We are pleased to welcome you to the Department of Computer Science website
DON'T HESITATE!
Educational and professional program "Intelligent Data Analysis in Computer Information Systems"
Specialty F3 "Computer Science"
YOU WILL BE ABLE TO MASTER THE MOST POPULAR LANGUAGES AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN NO TIME AT ALL.
IT technologies are one of the most relevant areas in the modern world. Information technologies are rapidly developing and becoming increasingly necessary in various spheres of life, including business, medicine, education, science, entertainment, and much more.
Thanks to IT technologies, people have access to a huge amount of information, can work and communicate more effectively, and improve their health and well-being. Artificial intelligence, blockchain, the Internet of Things, cloud technologies, and other new developments are accelerating business development and ensuring internet security. IT technologies not only help improve our daily lives, but also expand our capabilities in various areas that were previously unattainable.

DEVELOPMENT OF APPLICATIONS ON THE .NET PLATFORM
The most relevant stacks for developing applications on the .NET platform today include ASP.NET Core, Xamarin, WPF, UWP, Blazor, Entity Framework, SignalR, and .NET Core, which allow developers to create high-quality applications for various platforms.

FULL STACK DEVELOPMENT IN JAVASCRIPT
Full stack development in JavaScript is a very popular field. The most relevant stacks include React, Angular, or Vue on the front end and Node.js with Express or Koa on the back end, along with MongoDB or MySQL as the database.

DEVELOPMENT OF MOBILE APPLICATIONS OF VARIOUS LEVELS OF COMPLEXITY
For simple applications, the App Inventor or Thunkable platforms can be used. For medium complexity, Java/Kotlin for Android and Swift for iOS, as well as React Native and Flutter frameworks for both platforms. For high complexity, multi-module architectures based on Clean Architecture, as well as Firebase and Cloud services.

MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE SYSTEMS IN PYTHON
The most relevant stacks include libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, and NLTK. Tools such as Jupyter Notebook, Google Colab, and web frameworks Django, Flask, and FastAPI can be used to create and deploy models for machine learning-based web applications and artificial intelligence systems.

AUTOMATION OF TECHNOLOGICAL PROCESSES SUPPORTING APPLICATION DEVELOPMENT
The Git version control system allows you to automate the code version control process. Testing automation tools such as Selenium, Jest, or Pytest allow you to run tests automatically and reduce the number of errors. Deployment and monitoring automation tools such as Docker, Kubernetes, Jenkins, and Nagios help reduce the time and resources required to deploy applications and keep them running.

