the lecture.
Access...

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On April 18, 2024, at 11 hours. 50 minutes, an open lecture by Associate Professor of the Department of Radioеlectronic and Computer Systems Mykhailo Pavlyk on “Denial of Service (DDoS) attacks”

15.04.2024 | 14:27

On April 18, 2024, at 11 hours. 50 minutes, an open lecture by Associate Professor of the Department of Radioеlectronic and Computer Systems Mykhailo Pavlyk on “Denial of Service (DDoS) attacks” will be held for 4th-year students majoring in 121 – “Software Engineering” of the Faculty of Electronics and Computer Technologies on the course “Information Security of Programs and Data”.
The lecture will be held remotely on the Microsoft Teams platform.
We invite everyone to join the lecture.
Access is available...

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The third stream of the HIVE Project – HEI – Innovation for Knowledge Intensive Entrepreneurship online training starts

15.04.2024 | 14:12

Have you been dreaming of turning your ideas into a business for a long time, but have never dealt with startups? Not a problem, because the third stream of online training HIVE Project – HEI – Innovation for Knowledge Intensive Entrepreneurship – is starting – an opportunity for all members of the academic community (students, teachers, non-academic staff of higher education institutions) to take a 3-module online course and learn how to turn their business idea into a real project...

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Our faculty is now on LinkedIn!

11.04.2024 | 14:40

We are pleased to announce that you can now find us on LinkedIn! This is a great opportunity to communicate, share experiences, and get the latest news about our faculty.
Join us by following the link. There you will find interesting publications, information about events, and achievements of our students and alumni, as well as opportunities for cooperation.
Don’t miss the opportunity to join our community of success on LinkedIn! 🌟

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