At the beginning of June 2024, the next semester of NURE students' training under the German-Ukrainian project «DigiJED-3: Digital Education with Joined Efforts» was completed. During the semester 20 students of NURE participated in the project, 19 of whom represented the V.V. Popovskyy ICE Department. As in the previous semester, six students of the department received scholarships from the project for successful study in their chosen courses. A total of 15 students received certificates based on the results of the project courses. The most popular courses this semester were Introduction to Deep Learning and Machine Learning with Python.

Feedback from the project fellows

Lembei Kyrylo (КУІБ-21-1) "I participated in the project for the second time, as I really liked the format of the training and the opportunity to master additional disciplines during the academic semester. The course "Machine Learning with Python" interested me in a new topic with an already familiar programming language, which gave me more time to study the theory. The course instructor did an excellent job of explaining the material in both theory and practical sessions, also supporting students in case of difficulties and individually explaining mistakes. In general, the project again leaves a good impression with its easy assimilation of a completely new area of programming and loyal attitude to the participants. I will definitely participate in the next courses of the Digi-JED project."

Vergeles Anastasiya (КУІБ-21-1) This is my second experience of participation in Digi-JED projects. As after the first course, I was completely satisfied with the experience. I chose the course "Machine Learning with Python" because of the relevance of this topic in recent years. For me the main advantage was the possibility to watch the lectures of the course not during the scheduled class, but already after them, because this semester quite often the pairs overlapped with NURE pairs. Therefore, I can say that I was very impressed with the organization of the materials provided. Besides, the teacher was very pleasant in communication and open to additional explanations of incomprehensible things. When defending lab work, she was careful to explain mistakes and reasons. Thus, even when defending the work, one can learn new things and once again hear the explanation of familiar issues that were not clear."

Daniil Tkachev (КУІБ-23-2) "Let me start with the fact that I enjoyed participating in this event. Among the advantages of this project I would like to mention a good choice of subjects to study. All the topics that were on the list, I liked their relevance. Also from the advantages I want to emphasize the fact that the teacher was good, understanding and loyal. The material presented in the discipline "Machine Learning with Python" was not complicated. Everything could be studied and understood with enough effort. Listening to the class material in lectures was interesting, although it was quite difficult to sit for 2 hours in a row. Also taking the courses added more work to the activities at the university, but it was my decision about the extra workload. But even these difficulties can be managed with enough effort and time allocation to the tasks. The level of difficulty of the tasks was not too high, all the provided work was done with ease."

Artem Nijivenko (КУІБ-23-2) "I took the course "Machine Learning with Python", in general I liked the course and was able to learn a lot of new things for myself. The material in the course was very interesting and informative. The course was quite challenging, but even without previous experience in this field it was easy to complete, all thanks to a good instructor. The instructor did an excellent job of explaining complex topics, making them easy to understand. The lectures were well structured, with many examples and real-life tasks, which made it much easier to assimilate new information. Especially useful were the practical classes, where we practically used scikit-learn, pandas and numpy libraries to solve practical problems. This allowed us to gain valuable experience working with data and applying machine learning algorithms to real-world situations. In addition, the instructor was kind and loyal and always helped if there were difficulties. She always took the time to explain unclear points and provide additional resources to better understand the material. This support made learning more comfortable and productive. Thanks to this course, I gained a lot of new knowledge and familiarized myself with new technology."

Anna Toropchik (КУІБ-23-2) "DigiJED-3 project was very interesting and exciting, I got new theoretical, practical knowledge and incredible experience from Deep learning, which I will gladly use in practice. Thanks to the project I found acquaintances with common interests and people with whom it is useful and informative to spend time at lectures and practical classes. I really liked the information that the lecturer told us. It was also interesting to work on labs where we created neural networks and trained them, demonstrated them to the instructor and other participants where we could discuss the results. I thank the DigiJED-3 project, teachers and people involved in the project for the opportunity to gain new knowledge."

Elizabeth Grebenyuk (ІСТ-23-1) "I recently completed the Introduction to Deep Learning course and would like to share my impressions. This course was a real discovery for me and significantly expanded my knowledge and skills in the field of artificial intelligence and machine learning. The course instructor is very loyal and talented. She was always ready to help and answer any question. The lectures were accompanied by examples and accessible explanation. Every question was always clearly answered. I especially liked that the course included real projects such as image classification, text generation and others. These tasks helped me understand how to use what I learned in real-world scenarios. The Deep Learning course exceeded all my expectations. I not only gained deep knowledge and practical skills, but also got motivated and inspired for further research in the field of Artificial Intelligence. Thank you for a great learning experience!"

Thank you to the project coordinators and teachers for their excellent work, and to the students for their participation and successful learning in the project courses! Next semester we invite NURE students to participate in the German-Ukrainian project "DigiJED-3: Digital Education with Joined Efforts".