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001-es BibID:	BIBFORM100800
035-os BibID:	(Scopus)85121642125
Első szerző:	Takács Viktor László (közgazdász, informatikus)
Cím:	Mathability in Business Education / Takács Viktor László, Bubnó Katalin
Dátum:	2022
ISSN:	1785-8860
Megjegyzések:	Data Analyst or Data Scientist is one of the most sought-after professions. In tertiary education, the most common way for someone to become a Data Analyst is to learn Business and, later, if someone has some computational skills they can learn Computer Science as well. With the two degrees, they can solve real-life problems in their job. But there are a lot of necessary things they had never studied before because the basic conceptual methodology and the mindset were not based on any of the two curricula. Our aim is to develop a method in introductory business education to lay down the bases of the right-thinking towards data sciences for undergraduate students in Economics. If they are interested in the topic, they can orient themselves towards data sciences during their further studies. In this paper, we present a methodology to help Economics and Business Students to understand the main business questions, formalize the questions correctly, find computer-based solutions, and discuss/debug the results. Furthermore, students must learn basic data transformations and data enrichment methods as well, which is the primary feature of high-mathability problem-solving approaches. The tool we use is Microsoft Excel which contains OLAP (On-Line Analytical Processes) elements.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk OLAP data science formalization management questions computer problem-solving high-mathability teaching approaches knowledge transfer
Megjelenés:	Acta Polytechnica Hungarica. - 19 : 1 (2022), p. 9-29. -
További szerzők:	Takácsné Bubnó Katalin (1974-) (matematika tanár, informatika tanár)
Pályázati támogatás:	EFOP-3.6.1-16-2016-00022 EFOP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM084829
035-os BibID:	(WOS)000483393400006 (Scopus)85073563702
Első szerző:	Takácsné Bubnó Katalin (matematika tanár, informatika tanár)
Cím:	Cognitive Aspects of Mathematics-aided Computer Science Teaching? / Katalin Bubnó, Viktor László Takács
Dátum:	2019
ISSN:	1785-8860
Megjegyzések:	Some years ago we started an experiment with teaching an algorithmic thinking method, in an old-new approach and with a newly developed ecosystem. We planned our method for the future, when students will use their own devices in schools, and computer programming should usually be integrated into various teaching environments, including teaching mathematical problem solving once again. Our method fits into analogy-based pedagogical research, which focuses on problem solving in computer science. We presented and examined our method at the 2017 CoginfoCom Conference, in the sense of Mathability. There, we also asked further questions concerning the efficiency of analogybased computer programming teaching methods [2]. In this paper, we would like to answer these questions.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk problem solving mathability mathematical psychology
Megjelenés:	Acta Polytechnica Hungarica. - 16 : 6 (2019), p. 73-93. -
További szerzők:	Takács Viktor László (1975-) (közgazdász, informatikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: