| Tartalom: |
http://hdl.handle.net/20.500.12944/108721 |
| Archívum: |
Közszolgálati Tudásportál |
| Gyűjtemény: |
Publikációk
Karokon kívüli egységek
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| Cím: |
AI for Automatic Integration of Interdisciplinary Bridge Modules in Educational Programs
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| Létrehozó: |
Murat, Kozhanov
Amir, Mosavi
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| Téma: |
Természettudományok
Természettudományok/Matematika- és számítástudományok
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| Tartalmi leírás: |
This paper presents an approach to applying artificial intelligence methods for the automated analysis of academic curricula and the identification of potential interdisciplinary modules. The input data consists of Excel exports which contains lists of the courses, credits, semesters, and prerequisites without syllabi. During preprocessing, the course titles were normalized and near-duplicates were merged using fuzzy matching (RapidFuzz).
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| Típus: |
info:eu-repo/semantics/other
|
| Formátum: |
application/pdf
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| Azonosító: |
nke:9786012284720
nke:36418836
nke:10058509
nke:10. International Scientific and Practical Conference “Computer Science and Applied Mathematics” (CSAM-2025)
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| Létrehozó: |
info:eu-repo/semantics/openAccess
|
