Data Science and its position in university education within National Project IT Academy-Education for 21st Century

Autor:	L'ubomír Antoni, M. Opiela, A. Szabari, S. Horvat, P. Gursky, Gabriela Andrejková, L. Snajder, Ondrej Kridlo, Ján Guniš, Dusan Sveda, Stanislav Krajci
Rok vydání:	2020
Předmět:	business.industry Deep learning ComputingMilieux_COMPUTERSANDEDUCATION Task analysis Position (finance) University education Center (algebra and category theory) Sociology Artificial intelligence business Electronic learning Competence (human resources) Data science
Zdroj:	2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA).
DOI:	10.1109/iceta51985.2020.9379237
Popis:	In this paper, we present the general description of Data Science, artificial intelligence, machine learning and deep learning. We describe the short history of Data Science from the beginning to nowadays. We briefly notate the interdisciplinarity of Data Science, different roles of data scientists, different types of tasks in machine learning. We thoroughly present the role of National project IT Academy - Education for the 21st Century in the university education in Slovakia. Moreover, we describe the main role of Competence center for university education and the several educational and research results of this center regarding the national project IT Academy - Education for the 21st Century.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::91baf9d41b2c8706ee38afb0173903f2 https://doi.org/10.1109/iceta51985.2020.9379237 Zobrazit plný text záznamu