Faculty of Computer Science and Engineering
Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/5
The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest
faculties in that field in the region.
The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.
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Item type:Publication, IOI Talks: New Initiative for Publishing Presentations, Events, Interviews, Book Recommendations and Videos of Interest to the IOI Community(Vilnius University Press, 2020-12-01) ;KOSTADINOV, BojanMost of the activity of the IOI community occurs during the International Olympiad in Informatics (and a couple of weeks around the event). In this report we present “IOI Talks” which is a new initiative to occasionally publish presentations, events, book recommendations, interviews and videos that can be of interest to the broader IOI community. Additionally, we will give an overview of the content for the first event. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Colorizing images with Conditional Adversarial Networks and Transfer Learning(IEEE, 2021-09-16) ;Treneska, SandraAutomatic image colorization is an image-to-image translation problem where a model is able to automatically convert a one-dimensional grayscale image to a three-dimensional color image. Inspiration is taken from the Pix2Pix image-to-image translation model and then a pre-trained MobileNet model is integrated into the generator of the Conditional Generative Adversarial Network (cGAN). The goal is to use transfer learning for the purpose of achieving satisfactory results with less training data while at the same time decreasing training time and improving performance. Moreover, quantitative and qualitative analysis is performed. The results show that by using transfer learning the modified model achieves a PSNR score of 24.21 and a SSIM score of 0.9374 and with that improves upon the baseline. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, TEACHERS' SURVEY ON THE TEACHING OF COMPUTING AS A COMPULSORY SUBJECT FOR PUPILS OF AGE 8(IATED, 2023-07); ; According to the European Union’s Council and the Commission on the implementation of the strategic framework for European cooperation in education and training, relevant and high-quality learning requires more innovative pedagogy and tools for developing digital competences, including e-literacy, computational and critical thinking, as well as coding and knowledge of algorithms. Furthermore, for this type of improvement, strong support for teachers, trainers and other educational staff is needed. In this paper we showcase the results of a survey analysis for the subject Computing for primary education, introduced in the academic year 2015/2016 in the Republic of Macedonia. The survey was conducted on a large sample of over 700 schoolteachers who had been teaching the subject for a year during the teacher training for the upcoming year. The survey covers 5 areas: the course format, computational thinking and coding topics, previous year’s training, questions on personal development and conditions for realization of the course. We present and analyze the results, and propose suggestions for improvements that may be valuable for every school system that tries to introduce this topic into the curriculum. Since the survey was conducted in many cities across our country, the results analysis is done by country regions, as well as by the teaching language. - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, COMPUTATIONAL THINKING IN EDUCATION: CORE CONCEPTS, PEDAGOGICAL STRATEGIES, AND CURRICULUM INTEGRATION MODELS(IATED, 2026-03) ;Miceva, Gorica; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploring the Educational Potential of Virtual Reality and Mixed Reality: Immersive Learning, Student Engagement, and Knowledge Retention(Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia, 2025-12) ;Dodevska, Mila ;Atanaskoski, Zivko; ; The integration of Virtual Reality (VR) and Mixed Reality (MR) technologies in education presents new opportunities for immersive and interactive learning. This paper reviews recent applications of VR/MR in educational contexts, emphasizing their impact on student engagement, cognitive development, and knowledge retention. The analysis highlights key benefits such as enhanced motivation, improved practical skills, and effective visualization of abstract content, while also acknowledging limitations including cognitive load and motion sickness. In addition to the literature review, the grounds of an experimental study are presented. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Using the BBC Micro:bit in Educational Settings: Recommendations for N. Macedonia(Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia, 2025-12) ;Miceva, Gorica; ; Atanaskoski, ZivkoThe integration of the BBC Micro:bit into educational settings has been gaining momentum across various countries due to its potential to foster computational thinking, digital literacy, and hands-on learning. This paper examines the role of the Micro:bit in enhancing STEM education through case studies from Slovakia, Sweden, and the UK. The study explores teaching approaches, technical considerations, student engagement, pedagogical insights, challenges, and cultural contexts, offering valuable insights into the effectiveness of the BBC Micro:bit in different educational environments. Further, based on the findings, we propose a set of recommendations for N. Macedonia. