Učni načrt predmeta

Predmet:

Napredni IKT pristopi

Course:

Advanced ICT Approaches

Študijski program in stopnja / Study programme and level	Študijska smer / Study field	Letnik / Academic year	Semester / Semester
Informacijske in komunikacijske tehnologije, 3. stopnja	/	1	1
Information and Communication Technologies, 3rd cycle	/	1	1

Vrsta predmeta / Course type

Obvezni / Mandatory

Univerzitetna koda predmeta / University course code:

IKT3-941

Predavanja Lectures	Seminar Seminar	Vaje Tutorial	Klinične vaje work	Druge oblike študija	Samost. delo Individ. work	ECTS
45	45			45	315	15

*Navedena porazdelitev ur velja, če je vpisanih vsaj 15 študentov. Drugače se obseg izvedbe kontaktnih ur sorazmerno zmanjša in prenese v samostojno delo. / This distribution of hours is valid if at least 15 students are enrolled. Otherwise the contact hours are linearly reduced and transfered to individual work.

Nosilec predmeta / Course leader:

doc. dr. Tome Eftimov

Sodelavci / Lecturers:

Jeziki / Languages:

Predavanja / Lectures:

slovenščina, angleščina

Vaje / Tutorial:

Slovenian, English

Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisites:

Zaključen študij druge stopnje s področja informacijskih ali komunikacijskih tehnologij ali zaključen študij druge stopnje na drugih področjih z znanjem osnov s področja predmeta. Potrebna so tudi osnovna znanja matematike, računalništva in informatike.

Completed second-cycle studies in information or communication technologies, or completed second-cycle studies in other fields with knowledge of the fundamentals of this course. Basic knowledge of mathematics, computer science, and informatics is also required.

Vsebina:

Content (Syllabus outline):

Študenti se bodo seznanili z naprednimi znanstvenimi vsebinami na področju doktorskega študijskega programa informacijskih in komunikacijskih tehnologij, vključno s področji tehnologij znanja, inteligentnih sistemov in robotike, komunikacijskih tehnologij, računalniških struktur in sistemov ter naprednih internetnih tehnologij. Vsebina predmeta bo zasnovana problemsko in tematsko, pri čemer bo organizirana v smiselno zaokrožene tematske sklope, ki bodo obravnavali ključna raziskovalna vprašanja in sodobne pristope posameznih področij, namesto klasične delitve po disciplinah.

Pregled naprednih tehnik in konceptov bo podan na sistematičen in poglobljen način ter bo vključeval analizo aktualnih raziskovalnih rezultatov, primerjavo metod na ravni trenutnega stanja znanja (state of the art) ter identifikacijo odprtih raziskovalnih izzivov. Poseben poudarek bo namenjen interdisciplinarnosti, povezovanju teorije z raziskovalno prakso ter razumevanju širšega raziskovalnega konteksta posameznih tematik. K sodelovanju bodo, kjer bo to mogoče, povabljeni raziskovalci, ki se aktivno ukvarjajo z obravnavanimi tematskimi sklopi, vključno z mlajšimi predavatelji, ki bodo predstavili sodobne, aktualne in perspektivne pristope na svojih raziskovalnih področjih. Predmet bo tako študentom omogočil vpogled v najnovejše trende in metode ter jih spodbudil h kritičnemu razmišljanju in samostojnemu raziskovalnemu delu.

Students will gain an overview of the advanced scientific topics of the third-cycle study programme in Information and Communication Technologies, covering knowledge technologies, intelligent systems and robotics, communication technologies, computer structures and systems, and advanced Internet technologies. The course content will be designed in a problem- and theme-oriented manner, organised into meaningful thematic clusters that address key research questions and contemporary approaches in individual fields, rather than following the traditional division by discipline.

