Print Email Facebook Twitter Competences in Machine Learning Title Competences in Machine Learning: The order of competences that students need to learn in ML Author Burnik, Elmedin (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Migut, M.A. (mentor) Specht, M.M. (mentor) Özkan, B. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2022-06-22 Abstract Machine learning is becoming more and more applied within business and academia alike. This has led researchers to look inwards and discuss whether the current way of teaching and learning machine learning is the right way. Within this train of thought, one must investigate the characteristics of teaching and learning. Namely, what are the competences required to learn, and in what order should these be learned. This research paper focuses on realizing the answer to that question by combining past research papers on how to define competences, how to establish an order of competences, and how to establish competences through the help of questionnaires answered by academics within the machine learning sector teaching Computer Science students. The results from the academic analysis and the resulting data from the questionnaires are combined to organize a result, established through two different methods used by researchers. To conclude, the paper is reflected upon, and its merits, demerits, and trade-offs are summarized, presenting a final recommendation for any future work done on this topic. Subject Machine learningCompetenceteaching method To reference this document use: http://resolver.tudelft.nl/uuid:ea21ab8a-5622-466a-be59-577a946dc15d Part of collection Student theses Document type bachelor thesis Rights © 2022 Elmedin Burnik Files PDF Research_paper_final_version.pdf 510.47 KB Close viewer /islandora/object/uuid:ea21ab8a-5622-466a-be59-577a946dc15d/datastream/OBJ/view