DEVELOPMENT OF CORPORATE APPLICATIONS IN JAVA
The most relevant stacks for development include frameworks such as Spring and Hibernate, which help developers create efficient and scalable applications. Other important libraries, such as Apache Maven, Log4j, and JUnit, help developers manage dependencies, perform logging, and run tests. Java also has many tools to support development, such as Eclipse, IntelliJ IDEA, and NetBeans.
WHY IS EVERYONE CHOOSING IT TODAY?
The intensity of IT industry development has grown significantly over the past few years. With the spread of network connectivity and increased data transfer speeds, it has become possible to develop new technologies and applications. The IT industry has become an important component of the global economy, creating new jobs and driving GDP growth in many countries. The development of cloud technologies, mobile devices, the Internet of Things and artificial intelligence is changing the way we live, work and communicate. The development of this industry continues, and every year there are more opportunities for innovation and change in various areas of people’s lives.
- Artificial intelligence: the development of machine learning, neural networks and deep learning provides opportunities for developing new products and improving existing ones.
- Internet of Things: The increase in the number of devices connected to the network creates new opportunities in the field of home automation, increases production efficiency and reduces costs.
- Cloud technologies: increasing the amount of data stored in the cloud makes it possible to reduce the costs of data storage and processing.
- Mobile development: the growth in the number of mobile devices and the expansion of their capabilities is creating demand for mobile applications and the development of web development with mobile adaptations.
- Blockchain: a technology that enables secure and reliable digital transactions, is rapidly growing in the fields of finance, medicine and logistics.
- Virtual reality and augmented reality: Growing interest in virtual games and research in the field of virtual medicine and education is creating demand for the development of new technologies.
ARTIFICIAL INTELLIGENCE SYSTEMS IN TODAY'S WORLD:
SOCIAL MEDIA
Content recommendations, automatic moderation, user sentiment analysis, image recognition, voice assistants, improved spam filtering, increased personalisation, smart data analysis, fake detection, trend forecasting, improved speech recognition algorithms
MUSIC AND MEDIA
Music generation, automatic audio classification and tagging, sound quality enhancement, melody recognition, personalised music recommendations, emotion analysis in music, music track visualisation, automatic accompaniment for videos, improved music content search
SEARCH ENGINES
Advanced search analysis, personalised recommendations, multilingual search, improved ranking algorithms, contextual search, semantic link detection, image and video analysis, voice search and speech recognition, contextual data-based search
STREAMING SERVICES
Personalised recommendations, automatic content classification, viral content detection, popular video prediction, viewer emotion analysis, content recommendation optimisation, image and object recognition, video stream quality improvement
HEALTH CARE
Diagnostics using artificial intelligence, disease prediction, personalised treatment, genetic data analysis, patient monitoring, expert systems for decision support, cancer detection, epidemic prediction, automatic analysis of medical records
BANKING
Automatic customer verification, fraud prevention, personal financial advice, automatic risk analysis, improved payment processing, personalised recommendations, automatic document recognition, financial transaction monitoring, voice banking assistants
VIDEO GAMES
Smart NPCs, realistic enemy behaviour, procedural world generation, intuitive AI learning, deep learning in gameplay, dynamic difficulty adaptation, intelligent ally control, realistic physical effects, automatic task generation, emotional intelligence of characters, voice command recognition, automatic detection of cheaters, individual adaptation to the player, automatic gameplay analytics
CHATBOTS
Natural language, deep understanding of dialogues, emotional intelligence, improved contextuality, multilingualism, automatic response generation, personalised recommendations, machine learning, automatic translation, integration with other systems, analysis and recognition of intentions, improved interaction efficiency, detection of sarcasm and irony, automatic question formulation, problem solving and customer support
SMART DEVICES
Voice assistants, personal assistants, automated control systems, smart home devices, autonomous robots, intelligent energy management systems, contextual recognition and adaptation, smart security systems, health and fitness monitoring, automatic recommendations and personalisation, automatic lighting and temperature control, intelligent systems for automatic learning of habits and customs
SECURITY AND SURVEILLANCE
Intrusion detection, behaviour analysis, automatic image recognition, early warning systems, anomaly detection, automatic surveillance, object and person identification, hazard detection, monitoring and analysis of large volumes of video data, automatic event classification, license plate recognition, automatic fire and smoke detection, gesture and behaviour recognition
ALL OUR EDUCATIONAL PROGRAMS ARE COORDINATED WITH THE LARGEST
IT ORGANIZATIONS IN CHERNIVTSI AND CHERNIVTSI REGION
WE REMAIN OPEN TO ALL IT EMPLOYERS WHO WISH TO CONTRIBUTE TO THE IMPROVEMENT OF THE EDUCATIONAL PROCESS
MEET THE PEOPLE WHO MAKE THE LEARNING PROCESS POSSIBLE
Master Yoda
Yurii Usenko
Dmytro Uhryn
PM Guru
Valentina Dvorzhak
Mykhailo Gorsky
Ivashko Viktor
Sergiy Golub
Vatamanitsa Edgar
C++ Guru
Andriy Dovgun
Database Guru
Kovalchuk Myroslav
ML guru
Talakh Maria
.NET Guru
Tomka Yurii
Math Guru
Yats'ko Oksana
QUESTIONS THAT ARE MOST FREQUENTLY ASKED BY APPLICANTS
To do this, visit the website of the Admissions Committee of Yuriy Fedkovych Chernivtsi National University:
Additionally, you can contact our department during working hours. We will be happy to help and explain all the details regarding the admission procedure and document submission.
To do this, follow the link
https://kkn.chnu.edu.ua/for-university-entrants/it_academy_registration/
and fill out the form. We look forward to seeing you!
We hope your dream will come true. Examples of motivation letters can be found at the following link:
Admission requirements
You can also contact the department during working hours. We will be happy to help you!
Yes. Yuriy Fedkovych Chernivtsi National University has dormitories. During the admission campaign, we help and guide applicants, and explain the algorithm for obtaining places in the dormitory.
Yes, we regularly organise excursions to IT companies. Representatives from the IT sector often visit us and talk about the algorithms that students can use to get a job with them. In addition, during your studies, we provide various types of internships, during which you are at the company and learn how everything works from your own experience. We understand the process of integrating students into the IT industry and support individual training programmes, which allow you to study according to your own schedule and work at the same time.
Yes, you can easily join a research group. The department has a procedure for gradually integrating applicants into the department’s research activities. For more information, please see:
Student organizations
Without a doubt. We try to find an approach to each student and gradually bring them up to the required level. It is important to note that you may have minimal contact with coding and testing processes, but you can still be an indispensable part of an IT company’s team by working as a business analyst, brand, event, or PR manager, recruiter, marketer, public speaker, etc. You will undoubtedly be able to find your place in the IT field.