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, EXPLORING COMPUTATIONAL THINKING IN EDUCATION: DEFINITIONS, PEDAGOGIES, AND INTEGRATION APPROACHES(IATED, 2024-11) ;Miceva, Gorica; ; Nowadays, many academics agree that one of the essential 21st-century skills is computational thinking (CT). This study explores the diverse meanings of CT and their evolution throughout the years. It examines the complex connections between digital literacy/competence, programming, and CT, and clarifies their differences. The fundamental ideas and abilities of CT—abstraction, algorithmic reasoning, automation, decomposition, debugging, pattern recognition, and generalization—will be at the center of our discussion. We claim that CT serves as a catalyst for developing students' critical thinking and problem-solving skills, emphasizing its importance in education. Our paper evaluates the necessity of incorporating CT into curricula while discussing how it might promote economic growth. It investigates the best pedagogical approaches to support CT and looks into ways to incorporate it easily into current curriculum. Additionally, it looks into how dependent CT is on technology and how students' access to it affects CT-oriented education. A comprehensive review of relevant studies will be conducted, examining various methods of implementing and using CT in mandatory education worldwide. Finally, three primary approaches to integrating CT skills in compulsory education curricula will be examined: as a cross-curricular topic, as a standalone subject, and by integration within other subjects. Real-world examples of CT integration in compulsory education across various countries are provided, offering insights into successful implementation strategies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, EXPLORING COMPUTATIONAL THINKING IN EDUCATION: DEFINITIONS, PEDAGOGIES, AND INTEGRATION APPROACHES(IATED, 2024) ;Miceva, G; ; Nowadays, many academics agree that one of the essential 21st-century skills is computational thinking (CT). This study explores the diverse meanings of CT and their evolution throughout the years. It examines the complex connections between digital literacy/competence, programming, and CT, and clarifies their differences. The fundamental ideas and abilities of CT—abstraction, algorithmic reasoning, automation, decomposition, debugging, pattern recognition, and generalization—will be at the center of our discussion. We claim that CT serves as a catalyst for developing students' critical thinking and problem-solving skills, emphasizing its importance in education. Our paper evaluates the necessity of incorporating CT into curricula while discussing how it might promote economic growth. It investigates the best pedagogical approaches to support CT and looks into ways to incorporate it easily into current curriculum. Additionally, it looks into how dependent CT is on technology and how students' access to it affects CT-oriented education. A comprehensive review of relevant studies will be conducted, examining various methods of implementing and using CT in mandatory education worldwide. Finally, three primary approaches to integrating CT skills in compulsory education curricula will be examined: as a cross-curricular topic, as a standalone subject, and by integration within other subjects. Real-world examples of CT integration in compulsory education across various countries are provided, offering insights into successful implementation strategies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, ECG Compression Based on Successive Differences(IEEE, 2023-05-22) ;Gusev, Marjan; ;Shekerov, ATemelkov, GThis paper aims to reduce the amount of physical space the electrocardiogram data occupies and needs to be transferred, designing an efficient algorithm that can run on hardware commonly found in a medical device setting. The algorithm needs to be compatible with real-time data transfer and be fast and lossless. We introduce an algorithm inspired by pulse code modulation in telecommunication theory based on successive differences between neighboring electrocardiogram samples. The research hypothesis addressed in this paper finds if the new algorithm can reduce the data size by a meaningful amount and efficiently. Further on we tackle the research questions to find the level of distortion, compression, and processing speed of compression and decompression, along with the analysis of benefits and disadvantages. We reduced the storage space or bits to be transferred up to 46% reaching a compression ratio of 2.17 for an electrocardiogram benchmark dataset of up to 100 Mbits.