An overview of advanced techniques and concepts will be provided in a systematic and in-depth manner, including an analysis of current research results, a comparison of state-of-the-art methods, and the identification of open research challenges. Special emphasis will be placed on interdisciplinarity, linking theory with research practice, and understanding the broader research context of individual topics. Where possible, researchers actively working on the topics covered will be invited to contribute, including early-career lecturers who will present contemporary and promising approaches in their research areas. The course will thus provide students with insight into the latest trends and methods and encourage critical thinking and independent research.

Temeljna literatura in viri / Readings:

Izbrani znanstveni članki in ostala znanstvena literatura s področja obravnavanih vsebinskih področij informacijskih in komunikacijskih tehnologij (tehnologije znanja, inteligentni sistemi in robotika, komunikacijske tehnologije, računalniške strukture in sistemi, napredne internetne tehnologije). / Selected scientific articles and other scientific literature in the field of information and communication technologies (knowledge technologies, intelligent systems and robotics, communication technologies, computer structures and systems, advanced Internet technologies).

Cilji in kompetence:

Objectives and competences:

Cilj predmeta je pridobitev celostnega pregleda najnovejših raziskav in izzivov na področjih vsebinskih sklopov doktorskega študijskega programa IKT z vidika sedanjega stanja raziskav in njihovega bodočega razvoja.

Pomemben cilj je pridobiti poznavanje tematik celotnega doktorskega študijskega programa IKT ter s tem zagotoviti širino kot tudi globino znanja, nujno potrebnega za pravilno umestitev konkretnega raziskovalnega dela študenta v širše raziskovalno področje IKT ter uspešno povezovanje z drugimi raziskovalnimi področji.

The aim of the course is to obtain a comprehensive overview of recent advances and challenges within all thematic modules of the ICT doctoral study programme, in terms of the current state of the art and future research directions.

An important goal is to develop a thorough understanding of the topics covered across the entire ICT doctoral study programme, thereby ensuring both breadth and depth of knowledge — which is indispensable for situating the student's own research within the broader ICT research landscape and for achieving successful integration with other research fields.

Predvideni študijski rezultati:

Intendeded learning outcomes:

Celosten pregled študijskega področja, razumevanje naprednih tehnik in bodočih znanstvenih usmeritev. Študenti bodo tako pridobili napredno znanje o IKT in sposobnost suverene komunikacije tako znotraj področja raziskav IKT kot tudi z drugimi raziskovalnimi področji.

A comprehensive overview of the study field, an understanding of advanced techniques, and awareness of future research directions. Students will acquire advanced knowledge of ICT and the ability to communicate competently both within the ICT research community and across other research areas.

Metode poučevanja in učenja:

Learning and teaching methods:

Interaktivna predavanja, seminar, konzultacije, individualno voden študij.

Interactive lectures, seminar, consultations, individual guided studies.

Načini ocenjevanja:

Delež v % / Weight in %

Assesment:

Pisni izpit

100 %

Written exam

Reference nosilca / Lecturer's references:

1.	Cenikj, G., Nikolikj, A., Petelin, G., van Stein, N., Doerr, C., & Eftimov, T. (2026). A survey of features used for representing black-box single-objective continuous optimization. Swarm and Evolutionary Computation, 101, 102288
2.	Gjorgjevikj, A., Nikolikj, A., Seljak, B. K., & Eftimov, T. (2025). User-defined trade-offs in LLM benchmarking: balancing accuracy, scale, and sustainability. Knowledge-Based Systems, 114405
3.	Nikolikj, A., & Eftimov, T. (2025). Exploring module interactions in modular CMA-ES across problem classes. Swarm and Evolutionary Computation, 98, 102116
4.	Ispirova, G., Eftimov, T., Džeroski, S., & Seljak, B. K. (2024). MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets. Expert Systems with Applications, 237, 121507
5.	Cenikj, G., Strojnik, L., Angelski, R., Ogrinc, N., Koroušić Seljak, B., & Eftimov, T. (2023). From language models to large-scale food and biomedical knowledge graphs. Scientific Reports, 13(1), 7815