SUCCESSFUL IMPLEMENTATION OF ONLINE COURSE FOR TEACHING STAFF AND STUDENTS “BIG DATA” (RES-UNI PROJECT)
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Published on
11.5.2026. u 09:26h
Within the Erasmus+ CBHE project RES-UNI, the online Big Data course for students and teaching staff has been successfully completed. The course was organized by the partner higher education institution WSGE University of Applied Sciences and covered key thematic areas such as cloud computing, data processing, machine learning, and the application of generative artificial intelligence in Big Data environments. Through theoretical and practical lectures, participants had the opportunity to enhance their digital and research competencies, as well as their knowledge of modern methods for analysing large datasets. Students and teaching staff from University College “CEPS-Center for Business Studies” Kiseljak participated in the course.
CEPS students achieved outstanding results in the final assessment, ranking among the best in competition with students from Albania, Türkiye, Poland, Montenegro, and Kosovo. Based on their achievements, the two best students – Vedad Šahić and Dario Šušnja – were selected for an internship at the partner higher education institution WSGE University of Applied Sciences in Poland. Travel costs and daily allowances were covered through the RES-UNI, further supporting international mobility and the development of student competencies. Certificates were awarded to both students and teaching staff.
Students’ experiences from their internship in Poland can be read below:
Vedad Šahić: “During my internship in Warsaw, I was involved in practical work in the field of artificial intelligence and Big Data processing. Most of my time was spent using Google Colab, where I learned how to prepare data and deploy AI models to extract useful insights from it. It was very interesting to see how modern tools are used to automate tasks that are still done manually or in outdated ways in our environment. This experience helped me understand how advanced IT solutions can be applied to improve any system, making it faster and more accurate.”
Dario Šušnja: “My internship in Warsaw focused on working with Big Data technologies and training AI models in Google Colab. Although the project was technically oriented, my main goal was to understand how these tools can be applied to solve transport-related problems. The key difference I noticed is that our systems still underutilize data, while in Poland many processes are based on analytics and digital solutions. Through this experience, I learned how AI could also be applied in our context, especially for transport optimization and the transition from outdated methods to smart and digital management.”
